Hyperspectral image denoising using 3D wavelets. - Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson; Jón Atli Benediktsson (IGARSS, 2012)

Hyperspectral image denoising using a new linear model and Sparse Regularization. - Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson; Jón Atli Benediktsson (IGARSS, 2013)

First order roughness penalty for hyperspectral image denoising. - Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson; Jakob Sigurdsson (WHISPERS, 2013)

Wavelet based sparse Principal Component Analysis for hyperspectral denoising. - Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson; Jakob Sigurdsson (WHISPERS, 2013)

Total variation based hyperspectral feature extraction. - Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson (IGARSS, 2014)

Sure based model selection for hyperspectral imaging. - Behnood Rasti; Magnus O. Ulfarsson; Johannes R. Sveinsson (IGARSS, 2014)

Hyperspectral Image Denoising Using First Order Spectral Roughness Penalty in Wavelet Domain. - Behnood Rasti; Johannes R. Sveinsson; Magnus Orn Ulfarsson; Jón Atli Benediktsson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration. - Behnood Rasti; Johannes R. Sveinsson; Magnus O. Ulfarsson (IEEE Trans. Geosci. Remote. Sens., 2014)

Hyperspectral Subspace Identification Using SURE. - Behnood Rasti; Magnus O. Ulfarsson; Johannes R. Sveinsson (IEEE Geosci. Remote. Sens. Lett., 2015)

Hyperspectral Feature Extraction Using Total Variation Component Analysis. - Behnood Rasti; Magnus Orn Ulfarsson; Johannes R. Sveinsson (IEEE Trans. Geosci. Remote. Sens., 2016)

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

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

Label Noise Robust Classification Of Hyperspectral Data. - Alina E. Maas; Behnood Rasti; Magnus O. Ulfarsson (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)

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

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

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

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

Multisensor Composite Kernels Based on Extreme Learning Machines. - Pedram Ghamisi; Behnood Rasti; Jón Atli Benediktsson (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)

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)

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)

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

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

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

Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones. - Behnood Rasti; 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)

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)

EMFNet: Enhanced Multisource Fusion Network for Land Cover Classification. - Chengxiang Li; Renlong Hang; Behnood Rasti (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

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

Sparse Unmixing using Deep Convolutional Networks. - Behnood Rasti; Bikram Koirala; Paul Scheunders (IGARSS, 2022)

Deep Blind Unmixing using Minimum Simplex Convolutional Network. - Behnood Rasti; Bikram Koirala; Paul Scheunders; Jocelyn Chanussot (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)

Blind Nonlinear Unmixing For Intimate Mixtures Using Hapke Model And CNN. - Behnood Rasti; Bikram Koirala (WHISPERS, 2022)

Deep Hyperspectral Unmixing using Transformer Network. - Preetam Ghosh; Swalpa Kumar Roy; Bikram Koirala; Behnood Rasti; Paul Scheunders (CoRR, 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)

SUnCNN: Sparse Unmixing Using Unsupervised Convolutional Neural Network. - Behnood Rasti; Bikram Koirala (IEEE Geosci. Remote. Sens. Lett., 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)

Hyperspectral Unmixing Using Transformer Network. - Preetam Ghosh; Swalpa Kumar Roy; Bikram Koirala; Behnood Rasti; Paul Scheunders (IEEE Trans. Geosci. Remote. Sens., 2022)

HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network. - Behnood Rasti; Bikram Koirala; Paul Scheunders (IEEE Trans. Geosci. Remote. Sens., 2022)

MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing. - Behnood Rasti; Bikram Koirala; Paul Scheunders; Jocelyn Chanussot (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)

An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders. - Bikram Koirala; Behnood Rasti; Zakaria Bnoulkacem; Andréa de Lima Ribeiro; Yuleika Madriz; Erik Herrmann; Arthur Gestels; Thomas De Kerf; Koen Janssens; Gunther Steenackers; Richard Gloaguen; Paul Scheunders (IGARSS, 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)

Hysupp: An Open-Source Hyperspectral Unmixing Python Package. - Behnood Rasti; Alexandre Zouaoui; Julien Mairal; Jocelyn Chanussot (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)

