Automated removal of ghost noise from SAR images using wavelet packet transform. - Bin Wang 008; Liming Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2003)

A New Scheme for Detection and Classification of Subpixel Spectral Signatures in Multispectral Data. - Hao Zhou; Bin Wang 008; Liming Zhang 001 (ISNN (2), 2004)

Blind decomposition of mixed pixels using constrained non-negative matrix factorization. - Bin Wang 008; Hao Zhou; Liming Zhang 001 (IGARSS, 2005)

A New Scheme for Fusion of Multispectral and Panchromatic Images Based on Residual Error. - Zhirong Ge; Bin Wang 008; Liming Zhang 001 (ISNN (2), 2005)

A New Scheme for Blind Decomposition of Mixed Pixels Based on Non-negative Matrix Factorization. - Hao Zhou; Bin Wang 008; Liming Zhang 001 (ISNN (2), 2005)

A new scheme for extraction of affine invariant descriptor and affine motion estimation based on independent component analysis. - Xuming Huang; Bin Wang 008; Liming Zhang 001 (Pattern Recognit. Lett., 2005)

Automatic Removal of Artifacts from EEG Data Using ICA and Exponential Analysis. - Ning-Yan Bian; Bin Wang 008; Yang Cao; Liming Zhang 001 (ISNN (2), 2006)

Multiple Signal Classification Based on Chaos Optimization Algorithm for MEG Sources Localization. - Jie-Ming Ma; Bin Wang 008; Yang Cao; Liming Zhang 001 (ISNN (2), 2006)

A New Approach to Decomposition of Mixed Pixels Based on Orthogonal Bases of Data Space. - Xuetao Tao; Bin Wang 008; Liming Zhang 001 (ICIC (1), 2007)

Decomposition of mixed pixels using Bayesian Self- Organizing Map (BSOM) neural networks. - Lifan Liu; Bin Wang 008; Liming Zhang 001; Jian Qiu Zhang 001 (IGARSS, 2007)

A new scheme for decomposition of mixed pixels based on nonnegative matrix factorization. - Xuetao Tao; Bin Wang 008; Liming Zhang 001; Jian Qiu Zhang 001 (IGARSS, 2007)

A new endmember extraction algorithm based on orthogonal bases of subspace formed by endmembers. - Xuetao Tao; Bin Wang 008; Liming Zhang 001; Jian Qiu Zhang 001 (IGARSS, 2007)

Hypercomplex principle component weighted approach to multiplespectral and panchromatic images Fusions. - Huijuan Yang; Jian Qiu Zhang 001; Bin Wang 008 (IGARSS, 2007)

Multiple Signal Classification Based on Genetic Algorithm for MEG Sources Localization. - Chenwei Jiang; Jie-Ming Ma; Bin Wang 008; Liming Zhang 001 (ISNN (2), 2007)

Remote sensing image fusion based on Bayesian linear estimation. - Zhirong Ge; Bin Wang 008; Liming Zhang 001 (Sci. China Ser. F Inf. Sci., 2007)

Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems. - Ying Yu; Bin Wang 008; Liming Zhang 001 (ICONIP (1), 2009)

A new approach based on orthogonal bases of data space to decomposition of mixed pixels for hyperspectral imagery. - Xuetao Tao; Bin Wang 008; Liming Zhang 001 (Sci. China Ser. F Inf. Sci., 2009)

Orthogonal Bases Approach for the Decomposition of Mixed Pixels in Hyperspectral Imagery. - Xuetao Tao; Bin Wang 008; Liming Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2009)

Decomposition of mixed pixels based on bayesian self-organizing map and Gaussian mixture model. - Lifan Liu; Bin Wang 008; Liming Zhang 001 (Pattern Recognit. Lett., 2009)

A novel approach for hyperspectral unmixing based on Nonnegative Matrix Factorization. - Xuesong Liu; Bin Wang 008; Liming Zhang 001 (IGARSS, 2010)

Constrained independent component analysis for hyperspectral unmixing. - Wei Xia; Bin Wang 008; Liming Zhang 001 (IGARSS, 2010)

New strategy for image and video quality assessment. - Qi Ma; Liming Zhang 001; Bin Wang 008 (J. Electronic Imaging, 2010)

A Novel Approach Based on Fisher Discriminant Null Space for Decomposition of Mixed Pixels in Hyperspectral Imagery. - Jing Jin; Bin Wang 008; Liming Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2010)

