Study on the spectral characteristics of building materials covered by different paint. - Lianru Gao; Bing Zhang 001; Xia Zhang; Junsheng Li (IGARSS, 2005)

Cross-calibration of EO-1 MODIS to SZ-3 CMODIS using Dunhuang test site. - Xuan Li; Zhifeng Guo; Lianru Gao (IGARSS, 2005)

Small satellite constellation for disaster monitoring in China. - Xingling Wang; Gang Wang; Yan Guan; Quan Chen; Lianru Gao (IGARSS, 2005)

A New Operational Method for Estimating Noise in Hyperspectral Images. - Lianru Gao; Bing Zhang 001; Xia Zhang; Wenjuan Zhang 003; Qingxi Tong (IEEE Geosci. Remote. Sens. Lett., 2008)

New Thoughts for Onboard Compression of Satellite Images. - Lianru Gao; Qiong Ran; Bing Zhang 001; Yaobin Chi; Zhiyong Wang (IGARSS (4), 2009)

Classification of Coastal Zone based on Decision Tree and PPI. - Shanshan Li 003; Bing Zhang 001; Lianru Gao; Liang Zhang (IGARSS (4), 2009)

Exposure Adjustment of Satellite Cameras. - Qiong Ran; Yaobin Chi; Zhiyong Wang; Lianru Gao (IGARSS (3), 2009)

A Study on Spectral Characteristics Extraction using Fourier Approximation Theory. - Xu Sun 005; Bing Zhang 001; Lianru Gao; Lina Yang (IGARSS (3), 2009)

Image Quality Evaluation on Chinese First Earth Observation Hyperspectral Satellite. - Bing Zhang 001; Zhengchao Chen; Junsheng Li; Lianru Gao (IGARSS (1), 2009)

A Polarimetric Sea Surface Backscattering Model. - Bing Zhang 001; Zhengchao Chen; Junsheng Li; Lianru Gao (IGARSS (1), 2009)

A maximum noise fraction transform with improved noise estimation for hyperspectral images. - Xiang Liu; Bing Zhang 001; Lianru Gao; Dongmei Chen (Sci. China Ser. F Inf. Sci., 2009)

Rapid detection of collapsed built-up structures using postevent VHR in earthquake-affected areas. - Liwei Li 001; Bing Zhang 001; Liping Lei; Lianru Gao; Dailiang Peng; Yanhong Wu; Jianwen Ma (IGARSS, 2011)

Study on the issue of noise estimation in dimension reduction of hyperspectral images. - Lianru Gao; Bing Zhang 001; Zhengchao Chen; Liping Lei (WHISPERS, 2011)

Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery. - Bing Zhang 001; Shanshan Li 003; Xiuping Jia; Lianru Gao; Man Peng (IEEE Geosci. Remote. Sens. Lett., 2011)

Endmember Extraction of Hyperspectral Remote Sensing Images Based on the Ant Colony Optimization (ACO) Algorithm. - Bing Zhang 001; Xun Sun; Lianru Gao; Lina Yang (IEEE Trans. Geosci. Remote. Sens., 2011)

Endmember Extraction of Hyperspectral Remote Sensing Images Based on the Discrete Particle Swarm Optimization Algorithm. - Bing Zhang 001; Xun Sun; Lianru Gao; Lina Yang (IEEE Trans. Geosci. Remote. Sens., 2011)

A comparative study on noise estimation for hyperspectral imagery. - Lianru Gao; Qian Du 001; Wei Yang 002; Bing Zhang 001 (WHISPERS, 2012)

GPU implementation of Ant Colony Optimization algorithm for endmember extraction from hyperspectral image. - Jianwei Gao; Lianru Gao; Xu Sun 005; Yuanfeng Wu; Bing Zhang 001 (WHISPERS, 2012)

Real-time target detection in hyperspectral images based on spatial-spectral information extraction. - Bing Zhang 001; Wei Yang 002; Lianru Gao; Dongmei Chen (EURASIP J. Adv. Signal Process., 2012)

Ant colony optimization for supervised and unsupervised hyperspectral band selection. - Jianwei Gao; Qian Du 001; Lianru Gao; Xu Sun 005; Yuanfeng Wu; Bing Zhang 001 (WHISPERS, 2013)

An improved Expectation Maximization algorithm for hyperspectral image classification. - Lina Zhuang; Lianru Gao; Li Ni; Bing Zhang 001 (WHISPERS, 2013)

Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data. - Lianru Gao; Bing Zhang 001; Xu Sun 005; Shanshan Li 003; Qian Du 001; Changshan Wu (EURASIP J. Adv. Signal Process., 2013)

Hyperspectral Imagery Clustering With Neighborhood Constraints. - Shanshan Li 003; Bing Zhang 001; An Li; Xiuping Jia; Lianru Gao; Man Peng (IEEE Geosci. Remote. Sens. Lett., 2013)

Improvements in the Ant Colony Optimization Algorithm for Endmember Extraction From Hyperspectral Images. - Bing Zhang 001; Jianwei Gao; Lianru Gao; Xu Sun 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

A Comparative Study on Linear Regression-Based Noise Estimation for Hyperspectral Imagery. - Lianru Gao; Qian Du 001; Bing Zhang 001; Wei Yang 002; Yuanfeng Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

The identification of altered rock in vegetation-covered area using hyperspectral remote sensing. - Qingting Li; Bing Zhang 001; Lianru Gao; Linlin Lu; Quanjun Jiao (IGARSS, 2014)