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)

Unmixing Intimate Mixtures Using Bézier Surfaces. - Bikram Koirala; Behnood Rasti; Zakaria Bnoulkacem; Paul Scheunders (WHISPERS, 2023)

FaSUn: Fast Semi-Supervised Unmixing Using Alternating Direction Method of Multipliers. - Behnood Rasti (WHISPERS, 2023)

A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures. - Bikram Koirala; Behnood Rasti; Zakaria Bnoulkacem; Andréa de Lima Ribeiro; Yuleika Madriz; Erik Herrmann; Arthur Gestels; Thomas De Kerf; Sandra Lorenz; Margret C. Fuchs; Koen Janssens; Gunther Steenackers; et al. (CoRR, 2023)

SUnAA: Sparse Unmixing Using Archetypal Analysis. - Behnood Rasti; Alexandre Zouaoui; Julien Mairal; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2023)

Multimodal Fusion Transformer for Remote Sensing Image Classification. - Swalpa Kumar Roy; Ankur Deria; Danfeng Hong; Behnood Rasti; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. - Alexandre Zouaoui; Gedeon Muhawenayo; Behnood Rasti; Jocelyn Chanussot; Julien Mairal (IEEE Trans. Image Process., 2023)

Heterogeneous/Homogeneous Change Detection dataset. - David Alejandro Jimenez Sierra; Hernán Darío Benítez-Restrepo; Juan Felipe Florez-Ospina; Behnood Rasti; Jocelyn Chanussot (Zenodo, 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)

Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images. - Martin Hermann Paul Fuchs; Akshara Preethy Byju; Alisa Walda; Behnood Rasti; Begüm Demir (WHISPERS, 2024)

HyCoT: A Transformer-Based Autoencoder for Hyperspectral Image Compression. - Martin Hermann Paul Fuchs; Behnood Rasti; Begüm Demir (WHISPERS, 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)

Fast Semi-supervised Unmixing using Non-convex Optimization. - Behnood Rasti; Alexandre Zouaoui; Julien Mairal; Jocelyn Chanussot (CoRR, 2024)

HyCoT: Hyperspectral Compression Transformer with an Efficient Training Strategy. - Martin Hermann Paul Fuchs; Behnood Rasti; Begüm Demir (CoRR, 2024)

A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures. - Bikram Koirala; Behnood Rasti; Paul Scheunders (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Nonlinear Spectral Unmixing Using Bézier Surfaces. - Bikram Koirala; Behnood Rasti; Zakaria Bnoulkacem; Paul Scheunders (IEEE Trans. Geosci. Remote. Sens., 2024)

Channel-Layer-Oriented Lightweight Spectral-Spatial Network for Hyperspectral Image Classification. - Chunchao Li; Behnood Rasti; Xuebin Tang; Puhong Duan; Jun Li 094; Yuanxi Peng (IEEE Trans. Geosci. Remote. Sens., 2024)

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. - Behnood Rasti; Alexandre Zouaoui; Julien Mairal; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

Fast Semisupervised Unmixing Using Nonconvex Optimization. - Behnood Rasti; Alexandre Zouaoui; Julien Mairal; Jocelyn Chanussot (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)

Continual Self-Supervised Learning With Masked Autoencoders in Remote Sensing. - Lars Möllenbrok; Behnood Rasti; Begüm Demir (IEEE Geosci. Remote. Sens. Lett., 2025)

Low-Latency Neural Network for Efficient Hyperspectral Image Classification. - Chunchao Li; Jun Li 094; Mingrui Peng; Behnood Rasti; Puhong Duan; Xuebin Tang; Xiaoguang Ma (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Spectral-Spatial Attention Network for Hyperspectral Unmixing. - Xuanwen Tao; Bikram Koirala; Behnood Rasti; Antonio Plaza; Paul Scheunders (IEEE Trans. Geosci. Remote. Sens., 2025)

Adjustable Spatio-Spectral Hyperspectral Image Compression Network. - Martin Hermann Paul Fuchs; Behnood Rasti; Begüm Demir (CoRR, 2025)