A spatial filter based framework for target detection in hyperspectral imagery. - Yuxiang Zhang 001; Bo Du 001; Liangpei Zhang 001 (WHISPERS, 2013)

Regularization Framework for Target Detection in Hyperspectral Imagery. - Yuxiang Zhang 001; Bo Du 001; Liangpei Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2014)

SISTOR: A statistics-inspired sparsity target detector for hyperspectral images. - Yuxiang Zhang 001; Bo Du 001; Liangpei Zhang 001 (IGARSS, 2015)

一种基于背景自学习的高光谱图像生物信息提取方法 (Background Self-learning Framework for Bio Information Extraction from Hyperspectral Images). - Yuxiang Zhang 001; Xuyang Gao; Ting Wang; Lefei Zhang; Bo Du 001 (计算机科学, 2015)

A hypothesis independent subpixel target detector for hyperspectral Images. - Bo Du 001; Yuxiang Zhang 001; Liangpei Zhang 001; Lefei Zhang (Signal Process., 2015)

A Nonlinear Sparse Representation-Based Binary Hypothesis Model for Hyperspectral Target Detection. - Yuxiang Zhang 001; Liangpei Zhang 001; Bo Du 001; Shugen Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images. - Yuxiang Zhang 001; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2015)

A quantum-behaved particle swarm optimization for hyperspectral endmember extraction. - Mingming Xu; Liangpei Zhang 001; Bo Du 001; Lefei Zhang; Yuxiang Zhang 001 (IGARSS, 2016)

A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection. - Yuxiang Zhang 001; Bo Du 001; Liangpei Zhang 001; Shugen Wang (IEEE Trans. Geosci. Remote. Sens., 2016)

Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images. - Bo Du 001; Yuxiang Zhang 001; Liangpei Zhang 001; Dacheng Tao (IEEE Trans. Image Process., 2016)

Spatially Adaptive Sparse Representation for Target Detection in Hyperspectral Images. - Yiming Zhang 027; Bo Du 001; Yuxiang Zhang 001; Liangpei Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. - Yuxiang Zhang 001; Ke Wu 004; Bo Du 001; Xiangyun Hu (IEEE Geosci. Remote. Sens. Lett., 2017)

Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information. - Yuxiang Zhang 001; Ke Wu 004; Bo Du 001; Liangpei Zhang 001; Xiangyun Hu (Remote. Sens., 2017)

Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. - Yuxiang Zhang 001; Bo Du 001; Liangpei Zhang 001; Tongliang Liu (IEEE Trans. Geosci. Remote. Sens., 2017)

Hyperspectral Band Selection Based on Endmember Dissimilarity for Hyperspectral Unmixing. - Mingming Xu; Yuxiang Zhang 001; Jie Li 022; Jiayi Li; Dongmei Song; Yanguo Fan; Ning Sun (IGARSS, 2018)

Multi-Priori Learning Algorithm for Hyperspectral Target Detection. - Yuxiang Zhang 001; Mingming Xu; Bo Du 001; Ke Wu 004; Xiangyun Hu; Yanni Dong (IGARSS, 2018)

A Novel Endmember Extraction Method Using Sparse Component Analysis for Hyperspectral Remote Sensing Imagery. - Ke Wu 004; Xiaoxiao Feng; Honggen Xu; Yuxiang Zhang 001 (IEEE Access, 2018)

Hyperspectral image target detection via integrated background suppression with adaptive weight selection. - Ke Wu 004; Guang Xu; Yuxiang Zhang 001; Bo Du 001 (Neurocomputing, 2018)

A Kernel Background Purification Based Anomaly Target Detection Algorithm for Hyperspectral Imagery. - Yan Zhang 068; Mingming Xu; Yanguo Fan; Yuxiang Zhang 001; Yanni Dong (IGARSS, 2019)

Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection. - Yuxiang Zhang 001; Ke Wu 004; Bo Du 001; Xiangyun Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Joint Sparse Representation and Multitask Learning for Hyperspectral Anomaly Detection. - Yuxiang Zhang 001; Kai He; Yanni Dong; Ke Wu 004; Tao Chen 004 (IGARSS, 2020)

Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image. - Yuxiang Zhang 001; Kang Liu; Yanni Dong; Ke Wu 004; Xiangyun Hu (IEEE Geosci. Remote. Sens. Lett., 2020)

Deep Metric Learning with Online Hard Mining for Hyperspectral Classification. - Yanni Dong; Cong Yang; Yuxiang Zhang 001 (Remote. Sens., 2021)

Hyperspectral Anomaly Detection With Otsu-Based Isolation Forest. - Yuxiang Zhang 001; Yanni Dong; Ke Wu 004; Tao Chen 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Spectral-Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification. - Yanni Dong; Tianyang Liang; Yuxiang Zhang 001; Bo Du 001 (IEEE Trans. Cybern., 2021)