Edge constrained MRF method for classification of hyperspectral imagery. - Li Ni; Bing Zhang 001; Qian Shen 003; Lianru Gao; Xu Sun 005; Shanshan Li 003; Hua Wu 001 (WHISPERS, 2014)

Optical classification of optically complex waters around China. - Qian Shen 003; Li Ni; Xu Sun 005; Lianru Gao; Bing Zhang 001 (WHISPERS, 2014)

Analysis of the Proportion of Surface Reflected Radiance in Mid-Infrared Absorption Bands. - Bing Zhang 001; Yao Liu 012; Wenjuan Zhang 003; Lianru Gao; Jun Li 009; Jun Wang 131; Xia Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery. - Qiandong Guo; Bing Zhang 001; Qiong Ran; Lianru Gao; Jun Li 009; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model. - Bing Zhang 001; Lina Zhuang; Lianru Gao; Wenfei Luo; Qiong Ran; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2014)

FPGA implementation of a maximum volume algorithm for endmember extraction from hyperspectral imagery. - Cong Li; Lianru Gao; Antonio Plaza; Bing Zhang 001 (WHISPERS, 2015)

Requirements and optimization of sensor parameters for mineral extraction. - Qingting Li; Lianru Gao; Wenjuan Zhang 003; Bing Zhang 001 (WHISPERS, 2015)

An empirical study of urban mapping in a chain approach. - Liwei Li 001; Bing Zhang 001; Lianru Gao (WHISPERS, 2015)

Improvement of linear spectral emissivity constraint method for temperature and emissivity separation of hyperspectral thermal infrared data. - Li Ni; Hua Wu 001; Bing Zhang 001; Wenjuan Zhang 003; Lianru Gao (WHISPERS, 2015)

A hyperspectral image spectral unmixing method integrating slic superpixel segmentation. - Xu Sun 005; Feifei Zhang; Lina Yang; Bing Zhang 001; Lianru Gao (WHISPERS, 2015)

Swarm intelligence: A reliable solution for extracting endmembers from hyperspectral imagery. - Bing Zhang 001; Lianru Gao; Xu Sun 005; Lina Zhuang (WHISPERS, 2015)

Subspace-Based Support Vector Machines for Hyperspectral Image Classification. - Lianru Gao; Jun Li 009; Mahdi Khodadadzadeh; Antonio J. Plaza; Bing Zhang 001; Zhijian He; Huiming Yan (IEEE Geosci. Remote. Sens. Lett., 2015)

Adjusted Spectral Matched Filter for Target Detection in Hyperspectral Imagery. - Lianru Gao; Bin Yang 013; Qian Du 001; Bing Zhang 001 (Remote. Sens., 2015)

An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images. - Xu Sun 005; Lina Yang; Bing Zhang 001; Lianru Gao; Jianwei Gao (Remote. Sens., 2015)

Multiple Algorithm Integration Based on Ant Colony Optimization for Endmember Extraction From Hyperspectral Imagery. - Lianru Gao; Jianwei Gao; Jun Li 009; Antonio Plaza; Lina Zhuang; Xu Sun 005; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging. - Bin Yang 013; Minhua Yang; Antonio Plaza; Lianru Gao; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery. - Lina Zhuang; Bing Zhang 001; Lianru Gao; Jun Li 009; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A particle swarm optimization algorithm for unmixing the polynomial post-nonlinear mixing model. - Liang Zhong; Wenfei Luo; Lianru Gao (CISP-BMEI, 2016)

Particle swarm optimization for nonlinear spectral unmixing: A case study of generalized bilinear model. - Liang Zhong; Wenfei Luo; Lianru Gao (ICNC-FSKD, 2016)

A comparative study of coastline changes at Tampa Bay and Xiangshan Harbor during the last 30 years. - Qiandong Guo; Ruiliang Pu; Bing Zhang 001; Lianru Gao (IGARSS, 2016)

Spectral-spatial classification based on subspace support vector machine and Markov random field. - Haoyang Yu 001; Lianru Gao; Jun Li 009; Bing Zhang 001 (IGARSS, 2016)

An optimized method of kernel minimum noise fraction for dimensionality reduction of hyperspectral imagery. - Bin Zhao; Lianru Gao; Bing Zhang 001 (IGARSS, 2016)

GPU implementation of ant colony optimization-based band selections for hyperspectral data classification. - Jianwei Gao; Zhengchao Chen; Lianru Gao; Bing Zhang 001 (WHISPERS, 2016)

Improved discrete swarm intelligence algorithms for endmember extraction in hyperspectral remote sensing image. - Yuanchao Su; Xu Sun 005; Lianru Gao; Jun Li 009; Bing Zhang 001 (WHISPERS, 2016)

Region-Based Estimate of Endmember Variances for Hyperspectral Image Unmixing. - Lianru Gao; Lina Zhuang; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Orthogonal polynomial function fitting for hyperspectral data representation and discrimination. - Liwei Li 001; Bing Zhang 001; Wei Li 032; Lianru Gao (Pattern Recognit. Lett., 2016)

Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields. - Haoyang Yu 001; Lianru Gao; Jun Li 009; Shan Shan Li 003; Bing Zhang 001; Jón Atli Benediktsson (Remote. Sens., 2016)

A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm. - Lianru Gao; Lina Zhuang; Yuanfeng Wu; Xu Sun 005; Bing Zhang 001 (Soft Comput., 2016)

