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)

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)

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)

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)

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)

Hyperspectral Target Detection Based on Target-Constrained Interference-Minimized Band Selection. - Xiao-Di Shang; Meiping Song; Yulei Wang 002; Haoyang Yu 001; Chein-I Chang (IGARSS, 2020)

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

Underwater Hyperspectral Target Detection with Band Selection. - Xianping Fu; Xiao-Di Shang; Xudong Sun 009; Haoyang Yu 001; Meiping Song; Chein-I Chang (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)

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)

An Improved Hyperspectral Image Super Resolution Restoration Algorithm Based on POCS. - Yulei Wang 002; Xinxin He; Yao Shi; Qingyu Zhu; Haoyang Yu 001 (IGARSS, 2021)

Global Spatial and Local Spectral Similarity Based Sample Augment and Extended Subspace Projection for Hyperspectral Image Classification. - Xueji Shen; Haoyang Yu 001; Chunyan Yu; Yulei Wang 002; Meiping Song (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 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)

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)

Extended Subspace Projection Upon Sample Augmentation Based on Global Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification. - Jiaochan Hu; Xueji Shen; Haoyang Yu 001; Xiao-Di Shang; Qiandong Guo; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Unsupervised Domain Adaptation With Dense-Based Compaction for Hyperspectral Imagery. - Chunyan Yu; Caiyu Liu; Haoyang Yu 001; Meiping Song; Chein-I Chang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification. - Haoyang Yu 001; Xiao-Di Shang; Meiping Song; Jiaochan Hu; Tong Jiao; Qiandong Guo; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection. - Xiao-Di Shang; Meiping Song; Yulei Wang 002; Chunyan Yu; Haoyang Yu 001; Fang Li; Chein-I Chang (IEEE Trans. Geosci. Remote. Sens., 2021)

Contrastive Learning for Hyperspectral Target Detection. - Xi Chen 077; Yulei Wang 002; Zongwei Che; Liyu Zhu; Meiping Song; Haoyang Yu 001 (IGARSS, 2022)

Robust Linear Unmixing for Hyperspectral Remote Sensing Imagery Based on Enhanced Constraint of Classification. - Jinxue Chi; Xueji Shen; Haoyang Yu 001; Xiao-Di Shang; Jocelyn Chanussot; Yimin Shi (IGARSS, 2022)

Solar Panels Detection of High-Resolution Aerial Images Based on Improved Faster-RCNN. - Jiaochan Hu; Zhijia Wang; Xuran Pan; Pifu Cong; Haoyang Yu 001; Jiaping Chu (IGARSS, 2022)

Hyperspectral Image Classification Based on Multi-Level Spectral-Spatial Transformer Network. - Hao Yang; Haoyang Yu 001; Danfeng Hong; Zhen Xu; Yulei Wang 002; Meiping Song (WHISPERS, 2022)

Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery. - Haoyang Yu 001; Jinxue Chi; Xiao-Di Shang; Xueji Shen; Jocelyn Chanussot; Yimin Shi (IET Image Process., 2022)

Residual-Driven Band Selection for Hyperspectral Anomaly Detection. - Xiao-Di Shang; Meiping Song; Yulei Wang 002; Haoyang Yu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Dual-Channel Convolution Network With Image-Based Global Learning Framework for Hyperspectral Image Classification. - Haoyang Yu 001; Hao Zhang; Yao Liu 012; Ke Zheng; Zhen Xu; Chenchao Xiao (IEEE Geosci. Remote. Sens. Lett., 2022)

Editorial for Special Issue "Advances in Hyperspectral Data Exploitation". - Chein-I Chang; Meiping Song; Chunyan Yu; Yulei Wang 002; Haoyang Yu 001; Jiaojiao Li 001; Lin Wang 028; Hsiao-Chi Li; Xiaorun Li (Remote. Sens., 2022)

A Reconstructed Global Daily Seamless SIF Product at 0.05 Degree Resolution Based on TROPOMI, MODIS and ERA5 Data. - Jiaochan Hu; Jia Jia; Yan Ma; Liangyun Liu; Haoyang Yu 001 (Remote. Sens., 2022)

An Operational Land Surface Temperature Retrieval Methodology for Chinese Second-Generation Huanjing Disaster Monitoring Satellite Data. - Enyu Zhao; Caixia Gao; Qijin Han; Yuying Yao; Yulei Wang 002; Chunyan Yu; Haoyang Yu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

