Binary Hybrid GA-PSO based algorithm for compression of hyperspectral data. - Pedram Ghamisi; Farshid Sepehrband; Jayran Choupan; Mohammad Mortazavi (ICSPCS, 2011)

A novel adaptive compression method for hyperspectral images by using EDT and particle swarm optimization. - Pedram Ghamisi; Lalit Kumar 002 (Digital Photography, 2012)

Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. - Pedram Ghamisi; Micael S. Couceiro; Nuno M. F. Ferreira; Lalit Kumar 002 (IGARSS, 2012)

An efficient method for segmentation of images based on fractional calculus and natural selection. - Pedram Ghamisi; Micael S. Couceiro; Jón Atli Benediktsson; Nuno M. F. Ferreira (Expert Syst. Appl., 2012)

The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization. - Pedram Ghamisi; Jón Atli Benediktsson; Magnus O. Ulfarsson (IGARSS, 2013)

Spectral-spatial classification based on integrated segmentation. - Pedram Ghamisi; Micael S. Couceiro; Mathieu Fauvel; Jón Atli Benediktsson (IGARSS, 2013)

Fusion of hyperspectral and LiDAR data in classification of urban areas. - Pedram Ghamisi; Jón Atli Benediktsson; Stuart R. Phinn (IGARSS, 2014)

FODSPO based feature selection for hyperspectral remote sensing data. - Pedram Ghamisi; Micael S. Couceiro; Jón Atli Benediktsson (WHISPERS, 2014)

Integration of Segmentation Techniques for Classification of Hyperspectral Images. - Pedram Ghamisi; Micael S. Couceiro; Mathieu Fauvel; Jón Atli Benediktsson (IEEE Geosci. Remote. Sens. Lett., 2014)

Automatic Framework for Spectral-Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles. - Pedram Ghamisi; Jón Atli Benediktsson; Gabriele Cavallaro; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction. - Pedram Ghamisi; Jón Atli Benediktsson; Johannes R. Sveinsson (IEEE Trans. Geosci. Remote. Sens., 2014)

Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields. - Pedram Ghamisi; Jón Atli Benediktsson; Magnus O. Ulfarsson (IEEE Trans. Geosci. Remote. Sens., 2014)

Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization. - Pedram Ghamisi; Micael S. Couceiro; Fernando Manuel Lourenço Martins; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2014)

An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia. - Pedram Ghamisi; Dan Wu; Gabriele Cavallaro; Jón Atli Benediktsson; Stuart R. Phinn; Nicola Falco (IGARSS, 2015)

Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization. - Pedram Ghamisi; Jón Atli Benediktsson (IEEE Geosci. Remote. Sens. Lett., 2015)

A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery. - Pedram Ghamisi; Abder-Rahman Ali; Micael S. Couceiro; Jón Atli Benediktsson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Novel Feature Selection Approach Based on FODPSO and SVM. - Pedram Ghamisi; Micael S. Couceiro; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2015)

A Survey on Spectral-Spatial Classification Techniques Based on Attribute Profiles. - Pedram Ghamisi; Mauro Dalla Mura; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2015)

Deep fusion of hyperspectral and LiDAR data for thematic classification. - Yushi Chen; Chunyang Li; Pedram Ghamisi; Chunyu Shi; Yanfeng Gu (IGARSS, 2016)

Extinction profiles: A novel approach for the analysis of remote sensing data. - Pedram Ghamisi; Roberto Souza 001; Letícia Rittner; Jón Atli Benediktsson; Roberto A. Lotufo; Xiao Xiang Zhu 001 (IGARSS, 2016)

Extended extinction profile for the classification of hyperspectral images. - Pedram Ghamisi; Roberto Souza 001; Jón Atli Benediktsson; Xiao Xiang Zhu 001; Letícia Rittner; Roberto A. Lotufo (WHISPERS, 2016)

Object based fusion of polarimetric SAR and hyperspectral imaging for land use classification. - Jingliang Hu; Pedram Ghamisi; Andreas Schmitt; Xiao Xiang Zhu 001 (WHISPERS, 2016)

Land-cover monitoring using time-series hyperspectral data via fractional-order darwinian particle swarm optimization segmentation. - Naoto Yokoya; Pedram Ghamisi (WHISPERS, 2016)

A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data. - Pedram Ghamisi; Yushi Chen; Xiao Xiang Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Hyperspectral Data Classification Using Extended Extinction Profiles. - Pedram Ghamisi; Roberto Souza 001; Jón Atli Benediktsson; Letícia Rittner; Roberto A. Lotufo; Xiao Xiang Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks. - Yushi Chen; Hanlu Jiang; Chunyang Li; Xiuping Jia; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2016)

Extinction Profiles for the Classification of Remote Sensing Data. - Pedram Ghamisi; Roberto Souza 001; Jón Atli Benediktsson; Xiao Xiang Zhu 001; Letícia Rittner; Roberto A. Lotufo (IEEE Trans. Geosci. Remote. Sens., 2016)

Multiple composite kernel learning for hyperspectral image classification. - Peijun Du; Junshi Xia; Pedram Ghamisi; Akira Iwasaki; Jón Atli Benediktsson (IGARSS, 2017)

Feature fusion of hyperspectral and lidar data using extinction profiles and total variation. - Pedram Ghamisi; Behnood Rasti; Xiao Xiang Zhu 001 (IGARSS, 2017)

Hyperspectral images classification by fusing extinction profiles feature. - Nanjun He; Leyuan Fang; Shutao Li; Pedram Ghamisi; Jón Atli Benediktsson (IGARSS, 2017)

Evaluation of polsar similarity measures with spectral clustering. - Jingliang Hu; Yuanyuan Wang 002; Pedram Ghamisi; Xiao Xiang Zhu 001 (IGARSS, 2017)

Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IGARSS, 2017)

Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning. - Naoto Yokoya; Pedram Ghamisi; Junshi Xia (IGARSS, 2017)

Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study. - Pedram Ghamisi; Gabriele Cavallaro; Dan Wu; Jón Atli Benediktsson; Antonio Plaza (CoRR, 2017)

Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Tehran metropolitan area in Iran. - Shaghayegh Kargozar Nahavandya; Lalit Kumar; Pedram Ghamisi (CoRR, 2017)

Deep Fusion of Remote Sensing Data for Accurate Classification. - Yushi Chen; Chunyang Li; Pedram Ghamisi; Xiuping Jia; Yanfeng Gu (IEEE Geosci. Remote. Sens. Lett., 2017)

Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network. - Yushi Chen; Lin Zhu 013; Pedram Ghamisi; Xiuping Jia; Guoyu Li; Liang Tang (IEEE Geosci. Remote. Sens. Lett., 2017)

LiDAR Data Classification Using Extinction Profiles and a Composite Kernel Support Vector Machine. - Pedram Ghamisi; Bernhard Höfle (IEEE Geosci. Remote. Sens. Lett., 2017)

Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling. - Behnood Rasti; Magnus Orn Ulfarsson; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2017)

Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network. - Pedram Ghamisi; Bernhard Höfle; Xiao Xiang Zhu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Deep Recurrent Neural Networks for Hyperspectral Image Classification. - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis. - Behnood Rasti; Pedram Ghamisi; Richard Gloaguen (IEEE Trans. Geosci. Remote. Sens., 2017)

Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis. - Behnood Rasti; Pedram Ghamisi; Javier Plaza; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2017)

The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. - Richard Gloaguen; Pedram Ghamisi; Sandra Lorenz; Moritz Kirsch; Robert Zimmermann; René Booysen; Louis Andreani; Robert Jackisch; Erik Hermann; Laura Tusa; Gabriel Unger; Cecilia Contreras; et al. (IGARSS, 2018)

Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. - Mahdi Khodadadzadeh; Pedram Ghamisi; Cecilia Contreras; Richard Gloaguen (IGARSS, 2018)

Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. - Chunping Qiu; Michael Schmitt 003; Pedram Ghamisi; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2018)

Sparse and Smooth Feature Extraction for Hyperspectral Imagery. - Behnood Rasti; Magnus O. Ulfarsson; Pedram Ghamisi (IGARSS, 2018)

A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. - Cecilia Contreras; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2018)

Multisource and Multitemporal Data Fusion in Remote Sensing. - Pedram Ghamisi; Behnood Rasti; Naoto Yokoya; Qunming Wang; Bernhard Höfle; Lorenzo Bruzzone; Francesca Bovolo; Mingmin Chi; Katharina Anders; Richard Gloaguen; Peter M. Atkinson; Jón Atli Benediktsson (CoRR, 2018)

Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification. - Jingliang Hu; Pedram Ghamisi; Xiao Xiang Zhu 001 (ISPRS Int. J. Geo Inf., 2018)

IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net. - Pedram Ghamisi; Naoto Yokoya (IEEE Geosci. Remote. Sens. Lett., 2018)

LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks. - Aili Wang 001; Xin He 004; Pedram Ghamisi; Yushi Chen (IEEE Geosci. Remote. Sens. Lett., 2018)

Deformable Convolutional Neural Networks for Hyperspectral Image Classification. - Jian Zhu 006; Leyuan Fang; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2018)

Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks. - Hao Li 019; Pedram Ghamisi; Uwe Soergel; Xiao Xiang Zhu 001 (Remote. Sens., 2018)

Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets. - Chunping Qiu; Michael Schmitt 003; Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (Remote. Sens., 2018)

Noise Reduction in Hyperspectral Imagery: Overview and Application. - Behnood Rasti; Paul Scheunders; Pedram Ghamisi; Giorgio Licciardi; Jocelyn Chanussot (Remote. Sens., 2018)

MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection. - Xin Wu 001; Danfeng Hong; Pedram Ghamisi; Wei Li 032; Ran Tao 003 (Remote. Sens., 2018)

Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Based on a Gaussian Mixture Model and Error Ellipse. - Hamid Ghanbari; Saeid Homayouni; Pedram Ghamisi; Abdolreza Safari (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest. - Naoto Yokoya; Pedram Ghamisi; Junshi Xia; Sergey Sukhanov; Roel Heremans; Ivan Tankoyeu; Benjamin Bechtel; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Extinction Profiles Fusion for Hyperspectral Images Classification. - Leyuan Fang; Nanjun He; Shutao Li; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2018)

Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification. - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Corrections to "Deep Recurrent Neural Networks for Hyperspectral Image Classification". - Lichao Mou; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Random Forest Ensembles and Extended Multiextinction Profiles for Hyperspectral Image Classification. - Junshi Xia; Pedram Ghamisi; Naoto Yokoya; Akira Iwasaki (IEEE Trans. Geosci. Remote. Sens., 2018)

Generative Adversarial Networks for Hyperspectral Image Classification. - Lin Zhu 013; Yushi Chen; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2018)

An Integrated Multi-Sensor System for the In-Line Monitoring of Material Streams. - Peter Seidel; Markus Reuter; Stefan König; Sandra Lorenz; Vishnu Sudharshan; Junaidh Fareedh; Robert Zimmermann; Pedram Ghamisi; Peter Kaever; Richard Gloaguen (IEEE SENSORS, 2019)

Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. - Cecilia Contreras; Mahdi Khodadadzadeh; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2019)

A Novel Composite Kernel Approach for Multisensor Remote Sensing Data Fusion. - Pedram Ghamisi; Behnood Rasti; Richard Gloaguen (IGARSS, 2019)

Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping. - Richard Gloaguen; Margret C. Fuchs; Mahdi Khodadadzadeh; Pedram Ghamisi; Moritz Kirsch; René Booysen; Robert Zimmermann; Sandra Lorenz (IGARSS, 2019)