A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization. - Wenfei Luo; Lianru Gao; Antonio Plaza; Andrea Marinoni; Bin Yang 012; Liang Zhong; Paolo Gamba; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Approximate Computing of Remotely Sensed Data: SVM Hyperspectral Image Classification as a Case Study. - Yuanfeng Wu; Xinghua Yang; Antonio Plaza; Fei Qiao; Lianru Gao; Bing Zhang 001; Yabo Cui (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Fusion of multi-scale hyperspectral and lidar features for tree species mapping. - Wenzhi Liao; Frieke Van Coillie; Liwei Li 001; Bin Zhao; Lianru Gao; Wilfried Philips; Bing Zhang 001 (IGARSS, 2017)

Nonlinear hyperspectral unmixing based on normalized P-linear algorithm. - Maofeng Tang; Lianru Gao; Andrea Marinoni; Bing Zhang 001 (IGARSS, 2017)

Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 data. - Dan Yao; Lina Zhuang; Lianru Gao; Bing Zhang 001; José M. Bioucas-Dias (IGARSS, 2017)

A new kernel method for hyperspectral image feature extraction. - Bin Zhao; Lianru Gao; Wenzhi Liao; Bing Zhang 001 (Geo spatial Inf. Sci., 2017)

Locality Sensitive Discriminant Analysis for Group Sparse Representation-Based Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wei Li 032; Qian Du 001; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001; Aleksandra Pizurica; Wilfried Philips (IEEE Geosci. Remote. Sens. Lett., 2017)

A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping. - Lianru Gao; Dan Yao; Qingting Li; Lina Zhuang; Bing Zhang 001; José M. Bioucas-Dias (Remote. Sens., 2017)

Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification. - Lianru Gao; Bin Zhao; Xiuping Jia; Wenzhi Liao; Bing Zhang 001 (Remote. Sens., 2017)

CNN-based Large Scale Landsat Image Classification. - Xuemei Zhao; Lianru Gao; Zhengchao Chen; Bing Zhang 001; Wenzhi Liao (APSIPA, 2018)

Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery. - Xuran Pan; Lianru Gao; Bing Zhang 001; Fan Yang; Wenzhi Liao (BICS, 2018)

Ship Detection Without Sea-Land Segmentation for Large-Scale High-Resolution Optical Satellite Images. - Yiqun He; Xu Sun 005; Lianru Gao; Bing Zhang 001 (IGARSS, 2018)

Potential Analysis of Feature Extraction Based Quick Response for Environmental Change with Social Media Photos. - Yuanfeng Wu; Lianru Gao; Wenzhi Liao; Paolo Gamba; Bing Zhang 001 (IGARSS, 2018)

Global Spatial and Local Spectral Similarity-Based Group Sparse Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Paolo Gamba; Bing Zhang 001 (IGARSS, 2018)

Constraint Non-Negative Matrix Factorization With Sparseness and Piece wise Smoothness for Hyperspectral Unmixing. - Xu Sun 005; Qian Peng; Bing Zhang 001; Lianru Gao; Lina Yang (WHISPERS, 2018)

Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping. - Wenzhi Liao; Frieke Van Coillie; Lianru Gao; Liwei Li 001; Bing Zhang 001; Jocelyn Chanussot (IEEE Access, 2018)

Deep CNN With Multi-Scale Rotation Invariance Features for Ship Classification. - Qiaoqiao Shi; Wei Li 032; Fan Zhang 007; Wei Hu 004; Xu Sun 005; Lianru Gao (IEEE Access, 2018)

Special issue on advances in real-time image processing for remote sensing. - Chen Chen 001; Wei Li 032; Lianru Gao; Heng-Chao Li 001; Javier Plaza (J. Real Time Image Process., 2018)

A real-time unsupervised background extraction-based target detection method for hyperspectral imagery. - Cong Li; Lianru Gao; Yuanfeng Wu; Bing Zhang 001; Javier Plaza; Antonio Plaza (J. Real Time Image Process., 2018)

FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection. - Jingjing Wu; Yu Jin; Wei Li 032; Lianru Gao; Bing Zhang 001 (J. Real Time Image Process., 2018)

Multiharmonic Postnonlinear Mixing Model for Hyperspectral Nonlinear Unmixing. - Maofeng Tang; Bing Zhang 001; Andrea Marinoni; Lianru Gao; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2018)

An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images. - Jianhang Ma; Wenjuan Zhang 003; Andrea Marinoni; Lianru Gao; Bing Zhang 001 (Remote. Sens., 2018)

Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network. - Xuran Pan; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Fan Yang; Paolo Gamba (Remote. Sens., 2018)

High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network. - Xuran Pan; Lianru Gao; Bing Zhang 001; Fan Yang; Wenzhi Liao (Sensors, 2018)

Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001 (Sensors, 2018)

Integrating Spatial Information in the Normalized P-Linear Algorithm for Nonlinear Hyperspectral Unmixing. - Maofeng Tang; Lianru Gao; Andrea Marinoni; Paolo Gamba; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis. - Changyu Zhu; Jun Li 009; Shaoquan Zhang; Changshan Wu; Bing Zhang 001; Lianru Gao; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Multisource Remote Sensing Data Classification Based on Convolutional Neural Network. - Xiaodong Xu; Wei Li 032; Qiong Ran; Qian Du 001; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Morphological Analysis for Banana Disease Detection in Close Range Hyperspectral Remote Sensing Images. - Wenzhi Liao; Daniel Ochoa 001; Lianru Gao; Bing Zhang 001; Wilfried Philips (IGARSS, 2019)