Joint Distance Transfer Metric Learning for Remote-Sensing Image Classification. - Yanni Dong; Tianyang Liang; Cong Yang; Hui Luo 012; Yuxiang Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images. - Tao Chen 004; Zhiyuan Lu; Yue Yang; Yuxiang Zhang 001; Bo Du 001; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Symmetric Information-Theoretic Metric Learning for Target Detection in Hyperspectral Imagery. - Yanni Dong; Yuxiang Zhang 001; Bo Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing. - Tao Chen 004; Yang Liu; Yuxiang Zhang 001; Bo Du 001; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2022)

SSMD: Dimensionality Reduction and Classification of Hyperspectral Images Based on Spatial-Spectral Manifold Distance Metric Learning. - Yao Jin; Yanni Dong; Yuxiang Zhang 001; Xiangyun Hu (IEEE Trans. Geosci. Remote. Sens., 2022)

A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification. - Quanwei Liu; Yanni Dong; Yuxiang Zhang 001; Hui Luo 012 (IEEE Trans. Geosci. Remote. Sens., 2022)

Adapting Vision Transformer for Efficient Change Detection. - Yang Zhao; Yuxiang Zhang 001; Yanni Dong; Bo Du 001 (CoRR, 2023)

Multiview Learning for Impervious Surface Mapping Using High-Resolution Multispectral Imagery and LiDAR Data. - Hui Luo 012; Fupeng Yang; Xibo Feng; Yanni Dong; Yuxiang Zhang 001; Geyong Min; Jianxin Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

A Lightweight Convolutional Neural Network Based on Joint Correlation Distance Constraints and Density Peak Clustering for Hyperspectral Target Detection. - Yanni Dong; Xiuqing Dai; Yuxiang Zhang 001; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Siamese Network Based on Multiple Attention and Multilayer Transformers for Change Detection. - Wenjie Tang; Ke Wu 004; Yuxiang Zhang 001; Yanting Zhan (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection. - Yuxiang Zhang 001; Yang Zhao; Yanni Dong; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder. - Hao Chen 011; Tao Chen 004; Yuxiang Zhang 001; Bo Du 001; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Multiorder Graph Convolutional Network With Channel Attention for Hyperspectral Change Detection. - Yuxiang Zhang 001; Rui Miao 005; Yanni Dong; Bo Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Unsupervised Multiview Graph Contrastive Feature Learning for Hyperspectral Image Classification. - Yuan Chang; Quanwei Liu; Yuxiang Zhang 001; Yanni Dong (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial-Spectral Contrastive Self-Supervised Learning With Dual Path Networks for Hyperspectral Target Detection. - Xi Chen; Yuxiang Zhang 001; Yanni Dong; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Generative Self-Supervised Learning With Spectral-Spatial Masking for Hyperspectral Target Detection. - Xi Chen; Yuxiang Zhang 001; Yanni Dong; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Dynamic Token Augmentation Mamba for Cross-Scene Classification of Hyperspectral Image. - Xizeng Huang; Yuxiang Zhang 001; Fulin Luo; Yanni Dong (IEEE Trans. Geosci. Remote. Sens., 2024)

Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection. - Chang Liu; Yanni Dong; Yuxiang Zhang 001; Xue Li 022 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multimodal Feature Fusion Network for Building Extraction With Very High-Resolution Remote Sensing Image and LiDAR Data. - Hui Luo 012; Xibo Feng; Bo Du 001; Yuxiang Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross-Task Meta-Learning Network With Graph-Enhanced Attention Module for Hyperspectral Change Detection. - Rui Miao 005; Yuxiang Zhang 001; Yanni Dong; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Domain Alignment Dynamic Spectral and Spatial Feature Fusion for Hyperspectral Change Detection. - Xuexiang Qin; Yuxiang Zhang 001; Yanni Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Multifeature Collaborative Attention Dynamic Hypergraph Convolutional Network for Hyperspectral Image Classification. - Wenping Liu; Yuxiang Zhang 001; Yanni Dong (IEEE Trans. Geosci. Remote. Sens., 2025)

Contrastive Self-Supervised Learning-Based Background Reconstruction for Hyperspectral Anomaly Detection. - Xiaoming Sun; Yuxiang Zhang 001; Yanni Dong; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Single-Source Frequency Transform for Cross-Scene Classification of Hyperspectral Image. - Xizeng Huang; Yanni Dong; Yuxiang Zhang 001; Bo Du 001 (IEEE Trans. Image Process., 2025)

COMO: Cross-mamba interaction and offset-guided fusion for multimodal object detection. - Chang Liu; Xin Ma 007; Xiaochen Yang; Yuxiang Zhang 001; Yanni Dong (Inf. Fusion, 2026)