Multisensor Feature Fusion Using Low-Rank Modeling and Component Analysis. - Behnood Rasti; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2019)

LW-ODF: A Light-Weight Object Detection Framework for Optical Remote Sensing Imagery. - Xin Wu 001; Danfeng Hong; Pedram Ghamisi; Wei Li 032; Ran Tao 003 (IGARSS, 2019)

Mixed Noise Reduction in Hyperspectral Imagery. - Behnood Rasti; Pedram Ghamisi; Jocelyn Chanussot (WHISPERS, 2019)

Multiple convolutional layers fusion framework for hyperspectral image classification. - Guangzhe Zhao; Guangyun Liu; Leyuan Fang; Bing Tu; Pedram Ghamisi (Neurocomputing, 2019)

Multisensor Composite Kernels Based on Extreme Learning Machines. - Pedram Ghamisi; Behnood Rasti; Jón Atli Benediktsson (IEEE Geosci. Remote. Sens. Lett., 2019)

LiDAR Data Classification Using Spatial Transformation and CNN. - Xin He 004; Aili Wang 001; Pedram Ghamisi; Guoyu Li; Yushi Chen (IEEE Geosci. Remote. Sens. Lett., 2019)

Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis. - Behnood Rasti; Pedram Ghamisi; Magnus O. Ulfarsson (Remote. Sens., 2019)

Hyperspectral Image Classification with Multi-Scale Feature Extraction. - Bing Tu; Nanying Li; Leyuan Fang; Danbing He; Pedram Ghamisi (Remote. Sens., 2019)

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification. - Kaiqiang Zhu; Yushi Chen; Pedram Ghamisi; Xiuping Jia; Jón Atli Benediktsson (Remote. Sens., 2019)

Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction. - Sandra Lorenz; Peter Seidel; Pedram Ghamisi; Robert Zimmermann; Laura Tusa; Mahdi Khodadadzadeh; I. Cecilia Contreras; Richard Gloaguen (Sensors, 2019)

A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Deep Learning Ensemble for Hyperspectral Image Classification. - Yushi Chen; Ying Wang 028; Yanfeng Gu; Xin He 004; Pedram Ghamisi; Xiuping Jia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation. - Puhong Duan; Xudong Kang; Shutao Li; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification. - Yushi Chen; Kaiqiang Zhu; Lin Zhu 013; Xin He 004; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2019)

Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification. - Puhong Duan; Xudong Kang; Shutao Li; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2019)

Hyperspectral Image Classification With Squeeze Multibias Network. - Leyuan Fang; Guangyun Liu; Shutao Li; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2019)

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. - Renlong Hang; Qingshan Liu 001; Danfeng Hong; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2019)

Deep Learning for Hyperspectral Image Classification: An Overview. - Shutao Li; Weiwei Song; Leyuan Fang; Yushi Chen; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2019)

Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones. - Guichen Zhang; Pedram Ghamisi; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Sun Glint Removal of Hyperspectral Images via Texture-Aware Total Variation. - Puhong Duan; Jian Kang 005; Xudong Kang; Pedram Ghamisi; Shutao Li (IGARSS, 2020)

Intrinsic Image Decomposition-Based Resolution Enhancement for Mineral Mapping. - Puhong Duan; Pedram Ghamisi; Robert Jackisch; Xudong Kang; Richard Gloaguen; Shutao Li (IGARSS, 2020)

Remote Sensing and Deep Learning for Sustainable Mining. - Pedram Ghamisi; Hao Li 019; Robert Jackisch; Behnood Rasti; Richard Gloaguen (IGARSS, 2020)

Towards 4D Virtual Outcrops with Hyperspectral Imaging. - Richard Gloaguen; Moritz Kirsch; Sandra Lorenz; René Booysen; Robert Zimmermann; Pedram Ghamisi; Behnood Rasti (IGARSS, 2020)

Fusion of Multispectral LiDAR and Hyperspectral Imagery. - Behnood Rasti; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2020)

COVID-19 Outbreak Prediction with Machine Learning. - Sina Ardabili; Amir Mosavi; Pedram Ghamisi; Filip Ferdinand; Annamária R. Várkonyi-Kóczy; Uwe Reuter; Timon Rabczuk; Peter M. Atkinson (Algorithms, 2020)

Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep. - Behnood Rasti; Danfeng Hong; Renlong Hang; Pedram Ghamisi; Xudong Kang; Jocelyn Chanussot; Jón Atli Benediktsson (CoRR, 2020)

Data Science in Economics. - Saeed Nosratabadi; Amir Mosavi; Puhong Duan; Pedram Ghamisi (CoRR, 2020)

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. - Amir Mosavi; Pedram Ghamisi; Yaser Faghan; Puhong Duan (CoRR, 2020)

Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices. - Majid Dehghani; Somayeh Salehi; Amir Mosavi; Narjes Nabipour; Shahaboddin Shamshirband; Pedram Ghamisi (ISPRS Int. J. Geo Inf., 2020)

Remote sensing image classification using subspace sensor fusion. - Behnood Rasti; Pedram Ghamisi (Inf. Fusion, 2020)

Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. - Sancho Salcedo-Sanz; Pedram Ghamisi; María Piles; Martin Werner 001; Lucas Cuadra; Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Jordi Muñoz-Marí; Amirhosein Mosavi; Gustau Camps-Valls (Inf. Fusion, 2020)

Multispectral Change Detection With Bilinear Convolutional Neural Networks. - Yun Lin; Shutao Li; Leyuan Fang; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2020)

Hyperspectral Mixed Gaussian and Sparse Noise Reduction. - Behnood Rasti; Pedram Ghamisi; Jón Atli Benediktsson (IEEE Geosci. Remote. Sens. Lett., 2020)

Multilevel Structure Extraction-Based Multi-Sensor Data Fusion. - Puhong Duan; Xudong Kang; Pedram Ghamisi; Yu Liu 023 (Remote. Sens., 2020)

Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping. - Puhong Duan; Jibao Lai; Pedram Ghamisi; Xudong Kang; Robert Jackisch; Jian Kang 005; Richard Gloaguen (Remote. Sens., 2020)

High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery. - Jian Kang 005; Rubén Fernández-Beltran; Zhen Ye; Xiaohua Tong; Pedram Ghamisi; Antonio Plaza (Remote. Sens., 2020)

A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. - Hao Li 019; Pedram Ghamisi; Behnood Rasti; Zhaoyan Wu; Aurélie Shapiro; Michael Schultz; Alexander Zipf (Remote. Sens., 2020)

How Hyperspectral Image Unmixing and Denoising Can Boost Each Other. - Behnood Rasti; Bikram Koirala; Paul Scheunders; Pedram Ghamisi (Remote. Sens., 2020)

Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm. - Kasra Rafiezadeh Shahi; Pedram Ghamisi; Behnood Rasti; Robert Jackisch; Paul Scheunders; Richard Gloaguen (Remote. Sens., 2020)

Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis. - Kasra Rafiezadeh Shahi; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Raimon Tolosana-Delgado; Richard Gloaguen (Remote. Sens., 2020)

Multiple Optical Sensor Fusion for Mineral Mapping of Core Samples. - Behnood Rasti; Pedram Ghamisi; Peter Seidel; Sandra Lorenz; Richard Gloaguen (Sensors, 2020)

An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images. - Mohammad Moein Sheikholeslami; Saeed Nadi; Amin Alizadeh Naeini; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review. - Mohammadreza Sheykhmousa; Masoud MahdianPari; Hamid Ghanbari; Fariba Mohammadimanesh; Pedram Ghamisi; Saeid Homayouni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization. - Puhong Duan; Xudong Kang; Shutao Li; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2020)

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. - Renlong Hang; Zhu Li 001; Pedram Ghamisi; Danfeng Hong; Guiyu Xia; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network. - Xin He 004; Yushi Chen; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2020)

Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification. - Danfeng Hong; Xin Wu 001; Pedram Ghamisi; Jocelyn Chanussot; Naoto Yokoya; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization. - Jian Kang 005; Rubén Fernández-Beltran; Zhen Ye; Xiaohua Tong; Pedram Ghamisi; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2020)

Hyperspectral Anomaly Detection based on Low-rank Structure Exploration. - Shizhen Chang; Pedram Ghamisi (CIKM Workshops, 2021)

CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. - Aleksandra Gruca; Pedro Herruzo; Pilar Rípodas; Andrzej Kucik; Christian Briese; Michael K. Kopp 001; Sepp Hochreiter; Pedram Ghamisi; David P. Kreil (CIKM, 2021)

Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones. - Behnood Rasti; Pedram Ghamisi (CIKM Workshops, 2021)

Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. - Yonghao Xu; Pedram Ghamisi (CIKM Workshops, 2021)

Spectral Unmixing Using Deep Convolutional Encoder-Decoder. - Behnood Rasti; Bikram Koirala; Paul Scheunders; Pedram Ghamisi (IGARSS, 2021)

Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios. - Behnood Rasti; Bikram Koirala; Paul Scheunders; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2021)

When is the Right Time to Apply Denoising? - Kasra Rafiezadeh Shahi; Behnood Rasti; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (IGARSS, 2021)

A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data. - Kasra Rafiezadeh Shahi; Pedram Ghamisi; Robert Jackisch; Behnood Rasti; Paul Scheunders; Richard Gloaguen (WHISPERS, 2021)

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010; Pedram Ghamisi (CoRR, 2021)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Zijia Zhang 001; Yan Liu; Pedram Ghamisi; Kun Li; Xiaobo Liu 001; Zhihua Cai (CoRR, 2021)

Deep Learning and Earth Observation to Support the Sustainable Development Goals. - Claudio Persello; Jan Dirk Wegner; Ronny Hänsch; Devis Tuia; Pedram Ghamisi; Mila Koeva; Gustau Camps-Valls (CoRR, 2021)

U-IMG2DSM: Unpaired Simulation of Digital Surface Models With Generative Adversarial Networks. - Mercedes Eugenia Paoletti; Juan Mario Haut; Pedram Ghamisi; Naoto Yokoya; Javier Plaza; Antonio Plaza (IEEE Geosci. Remote. Sens. Lett., 2021)

Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery. - Hejar Shahabi; Maryam Rahimzad; Sepideh Tavakkoli Piralilou; Omid Ghorbanzadeh; Saeid Homayouni; Thomas Blaschke; Samsung Lim; Pedram Ghamisi (Remote. Sens., 2021)

Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint. - Hao Xie; Yushi Chen; Pedram Ghamisi (Remote. Sens., 2021)

The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. - Pedram Ghamisi; Kasra Rafiezadeh Shahi; Puhong Duan; Behnood Rasti; Sandra Lorenz; René Booysen; Samuel T. Thiele; Isabel Cecilia Contreras Acosta; Moritz Kirsch; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity. - Yanbiao Ma; Yuxin Li; Kexin Feng; Yu Xia; Qi Huang; Hongyan Zhang 001; Colin Prieur; Giorgio Licciardi; Hana Malha; Jocelyn Chanussot; Pedram Ghamisi; Ronny Hänsch; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. - Caleb Robinson; Kolya Malkin; Nebojsa Jojic; Huijun Chen; Rongjun Qin; Changlin Xiao; Michael Schmitt 003; Pedram Ghamisi; Ronny Hänsch; Naoto Yokoya (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification. - Jie Xie 002; Nanjun He; Leyuan Fang; Pedram Ghamisi (IEEE Trans. Circuits Syst. Video Technol., 2021)