Bilinear normal mixing model for spectral unmixing. - Wenfei Luo; Lianru Gao; Ruihao Zhang; Andrea Marinoni; Bing Zhang 001 (IET Image Process., 2019)

A nonlinear and explicit framework of supervised manifold-feature extraction for hyperspectral image classification. - Peng Zhang; Haixia He; Lianru Gao (Neurocomputing, 2019)

FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images. - Cong Li; Lianru Gao; Antonio Plaza; Bing Zhang 001 (J. Real Time Image Process., 2019)

Approximate computing for onboard anomaly detection from hyperspectral images. - Yuanfeng Wu; Sebastián López; Bing Zhang 001; Fei Qiao; Lianru Gao (J. Real Time Image Process., 2019)

An Entropy and MRF Model-Based CNN for Large-Scale Landsat Image Classification. - Xuemei Zhao; Lianru Gao; Zhengchao Chen; Bing Zhang 001; Wenzhi Liao; Xuan Yang (IEEE Geosci. Remote. Sens. Lett., 2019)

Separable-spectral convolution and inception network for hyperspectral image super-resolution. - Ke Zheng; Lianru Gao; Qiong Ran; Ximin Cui; Bing Zhang 001; Wenzhi Liao; Sen Jia 001 (Int. J. Mach. Learn. Cybern., 2019)

MSDH: Matched subspace detector with heterogeneous noise. - Xiaochen Yang; Lefei Zhang; Lianru Gao; Jing-Hao Xue (Pattern Recognit. Lett., 2019)

Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector. - Zhengchao Chen; Kaixuan Lu; Lianru Gao; Baipeng Li; Jianwei Gao; Xuan Yang; Mufeng Yao; Bing Zhang 001 (Remote. Sens., 2019)

Multiscale Spatial-Spectral Convolutional Network with Image-Based Framework for Hyperspectral Imagery Classification. - Ximin Cui; Ke Zheng; Lianru Gao; Bing Zhang 001; Dong Yang; Jinchang Ren (Remote. Sens., 2019)

Transferred Multi-Perception Attention Networks for Remote Sensing Image Super-Resolution. - Xiaoyu Dong; Zhihong Xi; Xu Sun 005; Lianru Gao (Remote. Sens., 2019)

Water Body Extraction from Very High Spatial Resolution Remote Sensing Data Based on Fully Convolutional Networks. - Liwei Li 001; Zhi Yan 003; Qian Shen 003; Gang Cheng; Lianru Gao; Bing Zhang 001 (Remote. Sens., 2019)

Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms. - Xuran Pan; Fan Yang; Lianru Gao; Zhengchao Chen; Bing Zhang 001; Hairui Fan; Jinchang Ren (Remote. Sens., 2019)

Ship Classification Based on Multifeature Ensemble with Convolutional Neural Network. - Qiaoqiao Shi; Wei Li 032; Ran Tao 003; Xu Sun 005; Lianru Gao (Remote. Sens., 2019)

Incorporating Negative Sample Training for Ship Detection Based on Deep Learning. - Lianru Gao; Yiqun He; Xu Sun 005; Xiuping Jia; Bing Zhang 001 (Sensors, 2019)

Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images. - Jianwei Gao; Yi Sun; Bing Zhang 001; Zhengchao Chen; Lianru Gao; Wenjuan Zhang 003 (Sensors, 2019)

A Background Refinement Collaborative Representation Method with Saliency Weight for Hyperspectral Anomaly Detection. - Zengfu Hou; Wei Li 032; Lianru Gao; Bing Zhang 001; Pengge Ma; Junling Sun (IGARSS, 2020)

Superpixel-Level Constraint Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Xiao Zhang 027; Meiping Song; Jiaochan Hu; Lianru Gao (IGARSS, 2020)

RARA: Dataflow Based Error Compensation Methods with Runtime Accuracy-Reconfigurable Adder. - Shujuan Yin; Zheyu Liu; Guihong Li; Fei Qiao; Qi Wei 001; Yuanfeng Wu; Lianru Gao; Xinjun Liu; Huazhong Yang (ISQED, 2020)

Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification. - Ying Qu 001; Razieh Kaviani Baghbaderani; Wei Li 032; Lianru Gao; Hairong Qi 001 (CoRR, 2020)

Combining t-Distributed Stochastic Neighbor Embedding With Convolutional Neural Networks for Hyperspectral Image Classification. - Lianru Gao; Daixin Gu; Lina Zhuang; Jinchang Ren; Dong Yang; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Subspace-based multitask learning framework for hyperspectral imagery classification. - Haoyang Yu 001; Lianru Gao; Jun Li 009; Bing Zhang 001 (Multim. Tools Appl., 2020)

Data-augmented matched subspace detector for hyperspectral subpixel target detection. - Xiaochen Yang; Mingzhi Dong; Ziyu Wang 003; Lianru Gao; Lefei Zhang; Jing-Hao Xue (Pattern Recognit., 2020)

Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning. - Yao Liu 012; Lianru Gao; Chenchao Xiao; Ying Qu 001; Ke Zheng; Andrea Marinoni (Remote. Sens., 2020)

A Novel Feature Extension Method for the Forest Disaster Monitoring Using Multispectral Data. - Yinghui Quan; Xian Zhong; Wei Feng 004; Gabriel Dauphin; Lianru Gao; Mengdao Xing (Remote. Sens., 2020)

Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. - Zhicheng Wang; Lina Zhuang; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Michael K. Ng 001 (Remote. Sens., 2020)

Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation. - Haoyang Yu 001; Xiao Zhang 027; Meiping Song; Jiaochan Hu; Qiandong Guo; Lianru Gao (Remote. Sens., 2020)

Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Xiao Zhang 027; Chunyan Yu; Lianru Gao; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN. - Mengmeng Zhang; Wei Li 032; Qian Du 001; Lianru Gao; Bing Zhang 001 (IEEE Trans. Cybern., 2020)

Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001; Lina Zhuang; Meiping Song; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2020)

Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy. - Lian Liu; Danfeng Hong; Lianru Gao (CIKM Workshops, 2021)

EvoNAS: Evolvable Neural Architecture Search for Hyperspectral Unmixing. - Zhu Han 002; Danfeng Hong; Lianru Gao; Jocelyn Chanussot; Bing Zhang 001 (IGARSS, 2021)

Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. - Danfeng Hong; Xin Wu 001; Jing Yao 002; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (IGARSS, 2021)

Ensemble CNN with Enhanced Feature Subspaces for Imbalanced Hyperspectral Image Classification. - Qinzhe Lv; Wei Feng 004; Yinghui Quan; Qiang Li 029; Gabriel Dauphin; Lianru Gao; Guoping Zhao; Mengdao Xing (IGARSS, 2021)

A Novel Classification Framework for Hyperspectral Image Classification Based on Multi-Scale Dense Network. - Hao Zhang; Haoyang Yu 001; Zhen Xu; Ke Zheng; Lianru Gao (IGARSS, 2021)

A Unified Multimodal Deep Learning Framework For Remote Sensing Imagery Classification. - Danfeng Hong; Lianru Gao; Xin Wu 001; Jing Yao 002; Naoto Yokoya; Bing Zhang 001 (WHISPERS, 2021)

Revisiting Graph Convolutional Networks with Mini-Batch Sampling for Hyperspectral Image Classification. - Danfeng Hong; Lianru Gao; Xin Wu 001; Jing Yao 002; Bing Zhang 001 (WHISPERS, 2021)

A Novel Classification Framework for Hyperspectral Image Classification Based on Multiscale Spectral-Spatial Convolutional Network. - Zhen Xu; Haoyang Yu 001; Ke Zheng; Lianru Gao; Meiping Song (WHISPERS, 2021)

Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images. - Yanheng Wang; Lianru Gao; Danfeng Hong; Jianjun Sha; Lian Liu; Bing Zhang 001; Xianhui Rong; Yonggang Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. - Danfeng Hong; Wei He 003; Naoto Yokoya; Jing Yao 002; Lianru Gao; Liangpei Zhang 001; Jocelyn Chanussot; Xiao Xiang Zhu 001 (CoRR, 2021)

Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data. - Wei Feng 004; Yinghui Quan; Gabriel Dauphin; Qiang Li 029; Lianru Gao; Wenjiang Huang; Junshi Xia; Wentao Zhu; Mengdao Xing (Inf. Sci., 2021)

Deep Half-Siamese Networks for Hyperspectral Unmixing. - Zhu Han 002; Danfeng Hong; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2021)

Hyperspectral Image Classification Based on Adjacent Constraint Representation. - Haoyang Yu 001; Xiao-Di Shang; Xiao Zhang 027; Lianru Gao; Meiping Song; Jiaochan Hu (IEEE Geosci. Remote. Sens. Lett., 2021)

Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China. - Xuemei Zhao; Danfeng Hong; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (Remote. Sens., 2021)

An Improved Aggregated-Mosaic Method for the Sparse Object Detection of Remote Sensing Imagery. - Boya Zhao; Yuanfeng Wu; Xinran Guan; Lianru Gao; Bing Zhang 001 (Remote. Sens., 2021)

A Pixel Cluster CNN and Spectral-Spatial Fusion Algorithm for Hyperspectral Image Classification With Small-Size Training Samples. - Shuxian Dong; Yinghui Quan; Wei Feng 004; Gabriel Dauphin; Lianru Gao; Mengdao Xing (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Enhanced-Random-Feature-Subspace-Based Ensemble CNN for the Imbalanced Hyperspectral Image Classification. - Qinzhe Lv; Wei Feng 004; Yinghui Quan; Gabriel Dauphin; Lianru Gao; Mengdao Xing (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks. - Xiaoyu Dong; Xu Sun 005; Xiuping Jia; Zhihong Xi; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks. - Xiaoyu Dong; Longguang Wang; Xu Sun 005; Xiuping Jia; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning. - Lianru Gao; Danfeng Hong; Jing Yao 002; Bing Zhang 001; Paolo Gamba; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification. - Hongmin Gao 001; Yao Yang; Chenming Li; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification. - Danfeng Hong; Lianru Gao; Naoto Yokoya; Jing Yao 002; Jocelyn Chanussot; Qian Du 001; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Graph Convolutional Networks for Hyperspectral Image Classification. - Danfeng Hong; Lianru Gao; Jing Yao 002; Bing Zhang 001; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Physically Constrained Transfer Learning Through Shared Abundance Space for Hyperspectral Image Classification. - Ying Qu 001; Razieh Kaviani Baghbaderani; Wei Li 032; Lianru Gao; Yuxiang Zhang 005; Hairong Qi 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Target Detection Through Tree-Structured Encoding for Hyperspectral Images. - Xiaotong Sun; Ying Qu 001; Lianru Gao; Xu Sun 005; Hairong Qi 001; Bing Zhang 001; Ting Shen (IEEE Trans. Geosci. Remote. Sens., 2021)

Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution. - Ke Zheng; Lianru Gao; Wenzhi Liao; Danfeng Hong; Bing Zhang 001; Ximin Cui; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Multimodal Hyperspectral Unmixing via Attention Networks. - Zhu Han 002; Danfeng Hong; Lianru Gao; Jing Yao 002; Bing Zhang 001; Jocelyn Chanussot (IGARSS, 2022)

Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification. - Jing Yao 002; Danfeng Hong; Lianru Gao; Jocelyn Chanussot (IGARSS, 2022)

Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images. - Yuanchao Su; Mengying Jiang; Lianru Gao; Xueer You; Xu Sun 005; Pengfei Li 010 (IGARSS, 2022)

Hyperspectral Sparse Unmixing Via Firm Thresholding Mapping. - Longfei Ren; Danfeng Hong; Xu Sun 005; Lianru Gao; Min Huang (WHISPERS, 2022)

Deep learning in multimodal remote sensing data fusion: A comprehensive review. - Jiaxin Li; Danfeng Hong; Lianru Gao; Jing Yao 002; Ke Zheng; Bing Zhang 001; Jocelyn Chanussot (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Transferable network with Siamese architecture for anomaly detection in hyperspectral images. - Weiqiang Rao; Ying Qu 001; Lianru Gao; Xu Sun 005; Yuanfeng Wu; Bing Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review. - Minghua Wang; Danfeng Hong; Zhu Han 002; Jiaxin Li; Jing Yao 002; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (CoRR, 2022)

Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing. - Zhu Han 002; Danfeng Hong; Lianru Gao; Swalpa Kumar Roy; Bing Zhang 001; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data. - Danfeng Hong; Lianru Gao; Renlong Hang; Bing Zhang 001; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery. - Danfeng Hong; Xin Wu 001; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion. - Jiaxin Li; Ke Zheng; Jing Yao 002; Lianru Gao; Danfeng Hong (IEEE Geosci. Remote. Sens. Lett., 2022)

Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification. - Yuanchao Su; Mengying Jiang; Lianru Gao; Xu Sun 005; Xueer You; Pengfei Li 010 (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Image Stripe Detection and Correction Using Gabor Filters and Subspace Representation. - Bing Zhang 001; Yashinov Aziz; Zhicheng Wang; Lina Zhuang; Michael K. Ng 001; Lianru Gao (IEEE Geosci. Remote. Sens. Lett., 2022)

Multilayer Cascade Screening Strategy for Semi-Supervised Change Detection in Hyperspectral Images. - Lian Liu; Danfeng Hong; Li Ni; Lianru Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Hyperspectral Image Denoising via Low-Rank Representation and CNN Denoiser. - Hezhi Sun; Ming Liu 014; Ke Zheng; Dong Yang; Jindong Li 003; Lianru Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm. - Shuo Wang; Wei Feng 004; Yinghui Quan; Wenxing Bao; Gabriel Dauphin; Lianru Gao; Xian Zhong; Mengdao Xing (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Progress and Challenges in Intelligent Remote Sensing Satellite Systems. - Bing Zhang 001; Yuanfeng Wu; Boya Zhao; Jocelyn Chanussot; Danfeng Hong; Jing Yao 002; Lianru Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing. - Zhu Han 002; Danfeng Hong; Lianru Gao; Bing Zhang 001; Min Huang; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Ensemble CNN Method Based on Sample Expansion for Hyperspectral Image Classification. - Shuxian Dong; Wei Feng 004; Yinghui Quan; Gabriel Dauphin; Lianru Gao; Mengdao Xing (IEEE Trans. Geosci. Remote. Sens., 2022)

CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders. - Lianru Gao; Zhu Han 002; Danfeng Hong; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. - Lianru Gao; Zhicheng Wang; Lina Zhuang; Haoyang Yu 001; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Multimodal Hyperspectral Unmixing: Insights From Attention Networks. - Zhu Han 002; Danfeng Hong; Lianru Gao; Jing Yao 002; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers. - Danfeng Hong; Zhu Han 002; Jing Yao 002; Lianru Gao; Bing Zhang 001; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Endmember Purification With Affine Simplicial Cone Model. - Wenfei Luo; Lianru Gao; Danfeng Hong; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Siamese Transformer Network for Hyperspectral Image Target Detection. - Weiqiang Rao; Lianru Gao; Ying Qu 001; Xu Sun 005; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Ensemble-Based Information Retrieval With Mass Estimation for Hyperspectral Target Detection. - Xiaotong Sun; Ying Qu 001; Lianru Gao; Xu Sun 005; Hairong Qi 001; Bing Zhang 001; Ting Shen (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial-Temporal Transformers for Hyperspectral Image Change Detection. - Yanheng Wang; Danfeng Hong; Jianjun Sha; Lianru Gao; Lian Liu; Yonggang Zhang 001; Xianhui Rong (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network. - Zhicheng Wang; Michael K. Ng 001; Lina Zhuang; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

NonRegSRNet: A Nonrigid Registration Hyperspectral Super-Resolution Network. - Ke Zheng; Lianru Gao; Danfeng Hong; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations. - Lina Zhuang; Lianru Gao; Bing Zhang 001; Xiyou Fu; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2022)

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. - Danfeng Hong; Lianru Gao; Jing Yao 002; Naoto Yokoya; Jocelyn Chanussot; Uta Heiden; Bing Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Interactive Autoencoders With Degradation Constraint For Hyperspectral Super-Resolution. - Jiaxin Li; Ke Zheng; Lianru Gao; Li Ni (IGARSS, 2023)