An approach based on self-organizing map and fuzzy membership for decomposition of mixed pixels in hyperspectral imagery. - Lifan Liu; Bin Wang 008; Liming Zhang 001 (Pattern Recognit. Lett., 2010)

Saliency-Based Compressive Sampling for Image Signals. - Ying Yu; Bin Wang 008; Liming Zhang 001 (IEEE Signal Process. Lett., 2010)

Airport Detection in Remote Sensing Images Based on Visual Attention. - Xin Wang; Bin Wang 008; Liming Zhang 001 (ICONIP (3), 2011)

Simplex volume analysis based on triangular factorization: A framework for hyperspectral unmixing. - Wei Xia; Bin Wang 008; Liming Zhang 001; Qiyong Lu (IGARSS, 2011)

Hebbian-based neural networks for bottom-up visual attention and its applications to ship detection in SAR images. - Ying Yu; Bin Wang 008; Liming Zhang 001 (Neurocomputing, 2011)

An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data. - Xuesong Liu; Wei Xia; Bin Wang 008; Liming Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2011)

Independent Component Analysis for Blind Unmixing of Hyperspectral Imagery With Additional Constraints. - Wei Xia; Xuesong Liu; Bin Wang 008; Liming Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2011)

Evaluation of Temperature Independent Spectral Indices of Emissivity in Land Surface Emissivity retrievals. - Geng-Ming Jiang; Bin Wang 008 (IGARSS, 2012)

An approach for fully constrained linear spectral unmixing based on distance geometry. - Hanye Pu; Wei Xia; Bin Wang 008; Liming Zhang 001; Geng-Ming Jiang (IGARSS, 2012)

Network topology analysis: A new method for band selection. - Wei Xia; Zhao Dong; Hanye Pu; Bin Wang 008; Liming Zhang 001 (IGARSS, 2012)

Abundance estimation for hyperspecrtral unmixing: A method based on distance geometry. - Hanye Pu; Wei Xia; Bin Wang 008; Liming Zhang 001 (WHISPERS, 2012)

A new network based feature-selection approach for hyperspcetral analysis. - Wei Xia; Hanye Pu; Zhao Dong; Bin Wang 008; Liming Zhang 001 (WHISPERS, 2012)

An approach for visual attention based on biquaternion and its application for ship detection in multispectral imagery. - Zhenghu Ding; Ying Yu; Bin Wang 008; Liming Zhang 001 (Neurocomputing, 2012)

Triangular Factorization-Based Simplex Algorithms for Hyperspectral Unmixing. - Wei Xia; Hanye Pu; Bin Wang 008; Liming Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2012)

Novel similarity measure-based nonlinear dimensionality reduction methods for hyperspectral imgery. - Hanye Pu; Bin Wang 008 (IGARSS, 2013)

A novel nonlinear unmixing scheme for hyperspectral images using the nonlinear least squares technique. - Hanye Pu; Bin Wang 008; Geng-Ming Jiang; Jian Qiu Zhang 001; Bo Hu 002; Dan Li 004 (IGARSS, 2013)

Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy. - Qi Lv; Bin Wang 008; Liming Zhang 001 (ISNN (1), 2013)

Band Selection for Hyperspectral Imagery: A New Approach Based on Complex Networks. - Wei Xia; Bin Wang 008; Liming Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2013)

Fusion of Hyperspectral and Multispectral Images: A Novel Framework Based on Generalization of Pan-Sharpening Methods. - Zhao Chen; Hanye Pu; Bin Wang 008; Geng-Ming Jiang (IEEE Geosci. Remote. Sens. Lett., 2014)

A Novel Spatial-Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery. - Hanye Pu; Zhao Chen; Bin Wang 008; Geng-Ming Jiang (IEEE Trans. Geosci. Remote. Sens., 2014)

A Fully Constrained Linear Spectral Unmixing Algorithm Based on Distance Geometry. - Hanye Pu; Wei Xia; Bin Wang 008; Geng-Ming Jiang (IEEE Trans. Geosci. Remote. Sens., 2014)

Change detection for hyperspectral images based on tensor analysis. - Zhao Chen; Bin Wang 008; Yubin Niu; Wei Xia; Jian Qiu Zhang 001; Bo Hu 002 (IGARSS, 2015)

Semisupervised hyperspectral image classification based on affinity scoring. - Zhao Chen; Bin Wang 008; Yubin Niu; Wei Xia; Jian Qiu Zhang 001; Bo Hu 002 (IGARSS, 2015)

Hyperspectral target detection: A new method based on learned dictionary. - Yubin Niu; Zhao Chen; Bin Wang 008; Wei Xia; Jian Qiu Zhang 001; Bo Hu 002 (IGARSS, 2015)

Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery With Affinity Scoring. - Zhao Chen; Bin Wang 008 (IEEE Geosci. Remote. Sens. Lett., 2015)

Airport Target Detection in Remote Sensing Images: A New Method Based on Two-Way Saliency. - Dan Zhu; Bin Wang 008; Liming Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2015)

Constrained Least Squares Algorithms for Nonlinear Unmixing of Hyperspectral Imagery. - Hanye Pu; Zhao Chen; Bin Wang 008; Wei Xia (IEEE Trans. Geosci. Remote. Sens., 2015)

Graph-based deep Convolutional networks for Hyperspectral image classification. - Jiayan Cao; Zhao Chen; Bin Wang 008 (IGARSS, 2016)

Deep Convolutional networks with superpixel segmentation for hyperspectral image classification. - Jiayan Cao; Zhao Chen; Bin Wang 008 (IGARSS, 2016)

Spectral-spatial classification for hyperspectral imagery: a novel combination method based on affinity scoring. - Zhao Chen; Bin Wang 008 (Sci. China Inf. Sci., 2016)

Hyperspectral Anomaly Detection Based on Low-Rank Representation and Learned Dictionary. - Yubin Niu; Bin Wang 008 (Remote. Sens., 2016)

Spectral-Spatial Classification Based on Affinity Scoring for Hyperspectral Imagery. - Zhao Chen; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Convergence acceleration of alternating least squares with a matrix polynomial predictive model for PARAFAC decomposition of a tensor. - Ming Shi 002; JianQiu Zhang 001; Bo Hu 002; Bin Wang 008; Qiyong Lu (EUSIPCO, 2017)

Traffic-aware transmission mode selection in D2D-enabled cellular networks with token system. - Yiling Yuan; Tao Yang 008; Hui Feng 001; Bo Hu 002; Jianqiu Zhang 001; Bin Wang 008; Qiyong Lu (EUSIPCO, 2017)

Learning Local Instance Constraint for Multi-label Classification. - Shang Luo; Xiaofeng Wu 003; Bin Wang 008; Liming Zhang 001 (ICIG (1), 2017)

Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition. - Zhao Chen; Bin Yang 012; Bin Wang 008; Guohua Liu; Wei Xia (IGARSS, 2017)

Bilinear mixture models based unsupervised nonlinear unmixing using constrained nonnegative matrix factorization. - Bin Yang 012; Bin Wang 008; Zongmin Wu; Qiyong Lu (IGARSS, 2017)

Abundance estimation for hyperspectral images based on bilinear mixture models. - Bin Yang 012; Bin Wang 008; Zongmin Wu; Qiyong Lu (IGARSS, 2017)

Nonnegative matrix factorization with constraints on endmember and abundance for hyperspectral unmixing. - Tongxiang Zhi; Bin Yang 012; Zhao Chen; Bin Wang 008 (IGARSS, 2017)

Scanpath estimation based on foveated image saliency. - Yixiu Wang; Bin Wang 008; Xiaofeng Wu 003; Liming Zhang 001 (Cogn. Process., 2017)

Embedding Learning on Spectral-Spatial Graph for Semisupervised Hyperspectral Image Classification. - Jiayan Cao; Bin Wang 008 (IEEE Geosci. Remote. Sens. Lett., 2017)

Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images. - Zhao Chen; Bin Wang 008 (Remote. Sens., 2017)

Constrained Nonnegative Matrix Factorization Based on Particle Swarm Optimization for Hyperspectral Unmixing. - Bin Yang 012; Wenfei Luo; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Extracting Target Spectrum for Hyperspectral Target Detection: An Adaptive Weighted Learning Method Using a Self-Completed Background Dictionary. - Yubin Niu; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2017)

Hyperspectral Target Detection: a Preprocessing Method Based on Tensor Principal Component Analysis. - Zehao Chen; Bin Yang 012; Bin Wang 008 (IGARSS, 2018)

Manifold Regularized Low-Rank Representation for Hyperspectral Anomaly Detection. - Tongkai Cheng; Bin Wang 008 (IGARSS, 2018)

Semi-Supervised Scene Classification for Remote Sensing Images Based on CNN and Ensemble Learning. - Xueyuan Dai; Xiaofeng Wu 003; Bin Wang 008; Liming Zhang 001 (IGARSS, 2018)