Fusion of Dual Spatial Information for Hyperspectral Image Classification. - Puhong Duan; Pedram Ghamisi; Xudong Kang; Behnood Rasti; Shutao Li; Richard Gloaguen (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Image Classification With Attention-Aided CNNs. - Renlong Hang; Zhu Li 001; Qingshan Liu 001; Pedram Ghamisi; Shuvra S. Bhattacharyya (IEEE Trans. Geosci. Remote. Sens., 2021)

Classification of Hyperspectral Images via Multitask Generative Adversarial Networks. - Renlong Hang; Feng Zhou 006; Qingshan Liu 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2021)

A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CDCEO@IJCAI, 2022)

The Landslide4Sense Competition 2022. - Pedram Ghamisi; Omid Ghorbanzadeh; Yonghao Xu; Pedro Herruzo; David P. Kreil; Michael Kopp 001; Sepp Hochreiter (CDCEO@IJCAI, 2022)

Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery. - Laura Elena Cué La Rosa; Dário Augusto Borges Oliveira; Samuel T. Thiele; Pedram Ghamisi; Richard Gloaguen (CDCEO@IJCAI, 2022)

Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. - Yonghao Xu; Weikang Yu; Pedram Ghamisi (CDCEO@IJCAI, 2022)

EOD: The IEEE GRSS Earth Observation Database. - Michael Schmitt 003; Pedram Ghamisi; Naoto Yokoya; Ronny Hänsch (IGARSS, 2022)

Unsupervised Deep Hyperspectral Inpainting Using a New Mixing Model. - Behnood Rasti; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2022)

Hyperspectral Clustering Using Atrous Spatial-Spectral Convolutional Network. - Kasra Rafiezadeh Shahi; Pedram Ghamisi; Behnood Rasti; Paul Scheunders; Richard Gloaguen (IGARSS, 2022)

Hyperspectral Unmixing Using Convolutional Autoencoder For Metal Detection In Lithium-Ion Battery Recycling Applications. - Seema Chouhan; Behnood Rasti; Pedram Ghamisi; Sandra Lorenz; Margret C. Fuchs; Richard Gloaguen (WHISPERS, 2022)

Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package. - Daniel Coquelin; Behnood Rasti; Markus Götz; Pedram Ghamisi; Richard Gloaguen; Achim Streit (WHISPERS, 2022)

Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. - Hao Li 019; Johannes Zech; Danfeng Hong; Pedram Ghamisi; Michael Schultz; Alexander Zipf (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives. - Jun Yue; Leyuan Fang; Pedram Ghamisi; Weiying Xie; Jun Li 009; Jocelyn Chanussot; Antonio J. Plaza (CoRR, 2022)

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. - Omid Ghorbanzadeh; Yonghao Xu; Hengwei Zhao; Junjue Wang; Yanfei Zhong; Dong Zhao; Qi Zang; Shuang Wang 001; Fahong Zhang 001; Yilei Shi; Xiao Xiang Zhu 001; Lin Bai; et al. (CoRR, 2022)

Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector. - Puhong Duan; Xudong Kang; Pedram Ghamisi (CoRR, 2022)

Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CoRR, 2022)

AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. - Yonghao Xu; Tao Bai; Weikang Yu; Shizhen Chang; Peter M. Atkinson; Pedram Ghamisi (CoRR, 2022)

Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. - Yi Han; Ming Yin; Puhong Duan; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2022)

Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels. - Qingyun Li; Yushi Chen; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2022)

OptFus: Optical Sensor Fusion for the Classification of Multisource Data: Application to Mineralogical Mapping. - Behnood Rasti; Pedram Ghamisi; Richard Gloaguen (IEEE Geosci. Remote. Sens. Lett., 2022)

Supervised Contrastive Learning-Based Classification for Hyperspectral Image. - Lingbo Huang; Yushi Chen; Xin He 004; Pedram Ghamisi (Remote. Sens., 2022)

Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East. - Soodabeh Namdari; Ali Ibrahim Zghair Alnasrawi; Omid Ghorbanzadeh; Armin Sorooshian; Khalil Valizadeh Kamran; Pedram Ghamisi (Remote. Sens., 2022)

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. - Sepideh Tavakkoli Piralilou; Golzar Einali; Omid Ghorbanzadeh; Thimmaiah Gudiyangada Nachappa; Khalil Gholamnia; Thomas Blaschke; Pedram Ghamisi (Remote. Sens., 2022)

Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan. - Bilal Aslam; Ahsen Maqsoom; Umer Khalil; Omid Ghorbanzadeh; Thomas Blaschke; Danish Farooq; Rana Faisal Tufail; Salman Ali Suhail; Pedram Ghamisi (Sensors, 2022)

Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection. - Samiran Das; Sawon Pratiher; Chirag Kyal; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. - Omid Ghorbanzadeh; Yonghao Xu; Hengwei Zhao; Junjue Wang; Yanfei Zhong; Dong Zhao; Qi Zang; Shuang Wang 001; Fahong Zhang 001; Yilei Shi; Xiao Xiang Zhu 001; Lin Bai; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification. - Ziping He; Kewen Xia; Pedram Ghamisi; Yuhen Hu; Shurui Fan; Baokai Zu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. - Zhuohong Li; Fangxiao Lu; Hongyan Zhang 001; Lilin Tu; Jiayi Li 001; Xin Huang 002; Caleb Robinson; Nikolay Malkin; Nebojsa Jojic; Pedram Ghamisi; Ronny Hänsch; Naoto Yokoya (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