MSTNet: A Multilevel Spectral-Spatial Transformer Network for Hyperspectral Image Classification. - Haoyang Yu 001; Zhen Xu; Ke Zheng; Danfeng Hong; Hao Yang; Meiping Song (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)

Multiobjective Optimization-Based Hyperspectral Band Selection for Target Detection. - Meiping Song; Shihui Liu; Dayong Xu; Haoyang Yu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Hybrid Gray Wolf Optimizer for Hyperspectral Image Band Selection. - Yulei Wang 002; Qingyu Zhu; Haipeng Ma; Haoyang Yu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Cooperated Spectral Low-Rankness Prior and Deep Spatial Prior for HSI Unsupervised Denoising. - Qiang Zhang 011; Qiangqiang Yuan; Meiping Song; Haoyang Yu 001; Liangpei Zhang 001 (IEEE Trans. Image Process., 2022)

A Machine Learning Framework for High-Precision Retrieval of Offshore Sea Surface Temperature in the Eastern Liaodong Peninsula. - Jiaochan Hu; Tingting Tao; Jia Jia; Tong Zhao; Haoyang Yu 001 (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)

Hybrid Densely Connected Network for Multi-Exposure Image Fusion. - Hao Zeng; Yulei Wang 002; Haoyang Yu 001; Meiping Song; Enyu Zhao; Tingting Tao (IGARSS, 2023)

Model-Guided Coarse-to-Fine Fusion Network for Unsupervised Hyperspectral Image Super-Resolution. - Jiaxin Li; Ke Zheng; Wengu Liu; Zhi Li; Haoyang Yu 001; Li Ni (IEEE Geosci. Remote. Sens. Lett., 2023)

Hyperspectral Image Classification Based on Interactive Transformer and CNN With Multilevel Feature Fusion Network. - Hao Yang; Haoyang Yu 001; Ke Zheng; Jiaochan Hu; Tingting Tao; Qiang Zhang 011 (IEEE Geosci. Remote. Sens. Lett., 2023)

Combined Deep Priors With Low-Rank Tensor Factorization for Hyperspectral Image Restoration. - Qiang Zhang 011; Yushuai Dong; Qiangqiang Yuan; Meiping Song; Haoyang Yu 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Unsupervised Deep Adaptive Learning Spatial Reconstruction Network Based on Hyperspectral Data Fusion. - Haoyang Yu 001; Jinbei Zhao; Xueteng Wang; Zhixin Jiang; Yao Liu 012; Enyu Zhao; Chunyan Yu (IGARSS, 2024)

Center Category Focusing Transformer Network for Hyperspectral Image Classification. - Yuanchen Zhu; Chunyan Yu; Meiping Song; Yulei Wang 002; Enyu Zhao; Haoyang Yu 001; Qiang Zhang 011 (IGARSS, 2024)

A Spatially Downscaled TROPOMI SIF Product at 0.005° Resolution With Bias Correction. - Jiaochan Hu; Jia Jia; Zihan Ma 007; Keyu Yuan; Haoyang Yu 001; Liangyun Liu (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)

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)

Distillation-Constrained Prototype Representation Network for Hyperspectral Image Incremental Classification. - Chunyan Yu; Xiaowen Zhao; Baoyu Gong; Yabin Hu; Meiping Song; Haoyang Yu 001; Chein-I Chang (IEEE Trans. Geosci. Remote. Sens., 2024)

Three-Dimension Spatial-Spectral Attention Transformer for Hyperspectral Image Denoising. - Qiang Zhang 011; Yushuai Dong; Yaming Zheng; Haoyang Yu 001; Meiping Song; Lifu Zhang; Qiangqiang Yuan (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven. - Qiang Zhang 011; Yaming Zheng; Qiangqiang Yuan; Meiping Song; Haoyang Yu 001; Yi Xiao 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised Pretraining Framework Guided Hyperspectral and Multispectral Image Fusion. - Ke Zheng; Aiyu Chen; Haoyang Yu 001; Jiaxin Li; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Spectral-Spatial Collaborative Pretraining Framework With Multiconstraint Cooperation for Hyperspectral-Multispectral Image Fusion. - Jia Jia; Haoyang Yu 001; Chengjun Wang; Ke Zheng; Jiaxin Li; Jiaochan Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

V3IP Model: A Multiview Vegetation Information Perception Network for Wetland Mapping With Hyperspectral Imagery. - Chunyan Yu; Feihong Zhou; Chi Yu; Enyu Zhao; Yulei Wang 002; Yabin Hu; Haoyang Yu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)