Nonlinear Hyperspectral Unmixing Via Modelling Band Dependent Nonlinearity. - Bin Yang 012; Bin Wang 008; Bo Hu 002; Jian Qiu Zhang 001 (IGARSS, 2018)

A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis. - Zehao Chen; Bin Yang 012; Bin Wang 008 (Remote. Sens., 2018)

Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization. - Bin Yang 012; Bin Wang 008; Zongmin Wu (Remote. Sens., 2018)

Band-Wise Nonlinear Unmixing for Hyperspectral Imagery Using an Extended Multilinear Mixing Model. - Bin Yang 012; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2018)

Nonlinear Hyperspectral Unmixing Based on Geometric Characteristics of Bilinear Mixture Models. - Bin Yang 012; Bin Wang 008; Zongmin Wu (IEEE Trans. Geosci. Remote. Sens., 2018)

Hyperspectral Anomaly Detection Based on Total Variation and Structured Dictionary. - Tongkai Cheng; Bin Wang 008 (IGARSS, 2019)

Deep Feature Extraction Based on Siamese Network and Auto-Encoder for Hyperspectral Image Classification. - Jiajia Miao; Bin Wang 008; Xiaofeng Wu 003; Liming Zhang 001; Bo Hu 002; Jian Qiu Zhang 001 (IGARSS, 2019)

Semi-Supervised Classification for Hyperspectral Images Using Edge-Conditioned Graph Convolutional Networks. - Anshu Sha; Bin Wang 008; Xiaofeng Wu 003; Liming Zhang 001; Bo Hu 002; Jian Qiu Zhang 001 (IGARSS, 2019)

Hyperspectral Target Detection Based on Tensor Sparse Representation. - Zehao Chen; Bin Wang 008 (IEEE Geosci. Remote. Sens. Lett., 2019)

Semisupervised Scene Classification for Remote Sensing Images: A Method Based on Convolutional Neural Networks and Ensemble Learning. - Xueyuan Dai; Xiaofeng Wu 003; Bin Wang 008; Liming Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-Based Simplex Growing and Fuzzy Assessment. - Bin Yang 012; Zhao Chen; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection. - Tongkai Cheng; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2020)

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification. - Yike Wu; Bo Zhang 069; Gang Yu 002; Weixi Zhang; Bin Wang 008; Tao Chen 003; Jiayuan Fan 001 (ACM Multimedia, 2021)

Nonlinear Anomaly Detection Based on Spectral-Spatial Composite Kernel for Hyperspectral Images. - Yenan Gao; Tongkai Cheng; Bin Wang 008 (IEEE Geosci. Remote. Sens. Lett., 2021)

Semisupervised Classification for Hyperspectral Images Using Graph Attention Networks. - Anshu Sha; Bin Wang 008; Xiaofeng Wu 003; Liming Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2021)

Domain adaptive detection system for concealed objects using millimeter wave images. - Bo Zhang 069; Bin Wang 008; Xiaofeng Wu 003; Liming Zhang 001; Minghui Yang; Xiaowei Sun (Neural Comput. Appl., 2021)

Scale-Aware Anchor-Free Object Detection via Curriculum Learning for Remote Sensing Images. - Wandi Cai; Bo Zhang 069; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Decomposition Model With Background Dictionary Learning for Hyperspectral Target Detection. - Tongkai Cheng; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Coarse-to-Fine Joint Distribution Alignment for Cross-Domain Hyperspectral Image Classification. - Jiajia Miao; Bo Zhang 069; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Total Variation and Sparsity Regularized Decomposition Model With Union Dictionary for Hyperspectral Anomaly Detection. - Tongkai Cheng; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2021)

Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model. - Minglei Li; Bin Yang 012; Bin Wang 008 (IGARSS, 2022)

Kernel-Based Decomposition Model with Total Variation and Sparsity Regularizations VIR Union Dictionary for Nonlinear Hyperspectral Anomaly Detection. - Ziyu Wu; Bin Yang 012; Bin Wang 008 (IGARSS, 2022)

Reweighted Kernel-Based Nonlinear Hyperspectral Unmixing With Regional ℓ₁-Norm Regularization. - Jiafeng Gu; Tongkai Cheng; Bin Wang 008 (IEEE Geosci. Remote. Sens. Lett., 2022)