MS$^{2}$A-Net: Multiscale Spectral-Spatial Association Network for Hyperspectral Image Clustering. - Kasra Rafiezadeh Shahi; Pedram Ghamisi; Behnood Rasti; Richard Gloaguen; Paul Scheunders (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm. - Kasra Rafiezadeh Shahi; Pedram Ghamisi; Behnood Rasti; Paul Scheunders; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Deep Semantic Segmentation of Trees Using Multispectral Images. - Irem Ülkü; Erdem Akagündüz; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Pedram Ghamisi; Xiaobo Liu 001; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Mixed Noise Removal for Hyperspectral Image With ${l_{0}}$-${l_{1 - 2}}$SSTV Regularization. - Li Zhang 028; Yan Qian; Jingmin Han; Puhong Duan; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Yao Ding 010; Xiaobo Liu 001; Zhihua Cai; Richard Gloaguen (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection. - Shizhen Chang; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. - Omid Ghorbanzadeh; Yonghao Xu; Pedram Ghamisi; Michael Kopp 001; David P. Kreil (IEEE Trans. Geosci. Remote. Sens., 2022)

Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples. - Xin He 004; Yushi Chen; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Modality Translation in Remote Sensing Time Series. - Xun Liu; Danfeng Hong; Jocelyn Chanussot; Baojun Zhao; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery. - Ming Lu; Leyuan Fang; Muxing Li; Bob Zhang 001; Yi Zhang 018; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

UnDIP: Hyperspectral Unmixing Using Deep Image Prior. - Behnood Rasti; Bikram Koirala; Paul Scheunders; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. - Majid Seydgar; Shahryar Rahnamayan; Pedram Ghamisi; Azam Asilian Bidgoli (IEEE Trans. Geosci. Remote. Sens., 2022)

Asymmetric Hash Code Learning for Remote Sensing Image Retrieval. - Weiwei Song; Zhi Gao; Renwei Dian; Pedram Ghamisi; Yongjun Zhang 002; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2022)

Transferring CNN With Adaptive Learning for Remote Sensing Scene Classification. - Weiquan Wang; Yushi Chen; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. - Yonghao Xu; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification. - Jun Yue; Leyuan Fang; Hossein Rahmani 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples. - Jun Yue; Dingshun Zhu; Leyuan Fang; Pedram Ghamisi; Yaowei Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Contour Structural Profiles: An Edge-Aware Feature Extractor for Hyperspectral Image Classification. - Ying Zhang 063; Puhong Duan; Jianxu Mao; Xudong Kang; Leyuan Fang; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. - Linshan Wu; Leyuan Fang; Jun Yue; Bob Zhang 001; Pedram Ghamisi; Min He (IEEE Trans. Image Process., 2022)

Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations. - Yonghao Xu; Pedram Ghamisi (IEEE Trans. Image Process., 2022)

Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo. - Wei Tong 002; Xiaorong Guan; Jian Kang 005; Zhao-Hui Sun; Rob Law 001; Pedram Ghamisi; Edmond Qi Wu (IEEE Trans. Intell. Transp. Syst., 2022)

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. - Omid Ghorbanzadeh; Yonghao Xu; Pedram Ghamisi; Michael Kopp 001; David P. Kreil (Zenodo, 2022)

Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning. - Omid Ghorbanzadeh; Alessandro Crivellari; Dirk Tiede; Pedram Ghamisi; Stefan Lang 001 (Remote. Sens., 2022)

Semi-supervised Classification for Remote Sensing Datasets. - Itza Hernandez-Sequeira; Rubén Fernández-Beltran; Yonghao Xu; Pedram Ghamisi; Filiberto Pla (ICIAP (1), 2023)

Hyperspectral Domain Adaptation for the Detection of Material Types in Recycling Streams at the Example of Electrolyzers. - Behnood Rasti; Aayush Jain; Margret C. Fuchs; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2023)

Masking Hyperspectral Imaging Data with Pretrained Models. - Elias Arbash; Andréa de Lima Ribeiro; Samuel T. Thiele; Nina Gnann; Behnood Rasti; Margret C. Fuchs; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2023)

Open Geology Database (OGD): An Integrated Platform for Geological, Mining, and Seismic Datasets for Open Research. - Samiran Das; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2023)

Deep Learning-Based Architectures For Multimodal Instance Segmentation. - Md Omar Faruk; Behnood Rasti; Margret C. Fuchs; Richard Gloaguen; Pedram Ghamisi (WHISPERS, 2023)

Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures. - Bikram Koirala; Samiran Das; Behnood Rasti; Pedram Ghamisi; Richard Gloaguen; Paul Scheunders (WHISPERS, 2023)

Transformer-Based Models for Hyperspectral Point Clouds Segmentation. - Aldino Rizaldy; Ahmed J. Afifi; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2023)

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CoRR, 2023)

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. - Ahmed J. Afifi; Samuel T. Thiele; Sandra Lorenz; Pedram Ghamisi; Raimon Tolosana-Delgado; Moritz Kirsch; Richard Gloaguen; Michael Heizmann (CoRR, 2023)

Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping. - Ali Jamali; Swalpa Kumar Roy; Danfeng Hong; Peter M. Atkinson; Pedram Ghamisi (CoRR, 2023)

SpectralGPT: Spectral Foundation Model. - Danfeng Hong; Bing Zhang 001; Xuyang Li; Yuxuan Li; Chenyu Li 002; Jing Yao 002; Naoto Yokoya; Hao Li 019; Pedram Ghamisi; Xiuping Jia; Antonio Plaza; Paolo Gamba; et al. (CoRR, 2023)

Local Window Attention Transformer for Polarimetric SAR Image Classification. - Ali Jamali; Swalpa Kumar Roy; Avik Bhattacharya; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2023)

BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net. - Seyd Teymoor Seydi; Mahdi Hasanlou; Jocelyn Chanussot; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Backdoor Attacks for Remote Sensing Data With Wavelet Transform. - Nikolaus Dräger; Yonghao Xu; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector. - Puhong Duan; Xudong Kang; Pedram Ghamisi; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2023)

PCLDet: Prototypical Contrastive Learning for Fine-Grained Object Detection in Remote Sensing Images. - Lihan Ouyang; Guangmiao Guo; Leyuan Fang; Pedram Ghamisi; Jun Yue (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery. - Laura Elena Cué La Rosa; Dário Augusto Borges Oliveira; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2023)

Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. - Shizhen Chang; Pedram Ghamisi (IEEE Trans. Image Process., 2023)

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. - Yonghao Xu; Weikang Yu; Pedram Ghamisi; Michael Kopp 001; Sepp Hochreiter (IEEE Trans. Image Process., 2023)

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010 (ACM Trans. Intell. Syst. Technol., 2023)

Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. - Jie Wu 035; Runmin Cong; Leyuan Fang; Chunle Guo; Bob Zhang 001; Pedram Ghamisi (Sci. China Inf. Sci., 2023)

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. - Ahmed J. Afifi; Samuel Thomas Thiele; Aldino Rizaldy; Sandra Lorenz; Moritz Kirsch; Pedram Ghamisi; Raimon Tolosana-Delgado; Richard Gloaguen; Michael Heizmann (RODARE, 2023)

Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula. - Ratiranjan Jena; Abdallah Shanableh; Rami Al-Ruzouq; Biswajeet Pradhan; Mohamed Barakat A. Gibril; Mohamad Ali Khalil; Omid Ghorbanzadeh; Ganapathy Pattukandan Ganapathy; Pedram Ghamisi (Remote. Sens., 2023)

WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping. - Ali Jamali; Swalpa Kumar Roy; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2023)

TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping. - Ali Jamali; Swalpa Kumar Roy; Jonathan Li 001; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2023)

An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region. - Ratiranjan Jena; Abdallah Shanableh; Rami Al-Ruzouq; Biswajeet Pradhan; Mohamed Barakat A. Gibril; Omid Ghorbanzadeh; Clement Atzberger; Mohamad Ali Khalil; Himanshu Mittal; Pedram Ghamisi (Remote. Sens., 2023)

Guest Editorial: Spectral imaging powered computer vision. - Jun Zhou 001; Fengchao Xiong; Lei Tong; Naoto Yokoya; Pedram Ghamisi (IET Comput. Vis., 2023)

Transformer-based contrastive prototypical clustering for multimodal remote sensing data. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Behnood Rasti; Xiaobo Liu 001; Zhihua Cai (Inf. Sci., 2023)

Towards 3D Hyperspectral Imaging. - Richard Gloaguen; Aldino Rizaldy; Ahmed J. Afifi; Sandra Lorenz; Samuel T. Thiele; Moritz Kirsch; Pedram Ghamisi (IGARSS, 2024)

PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR Data Classification. - Ali Jamali; Swalpa Kumar Roy; Bing Lu; Avik Bhattacharya; Pedram Ghamisi (IGARSS, 2024)

Dimensional Dilemma: Navigating the Fusion of Hyperspectral and Lidar Point Cloud Data for Optimal Precision - 2D vs. 3D. - Aldino Rizaldy; Ahmed J. Afifi; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2024)

MineNet-CD: Global Mining Change Detection Dataset. - Weikang Yu; Samiran Das; Aldino Rizaldy; Xiaokang Zhang; Richard Gloaguen; Pedram Ghamisi (IGARSS, 2024)

Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification. - Elias Arbash; Andréa de Lima Ribeiro; Aldino Rizaldy; Margret C. Fuchs; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (WHISPERS, 2024)

Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection. - Omid Ghorbanzadeh; Hejar Shahabi; Sepideh Tavakkoli Piralilou; Alessandro Crivellari; Laura Elena Cue La Rosa; Clement Atzberger; Jonathan Li 001; Pedram Ghamisi (IEEE Access, 2024)

Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery. - Ali Jamali; Swalpa Kumar Roy; Leila Hashemi Beni; Biswajeet Pradhan; Jonathan Li 001; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models. - Weikang Yu; Yonghao Xu; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. - Elias Arbash; Margret C. Fuchs; Behnood Rasti; Sandra Lorenz; Pedram Ghamisi; Richard Gloaguen (CoRR, 2024)

Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data. - Yonghao Xu; Pedram Ghamisi; Yannis Avrithis (CoRR, 2024)

Responsible AI for Earth Observation. - Pedram Ghamisi; Weikang Yu; Andrea Marinoni; Caroline M. Gevaert; Claudio Persello; Sivasakthy Selvakumaran; Manuela Girotto; Benjamin P. Horton; Philippe Rufin; Patrick Hostert; Fabio Pacifici; Peter M. Atkinson (CoRR, 2024)

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model. - Hang Fu; Genyun Sun; Yinhe Li; Jinchang Ren; Aizhu Zhang; Cheng Jing; Pedram Ghamisi (CoRR, 2024)

ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing. - Yuduo Wang; Weikang Yu; Michael Kopp 001; Pedram Ghamisi (CoRR, 2024)

A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification. - Yiyan Zhang; Hongmin Gao 001; Jun Zhou 001; Chenkai Zhang; Pedram Ghamisi; Shufang Xu; Chenming Li; Bing Zhang 001 (Expert Syst. Appl., 2024)

Spatial-Gated Multilayer Perceptron for Land Use and Land Cover Mapping. - Ali Jamali; Swalpa Kumar Roy; Danfeng Hong; Peter M. Atkinson; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2024)

Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification. - Ali Jamali; Swalpa Kumar Roy; Danfeng Hong; Peter M. Atkinson; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2024)

Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction. - Ali Jamali; Swalpa Kumar Roy; Jonathan Li 001; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2024)

LVM-StARS: Large Vision Model Soft Adaption for Remote Sensing Scene Classification. - Bohan Yang 013; Yushi Chen; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2024)

How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification. - Ali Jamali; Swalpa Kumar Roy; Danfeng Hong; Bing Lu; Pedram Ghamisi (Remote. Sens., 2024)

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. - Ahmed J. Afifi; Samuel T. Thiele; Aldino Rizaldy; Sandra Lorenz; Pedram Ghamisi; Raimon Tolosana-Delgado; Moritz Kirsch; Richard Gloaguen; Michael Heizmann (IEEE Trans. Geosci. Remote. Sens., 2024)

