Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms. - Xianju Li; Xinwen Cheng; Weitao Chen; Gang Chen; Shengwei Liu (Remote. Sens., 2015)

A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery. - Xianju Li; Weitao Chen; Xinwen Cheng; Lizhe Wang 001 (Remote. Sens., 2016)

Comparison and integration of feature reduction methods for land cover classification with RapidEye imagery. - Xianju Li; Weitao Chen; Xinwen Cheng; Yiwei Liao; Gang Chen (Multim. Tools Appl., 2017)

Rolling Guidance Based Scaled-Aware Spatial Sparse Unmixing for Hyperspectral Remote Sensing Imagery. - Ruyi Feng; Tian Tian 007; Xianju Li; Kun Sun 002 (IGARSS, 2018)

Optimal Seamline Detection for Orthoimage Mosaicking Based on DSM and Improved JPS Algorithm. - Gang Chen; Song Chen 003; Xianju Li; Ping Zhou; Zhou Zhou (Remote. Sens., 2018)

A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques. - Weitao Chen; Xianju Li; Haixia He; Lizhe Wang 001 (Remote. Sens., 2018)

Assessing Different Feature Sets' Effects on Land Cover Classification in Complex Surface-Mined Landscapes by ZiYuan-3 Satellite Imagery. - Weitao Chen; Xianju Li; Haixia He; Lizhe Wang 001 (Remote. Sens., 2018)

Multimodal and Multi-Model Deep Fusion for Fine Classification of Regional Complex Landscape Areas Using ZiYuan-3 Imagery. - Xianju Li; Zhuang Tang; Weitao Chen; Lizhe Wang 001 (Remote. Sens., 2019)

A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data. - Chunming Wu 002; Xiao Li; Weitao Chen; Xianju Li (J. Circuits Syst. Comput., 2020)

Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector Machine and WorldView-3 Imagery. - Weitao Chen; Xianju Li; Lizhe Wang 001 (Remote. Sens., 2020)

Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification. - Wei Tong; Weitao Chen; Wei Han 006; Xianju Li; Lizhe Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multimodal Data and Multiscale Kernel-Based Multistream CNN for Fine Classification of a Complex Surface-Mined Area. - Mingjie Qian; Song Sun; Xianju Li (Remote. Sens., 2021)

A Multi-Level Output-Based DBN Model for Fine Classification of Complex Geo-Environments Area Using Ziyuan-3 TMS Imagery. - Meng Li; Zhuang Tang; Wei Tong; Xianju Li; Weitao Chen; Lizhe Wang 001 (Sensors, 2021)

Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery. - Renxiang Guan; Zihao Li; Teng Li; Xianju Li; Jinzhong Yang; Weitao Chen (Remote. Sens., 2022)

GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification. - Weitao Chen; Shubing Ouyang; Wei Tong; Xianju Li; Xiongwei Zheng; Lizhe Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

JAGAN: A Framework for Complex Land Cover Classification Using Gaofen-5 AHSI Images. - Weitao Chen; Shubing Ouyang; Jiawei Yang; Xianju Li; Gaodian Zhou; Lizhe Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

NIGAN: A Framework for Mountain Road Extraction Integrating Remote Sensing Road-Scene Neighborhood Probability Enhancements and Improved Conditional Generative Adversarial Network. - Weitao Chen; Gaodian Zhou; Zhuoyue Liu; Xianju Li; Xiongwei Zheng; Lizhe Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Fine-Grained Genetic Landform Classification Network Based on Multimodal Feature Extraction and Regional Geological Context. - Shubing Ouyang; Jiahui Xu; Weitao Chen; Yusen Dong; Xianju Li; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 2022)

Split Depth-Wise Separable Graph-Convolution Network for Road Extraction in Complex Environments From High-Resolution Remote-Sensing Images. - Gaodian Zhou; Weitao Chen; Qianshan Gui; Xianju Li; Lizhe Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Xianju Li; Renxiang Guan; Zihao Li; Hao Liu; Jing Yang (APWeb/WAIM (4), 2023)