Few-Shot Object Detection With Self-Adaptive Global Similarity and Two-Way Foreground Stimulator in Remote Sensing Images. - Yuchen Zhang; Bo Zhang 069; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Densely Semantic Enhancement for Domain Adaptive Region-Free Detectors. - Bo Zhang 069; Tao Chen 003; Bin Wang 008; Xiaofeng Wu 003; Liming Zhang 001; Jiayuan Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Kernel-Based Nonlinear Anomaly Detection via Union Dictionary for Hyperspectral Images. - Yenan Gao; Jiafeng Gu; Tongkai Cheng; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonlinear Unmixing for Hyperspectral Images via Kernel-Transformed Bilinear Mixing Models. - Jiafeng Gu; Bin Yang 012; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial Reweighted Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model. - Minglei Li; Bin Yang 012; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2022)

Kernel-Based Decomposition Model With Total Variation and Sparsity Regularizations via Union Dictionary for Nonlinear Hyperspectral Anomaly Detection. - Ziyu Wu; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2022)

Curriculum-Style Local-to-Global Adaptation for Cross-Domain Remote Sensing Image Segmentation. - Bo Zhang 069; Tao Chen 003; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2022)

Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning. - Bo Zhang 069; Hancheng Ye; Gang Yu 002; Bin Wang 008; Yike Wu; Jiayuan Fan 001; Tao Chen 003 (IEEE Trans. Image Process., 2022)

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection. - Bo Zhang 069; Tao Chen 003; Bin Wang 008; Ruoyao Li (IEEE Trans. Multim., 2022)

Oriented Object Detection Based on Foreground Feature Enhancement in Remote Sensing Images. - Peng Lin; Xiaofeng Wu 003; Bin Wang 008 (Remote. Sens., 2022)

When Hyperspectral Image Classification Meets Diffusion Models: An Unsupervised Feature Learning Framework. - Jingyi Zhou; Jiamu Sheng; Jiayuan Fan 001; Peng Ye 006; Tong He 001; Bin Wang 008; Tao Chen 003 (CoRR, 2023)

PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening. - Lu Hou; Bo Zhang 069; Bin Wang 008 (IEEE Geosci. Remote. Sens. Lett., 2023)

A Coarse-to-Fine Scheme for Unsupervised Nonlinear Hyperspectral Unmixing Based on an Extended Multilinear Mixing Model. - Minglei Li; Bin Yang 012; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2023)

Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs. - Hancheng Ye; Bo Zhang 069; Tao Chen 003; Jiayuan Fan 001; Bin Wang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Background Reconstruction via 3D-Transformer Network for Hyperspectral Anomaly Detection. - Ziyu Wu; Bin Wang 008 (Remote. Sens., 2023)

An Autoencoder Framework with Transformer Encoder and EMLM Embedded Decoder for Nonlinear Hyperspectral Anomaly Detection. - Ziyu Wu; Linwei Li; Bin Wang 008; Bo Hu 002 (IGARSS, 2024)

G-Former: A Grouping Transformer for Weakly Supervised Point Cloud Segmentation. - Zehan Huang; Fukun Yin; Jiayuan Fan 001; Xin Chen 040; Hongyuan Zhu; Bin Wang 008; Tao Chen 003 (IJCNN, 2024)

Hyperspectral Anomaly Detection via Merging Total Variation Into Low-Rank Representation. - Linwei Li; Ziyu Wu; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Progressive Feature Fusion Framework Based on Graph Convolutional Network for Remote Sensing Scene Classification. - Chongyang Zhang; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

PSD-SQ: Point Set Decoding Based on Semantic Query for Object Detection in Remote Sensing Images. - Shiyang Feng; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2024)

Joint Distribution Adaptive-Alignment for Cross-Domain Segmentation of High-Resolution Remote Sensing Images. - Haitao Huang; Baopu Li; Yuchen Zhang; Tao Chen 003; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2024)

EMLM-Net: An Extended Multilinear Mixing Model-Inspired Dual-Stream Network for Unsupervised Nonlinear Hyperspectral Unmixing. - Minglei Li; Bin Yang 012; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2024)

Transformer-Based Autoencoder Framework for Nonlinear Hyperspectral Anomaly Detection. - Ziyu Wu; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2024)

Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification. - Jingyi Zhou; Jiamu Sheng; Peng Ye 006; Jiayuan Fan 001; Tong He 001; Bin Wang 008; Tao Chen 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images. - Shiyang Feng; Zhaowei Li; Bo Zhang 069; Tao Chen 003; Bin Wang 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

DF2RQ: Dynamic Feature Fusion via Region-Wise Queries for Semantic Segmentation of Multimodal Remote Sensing Data. - Shiyang Feng; Zhaowei Li; Bo Zhang 069; Bin Wang 008 (IEEE Trans. Geosci. Remote. Sens., 2025)