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. - Yidan Liu; Jun Yue; Shaobo Xia; Pedram Ghamisi; Weiying Xie; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification. - Swalpa Kumar Roy; Atri Sukul; Ali Jamali; Juan Mario Haut; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

IG-GAN: Interactive Guided Generative Adversarial Networks for Multimodal Image Fusion. - Chenhong Sui; Guobin Yang; Danfeng Hong; Haipeng Wang; Jing Yao 002; Peter M. Atkinson; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering. - Yuduo Wang; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. - Weikang Yu; Xiaokang Zhang; Samiran Das; Xiao Xiang Zhu 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery. - Weikang Yu; Xiaokang Zhang; Richard Gloaguen; Xiao Xiang Zhu 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

Prototypical Unknown-Aware Multiview Consistency Learning for Open-Set Cross-Domain Remote Sensing Image Classification. - Xiaokang Zhang; Wanjing Wu; Mi Zhang 004; Weikang Yu; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. - Elias Arbash; Margret C. Fuchs; Behnood Rasti; Sandra Lorenz; Pedram Ghamisi; Richard Gloaguen (RODARE, 2024)

Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. - Leyuan Fang; Peng Zhou; Xinxin Liu 002; Pedram Ghamisi; Si-Wei Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improving Mineral Classification Using Multimodal Hyperspectral Point Cloud Data and Multi-Stream Neural Network. - Aldino Rizaldy; Ahmed J. Afifi; Pedram Ghamisi; Richard Gloaguen (Remote. Sens., 2024)

Open Set Recognition in Real World. - Zhen Yang 026; Jun Yue; Pedram Ghamisi; Shiliang Zhang; Jiayi Ma 001; Leyuan Fang (Int. J. Comput. Vis., 2024)

SpectralGPT: Spectral Remote Sensing Foundation Model. - Danfeng Hong; Bing Zhang 001; Xuyang Li; Yuxuan Li; Chenyu Li 002; Jing Yao 002; Naoto Yokoya; Hao Li 019; Pedram Ghamisi; Xiuping Jia; Antonio Plaza; Paolo Gamba; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Data publication: MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery. - Weikang Yu; Xiaokang Zhang; Richard Gloaguen; Xiao Xiang Zhu 001; Pedram Ghamisi (RODARE, 2024)

Polymers Hyperspectral Imaging. - Elias Arbash; Andréa de Lima Ribeiro; Aldino Rizaldy; Margret C. Fuchs; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (RODARE, 2024)

SUMMIT: A SAR foundation model with multiple auxiliary tasks enhanced intrinsic characteristics. - Yuntao Du 006; Yushi Chen; Lingbo Huang; Yahu Yang; Pedram Ghamisi; Qian Du 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification. - Swalpa Kumar Roy; Ali Jamali; Koushik Biswas; Danfeng Hong; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

KitWaSor: Pioneering pre-trained model for kitchen waste sorting with an innovative million-level benchmark dataset. - Leyuan Fang; Shuaiyu Ding; Hao Feng; Junwu Yu; Lin Tang; Pedram Ghamisi (CAAI Trans. Intell. Technol., 2025)

High-resolution UAV-based blueberry scorch virus mapping utilizing a deep vision transformer algorithm. - Ali Jamali; Bing Lu; Eric M. Gerbrandt; Carolyn Teasdale; Rishi R. Burlakoti; Siva Sabaratnam; Jonathon McIntyre; Lilian Yang; Margaret Schmidt; David McCaffrey; Pedram Ghamisi (Comput. Electron. Agric., 2025)

MSHCCT: A Multiscale Compact Convolutional Network for High-Resolution Aerial Scene Classification. - Ali Jamali; Swalpa Kumar Roy; Bing Lu; Leila Hashemi Beni; Nafiseh Kakhani; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2025)

Auto-Prompting SAM for Weakly Supervised Landslide Extraction. - Jian Wang; Xiaokang Zhang; Xianping Ma; Weikang Yu; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2025)

HyperPointFormer: Multimodal Fusion in 3-D Space With Dual-Branch Cross-Attention Transformers. - Aldino Rizaldy; Richard Gloaguen; Fabian Ewald Fassnacht; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

HSLabeling: Toward Efficient Labeling for Large-Scale Remote Sensing Image Segmentation With Hybrid Sparse Labeling. - Jiaxing Lin; Zhen Yang 026; Qiang Liu; Yinglong Yan; Pedram Ghamisi; Weiying Xie; Leyuan Fang (IEEE Trans. Image Process., 2025)

Change Captioning in Remote Sensing: Evolution to SAT-Cap - A Single-Stage Transformer Approach. - Yuduo Wang; Weikang Yu; Pedram Ghamisi (CoRR, 2025)

GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models. - Zhitong Xiong; Yi Wang 072; Weikang Yu; Adam J. Stewart; Jie Zhao 021; Nils Lehmann; Thomas Dujardin; Zhenghang Yuan; Pedram Ghamisi; Xiao Xiang Zhu 001 (CoRR, 2025)

FlexiMo: A Flexible Remote Sensing Foundation Model. - Xuyang Li; Chenyu Li 002; Pedram Ghamisi; Danfeng Hong (CoRR, 2025)

Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset. - Elias Arbash; Ahmed Jamal Afifi; Ymane Belahsen; Margret C. Fuchs; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (CoRR, 2025)

HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention Transformers. - Aldino Rizaldy; Richard Gloaguen; Fabian Ewald Fassnacht; Pedram Ghamisi (CoRR, 2025)

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals. - Pedram Ghamisi; Weikang Yu; Xiaokang Zhang; Aldino Rizaldy; Jian Wang; Chufeng Zhou; Richard Gloaguen; Gustau Camps-Valls (CoRR, 2025)

Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Shuyu Fei; Jun Zhou 001; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)

E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Chenkai Zhang; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)