MCNet: A Multi-scale and Cascade Network for Semantic Segmentation of Remote Sensing Images. - Yin Zhou; Tianyi Li; Xianju Li; Ruyi Feng (APWeb-WAIM (2), 2023)

Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation. - Zhenglai Li; Chang Tang; Xianju Li; Weiying Xie; Kun Sun 002; Xinzhong Zhu (CoRR, 2023)

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Xianju Li; Chang Tang; Ruyi Feng (CoRR, 2023)

Edge Enhanced Channel Attention-Based Graph Convolution Network for Scene Classification of Complex Landscapes. - Haoyi Wang; Xianju Li; Gaodian Zhou; Weitao Chen; Lizhe Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. - Chang Tang; Jun Wang 118; Xiao Zheng; Xinwang Liu 002; Weiying Xie; Xianju Li; Xinzhong Zhu (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Feature Enhancement Method for Land Cover With Irregular and Sparse Spatial Distribution Features: A Case Study on Open-Pit Mining. - Gaodian Zhou; Jiahui Xu; Weitao Chen; Xianju Li; Jun Li 009; Lizhe Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. - Renxiang Guan; Zihao Li; Xianju Li; Chang Tang (ICASSP, 2024)

Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image. - Junhong Li; Renxiang Guan; Yuhang Han; Yaowen Hu; Zihao Li; Yanyan Wu; Ziwei Xu; Xianju Li (ICIC (6), 2024)

S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images. - Renxiang Guan; Zihao Li; Chujia Song; Guo Yu; Xianju Li; Ruyi Feng (IJCNN, 2024)

Fusion of Attention-Based Cascaded CNN and Label Dependency-Based GCN for Multi-label Scene Classification of Mining Land. - Xianju Li; Cong Cheng; Wenxi He; Weitao Chen (IJCNN, 2024)

Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. - Jingxin Wang; Renxiang Guan; Kainan Gao; Zihao Li; Hao Li; Xianju Li; Chang Tang (IJCNN, 2024)

Spectral-Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification. - Han Hu; Zhenhui Liu; Ziqing Xu; Haoyi Wang; Xianju Li; Xu Han; Jianyi Peng (PRCV (4), 2024)

Feature Exchange and Distribution-Based Mining Land Detection Method by Multispectral Imagery. - Yao Li; Haoyi Wang; Xianju Li; Jian Feng; Huijun Ding; Yiran Chang; Xiaokai Zhang; Jianyi Peng (PRCV (13), 2024)

S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images. - Renxiang Guan; Zihao Li; Chujia Song; Guo Yu; Xianju Li; Ruyi Feng (CoRR, 2024)

Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering. - Wei Feng; Minhui Wang; Chang Tang; Weiying Xie; Xianju Li; Xiao Zheng; Jiangfeng Xu (Eng. Appl. Artif. Intell., 2024)

CUG_MISDataset: A Remote Sensing Instance Segmentation Dataset for Improved Wide-Area High-Precision Mining Land Occupation Recognition. - Yuqian Zhu; Weitao Chen; Wenxi He; Ruizhen Wang; Xianju Li; Lizhe Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Wenxuan Tu; Jun Wang 118; Yue Liu 008; Xianju Li; Chang Tang; Ruyi Feng (IEEE Trans. Geosci. Remote. Sens., 2024)

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. - Zhenglai Li; Chang Tang; Xinwang Liu 002; Changdong Li; Xianju Li; Wei Zhang 049 (IEEE Trans. Geosci. Remote. Sens., 2024)

CUG-STCN: A seabed topography classification framework based on knowledge graph-guided vision mamba network. - Haoyi Wang; Weitao Chen; Xianju Li; Qianyong Liang; Xuwen Qin; Jun Li 009 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land. - Xianju Li; Pan Kong; Weitao Chen; Wenxi He; Jian Feng; Jiangyuan Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Dual-Stream Global-Local Feature Collaborative Representation Network for Scene Classification of Mining Area. - Shuqi Fan; Haoyi Wang; Xianju Li (CoRR, 2025)