Unsupervised Dynamic Convolutional Neural Network Model for Hyperspectral and Multispectral Image Fusion. - Haoyang Yu 001; Zhixin Ling; Ke Zheng; Jiaxin Li; Siqi Liang; Lianru Gao (IGARSS, 2023)

A New Unsupervised Network for Hyperspectral and Multispectral Image Fusion. - Jiaxin Li; Ke Zheng; Li Ni; Lianru Gao (WHISPERS, 2023)

Hyperspectral Anomaly Detection Via Nonconvex Low-Rank Representation. - Longfei Ren; Minghua Wang; Xu Sun 005; Lianru Gao; Min Huang (WHISPERS, 2023)

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. - Haotian Zhang; Jing Yao 002; Li Ni; Lianru Gao; Min Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution. - Lianru Gao; Jiaxin Li; Ke Zheng; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Anomaly Detection Based on Chessboard Topology. - Lianru Gao; Xiaotong Sun; Xu Sun 005; Lina Zhuang; Qian Du 001; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection. - Lianru Gao; Degang Wang; Lina Zhuang; Xu Sun 005; Min Huang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution. - Jiaxin Li; Ke Zheng; Zhi Li 083; Lianru Gao; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties. - Longfei Ren; Danfeng Hong; Lianru Gao; Xu Sun 005; Min Huang; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Orthogonal Subspace Unmixing to Address Spectral Variability for Hyperspectral Image. - Longfei Ren; Danfeng Hong; Lianru Gao; Xu Sun 005; Min Huang; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification. - Yuanchao Su; Jiangyi Chen; Lianru Gao; Antonio Plaza; Mengying Jiang; Xiang Xu 002; Xu Sun 005; Pengfei Li 010 (IEEE Trans. Geosci. Remote. Sens., 2023)

Information Retrieval With Chessboard-Shaped Topology for Hyperspectral Target Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Semi-Supervised Domain Alignment Transformer for Hyperspectral Images Change Detection. - Yanheng Wang; Jianjun Sha; Lianru Gao; Yonggang Zhang 001; Xianhui Rong; Ce Zhang 005 (IEEE Trans. Geosci. Remote. Sens., 2023)

PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Min Huang; Antonio J. Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Min Huang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

HI2D2FNet: Hyperspectral Intrinsic Image Decomposition Guided Data Fusion Network for Hyperspectral and LiDAR Classification. - Wenbo Yu 001; Lianru Gao; He Huang 001; Yi Shen 001; Gangxiang Shen (IEEE Trans. Geosci. Remote. Sens., 2023)

A Lightweight Transformer Network for Hyperspectral Image Classification. - Xuming Zhang; Yuanchao Su; Lianru Gao; Lorenzo Bruzzone; Xingfa Gu; Qingjiu Tian (IEEE Trans. Geosci. Remote. Sens., 2023)

FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection. - Tianwei Zhang 005; Xu Sun 005; Lina Zhuang; Xiaoyu Dong; Lianru Gao; Bing Zhang 001; Ke Zheng (IEEE Trans. Geosci. Remote. Sens., 2023)

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. - Yuanchao Su; Lianru Gao; Mengying Jiang; Antonio Plaza; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Cybern., 2023)

Frequency-to-spectrum mapping GAN for semisupervised hyperspectral anomaly detection. - Degang Wang; Lianru Gao; Ying Qu 001; Xu Sun 005; Wenzhi Liao (CAAI Trans. Intell. Technol., 2023)

Tiny Object Detection Enhancement for Large-Scale Remote Sensing Imagery. - Tianwei Zhang 005; Lianru Gao; Xu Sun 005; Lina Zhuang (APSIPA, 2024)

Primary Modality Guided Multimodal Change Detection. - Luyang Cai; Shuyi Xu; He Sun 009; Xu Sun 005; Lina Yang; Lianru Gao (IGARSS, 2024)

DAMS: Dilated Attention with Multi-Stream Learning for Super-Resolution of Hyperspectral Remote Sensing Images. - Sheng Li; Ruoqing Xu; Yuanchao Su; Lianru Gao; Xu Sun 005; Longfei Ren; Zhiqing Zhu (IGARSS, 2024)

Hyperspectral Image Classification via Inverse Mahalanobis Attention Network. - Zhi Li 083; Ke Zheng; Longfei Ren; Yi Liu; Lianru Gao (IGARSS, 2024)

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Yi Liu; Yao Liu 012; Bing Zhang 001 (IGARSS, 2024)

Adaptive Endmembers Learning-Based Deep Unmixing Network for Hyperspectral Change Detection. - Shuyi Xu; Luyang Cai; He Sun 009; Xu Sun 005; Lina Yang; Lianru Gao (IGARSS, 2024)

MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution. - Jin Xu; Yuanchao Su; Lianru Gao; Xu Sun 005; Longfei Ren; Zhiqing Zhu; Mengying Jiang (IGARSS, 2024)

SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change Detection. - Yanheng Wang; Xiaohan Yu 001; Yongsheng Gao 001; Jianjun Sha; Jian Wang; Lianru Gao; Yonggang Zhang 001; Xianhui Rong (CoRR, 2024)

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment. - Hongqi Zhang; He Sun 009; Hongmin Gao 001; Feng Han; Xu Sun 005; Lianru Gao; Bing Zhang 001 (CoRR, 2024)

GRetNet: Gaussian Retentive Network for Hyperspectral Image Classification. - Zhu Han 002; Shuyi Xu; Lianru Gao; Zhi Li 083; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Cross-Modal Feature Fusion and Interaction Strategy for CNN-Transformer-Based Object Detection in Visual and Infrared Remote Sensing Imagery. - Jinyan Nie; He Sun 009; Xu Sun 005; Li Ni; Lianru Gao (IEEE Geosci. Remote. Sens. Lett., 2024)

Global Feature-Injected Blind-Spot Network for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Xiaobin Zhao (IEEE Geosci. Remote. Sens. Lett., 2024)

Shape-Sensitive Feature Extraction for Large-Aspect-Ratio Object Detection. - Tianwei Zhang 005; Xu Sun 005; Lina Zhuang; Lianru Gao; Bing Zhang 001; Ke Zheng (IEEE Geosci. Remote. Sens. Lett., 2024)

Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective. - Minghua Wang; Lianru Gao; Longfei Ren; Xian Sun; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Fast Target Detection Model for Remote Sensing Images Leveraging Roofline Analysis on Edge Computing Devices. - Boya Zhao; Zihan Qin; Yuanfeng Wu; Yuhang Song; Haoyang Yu 001; Lianru Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification. - Zhu Han 002; Jin Yang; Lianru Gao; Zhiqiang Zeng; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification. - Zhu Han 002; Ce Zhang 005; Lianru Gao; Zhiqiang Zeng; Michael K. Ng 001; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. - Mengying Jiang; Yuanchao Su; Lianru Gao; Antonio Plaza; Xi-Le Zhao; Xu Sun 005; Guizhong Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolution. - Jiaxin Li; Ke Zheng; Lianru Gao; Li Ni; Min Huang; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross-Semantic Heterogeneous Modeling Network for Hyperspectral Image Classification. - Zhi Li 083; Ke Zheng; Jiaxin Li; Chengrui Li; Lianru Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

HADGSM: A Unified Nonconvex Framework for Hyperspectral Anomaly Detection. - Longfei Ren; Lianru Gao; Minghua Wang; Xu Sun 005; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing. - Yuanchao Su; Zhiqing Zhu; Lianru Gao; Antonio Plaza; Pengfei Li 010; Xu Sun 005; Xiang Xu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperbolic Space-Based Autoencoder for Hyperspectral Anomaly Detection. - He Sun 009; Lizhi Wang 001; Lei Zhang 021; Lianru Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Xiaobin Zhao; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Hyperspectral and Multispectral Image Fusion With Deep Spectral-Spatial Collaborative Constraint. - Haoyang Yu 001; Zhixin Ling; Ke Zheng; Lianru Gao; Jiaxin Li; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Change Detection Based on Gated Spectral-Spatial-Temporal Attention Network With Spectral Similarity Filtering. - Haoyang Yu 001; Hao Yang; Lianru Gao; Jiaochan Hu; Antonio Plaza; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Non-Local Similarity-Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution. - Wenjuan Zhang 003; Ruiqi Sun; Zhen Li 017; Lianru Gao; Jiaxin Li; Bin Zhao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral-Spatial Out-of-Distribution-Based Unsupervised Band Selection Method for Hyperspectral Anomaly Detection. - Hongqi Zhang; He Sun 009; Xu Sun 005; Hongmin Gao 001; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising. - Lina Zhuang; Michael Ng 001; Lianru Gao; Zhicheng Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

PID-HLfusion: Pluggable Progressive Illumination Driven Hyperspectral and LiDAR Data Fusion Considering Crossmodal Geometric Structures. - Wenbo Yu 001; Lianru Gao; He Huang 001; Yi Shen 001; Gangxiang Shen (IEEE Trans. Instrum. Meas., 2024)

Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising. - Lina Zhuang; Michael Ng 001; Lianru Gao; Joseph Michalski; Zhicheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Parameter-Free Topological Disassembly-Guided Method for Hyperspectral Target Detection. - Xiaotong Sun; Liming Jiang 002; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Nonlocal and Local Feature-Coupled Self-Supervised Network for Hyperspectral Anomaly Detection. - Degang Wang; Longfei Ren; Xu Sun 005; Lianru Gao; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Building Extraction From High-Resolution Multispectral and SAR Images Using a Boundary-Link Multimodal Fusion Network. - Zhe Zhao; Boya Zhao; Yuanfeng Wu; Zutian He; Lianru Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Subpixel Spectral Variability Network for Hyperspectral Image Classification. - Zhu Han 002; Jin Yang; Lianru Gao; Zhiqiang Zeng; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2025)

Enhanced Deep Image Prior for Unsupervised Hyperspectral Image Super-Resolution. - Jiaxin Li; Ke Zheng; Lianru Gao; Zhu Han 002; Zhi Li 083; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2025)

Feature Reconstruction Guided Fusion Network for Hyperspectral and LiDAR Classification. - Zhi Li 083; Ke Zheng; Lianru Gao; Nannan Zi; Chengrui Li (IEEE Trans. Geosci. Remote. Sens., 2025)

Nonlocal and Deep Priors for Hyperspectral Anomaly Detection. - Longfei Ren; Degang Wang; Lianru Gao; Minghua Wang; Min Huang (IEEE Trans. Geosci. Remote. Sens., 2025)

Towards Automatic Evaluation and High-Quality Pseudo-Parallel Dataset Construction for Audio Editing: A Human-in-the-Loop Method. - Yuhang Jia; Hui Wang; Xin Nie; Yujie Guo; Lianru Gao; Yong Qin (CoRR, 2025)