Local decision maximum margin metric learning for hyperspectral target detection. - Yanni Dong; Bo Du 001; Lefei Zhang; Liangpei Zhang 001 (IGARSS, 2015)

Target Detection Based on Random Forest Metric Learning. - Yanni Dong; Bo Du 001; Liangpei Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

LAM3L: Locally adaptive maximum margin metric learning for visual data classification. - Yanni Dong; Bo Du 001; Lefei Zhang; Liangpei Zhang 001; Dacheng Tao (Neurocomputing, 2017)

Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect. - Yanni Dong; Bo Du 001; Liangpei Zhang 001; Lefei Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning. - Yanni Dong; Bo Du 001; Liangpei Zhang 001; Lefei Zhang (IEEE Trans. Geosci. Remote. Sens., 2017)

Discriminant Spatial-Spectral Hypergraph Learning for Hyperspectral Image Classification. - Fulin Luo; Liangpei Zhang 001; Bo Du 001; Lefei Zhang; Yanni Dong (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)

Hyperspectral Target Detection via Adaptive Information - Theoretic Metric Learning with Local Constraints. - Yanni Dong; Bo Du 001; Liangpei Zhang 001; Xiangyun Hu (Remote. Sens., 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)

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)

Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine. - Ziye Wang; Renguang Zuo; Yanni Dong (Comput. Geosci., 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)

Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest. - Ziye Wang; Renguang Zuo; Yanni Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Maximum values of degree-based entropies of bipartite graphs. - Yanni Dong; Shengning Qiao; Bing Chen 006; Pengfei Wan; Shenggui Zhang (Appl. Math. Comput., 2021)

Graphs with minimum degree-based entropy. - Yanni Dong; Maximilien Gadouleau; Pengfei Wan; Shenggui Zhang (CoRR, 2021)

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

Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery. - Yan Liu; Renguang Zuo; Yanni Dong (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)

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)

Construction Land Information Extraction and Expansion Analysis of Xiaogan City Using One-Class Support Vector Machine. - Jaxin Nie; Yanni Dong; Renguang Zuo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Enhanced Spectral-Spatial Residual Attention Network for Hyperspectral Image Classification. - Yanting Zhan; Ke Wu 004; Yanni Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection. - Yanni Dong; Wenzhong Shi; Bo Du 001; Xiangyun Hu; Liangpei Zhang 001 (IEEE Trans. Cybern., 2022)

Clustered Multiple Manifold Metric Learning for Hyperspectral Image Dimensionality Reduction and Classification. - Yanni Dong; Yao Jin; Shunbo Cheng (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)

Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification. - Cong Yang; Yanni Dong; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spatial-Spectral Joint Reconstruction With Interband Correlation for Hyperspectral Anomaly Detection. - Dehui Zhu; Bo Du 001; Yanni Dong; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification. - Yanni Dong; Quanwei Liu; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Image Process., 2022)

Adaptive Hyperspectral Siamese Network in Transformer. - Chang Liu; Jiawei Zhou; Yanni Dong (WHISPERS, 2023)

The effect of graph operations on the degree-based entropy. - Yanni Dong; Hajo Broersma; Changwu Song; Pengfei Wan; Shenggui Zhang (Appl. Math. Comput., 2023)

Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning. - Hao Li 034; Quanwei Liu; Jianan Liu; Xiling Liu; Yanni Dong; Tao Huang 008; Zhihan Lv (CoRR, 2023)

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

Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection. - Dehui Zhu; Bo Du 001; Meiqi Hu; Yanni Dong; Liangpei Zhang 001 (Neural Networks, 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)

Multilevel Spatial Feature-Based Manifold Metric Learning for Domain Adaptation in Remote Sensing Image Classification. - Yanni Dong; Xuexiang Qin; Xue Li 022; Lina Xu (IEEE Trans. Geosci. Remote. Sens., 2023)

Unsupervised Hyperspectral Band Selection via Structure-Conserved and Neighborhood-Grouped Evolutionary Algorithm. - Qijun Wang; Chaoping Song; Yanni Dong; Fan Cheng 001; Lyuyang Tong; Bo Du 001; Xingyi Zhang 001 (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)

Target Detection With Spatial-Spectral Adaptive Sample Generation and Deep Metric Learning for Hyperspectral Imagery. - Dehui Zhu; Bo Du 001; Yanni Dong; Liangpei Zhang 001 (IEEE Trans. Multim., 2023)

Unpaired MRI Super Resolution with Contrastive Learning. - Hao Li 034; Quanwei Liu; Jianan Liu; Xiling Liu; Yanni Dong; Tao Huang 008; Zhihan Lv (ISBI, 2024)

Incorporating Prompt Learning and Adaptive Dropping Hyperspectral Information Tracker for Hyperspectral Object Tracking. - Jiawei Zhou; Jiaqi Zhang; Yanni Dong (WHISPERS, 2024)

Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network. - Yanni Dong; Zhenzhen Yang; Quanwei Liu; Renguang Zuo; Ziye Wang (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data. - Yizhen Zheng; Wen Dong 003; Zhiping Yang; Yihang Lu; Xin Zhang 031; Yanni Dong; Fengqing Sun (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification. - Quanwei Liu; Yanni Dong; Tao Huang 008; Lefei Zhang; Bo Du 001 (CoRR, 2024)

The complexity of spanning tree problems involving graphical indices. - Yanni Dong; Hajo Broersma; Yuhang Bai; Shenggui Zhang (Discret. Appl. Math., 2024)

Extremal values of degree-based entropies of bipartite graphs. - Stijn Cambie; Yanni Dong; Matteo Mazzamurro (Inf. Sci., 2024)

Graphs with minimum degree-entropy. - Yanni Dong; Maximilien Gadouleau; Pengfei Wan; Shenggui Zhang (Inf. Sci., 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)

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification. - Qijun Wang; Yong Liu 026; Ke Xu 011; Yanni Dong; Fan Cheng 001; Ye Tian 009; Bo Du 001; Xingyi Zhang 001 (Swarm Evol. Comput., 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)

AGMS: Adversarial Sample Generation-Based Multiscale Siamese Network for Hyperspectral Target Detection. - Fulin Luo; Shanshan Shi; Tan Guo; Yanni Dong; Lefei Zhang; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Deep Cross-Modal Fusion Network for Road Extraction With High-Resolution Imagery and LiDAR Data. - Hui Luo 012; Zijing Wang; Bo Du 001; Yanni Dong (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)

SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction. - Bei Zhu; Yao Jin; Xuehua Guan; Yanni Dong (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Edge-Guided Multiscale Spatio-Temporal-Spectral Dynamic Coordination for Agricultural Parcel Classification. - Wenxia Gan; Xianghong Yin; Peng Dou; Kedi Gu; Yanni Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

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)

Deep Metric Learning Based on Brownian Covariance Representation for Few-Shot Hyperspectral Image Classification. - Yanni Dong; Bei Zhu; Xiaochen Yang; Xin Ma 007 (IEEE Trans. Geosci. Remote. Sens., 2025)

Essential Hierarchical Information That Warrants Attention: A Semi-Supervised Hyperspectral Hierarchical Classification Network. - Yao Jin; Yanni Dong; Chen Wu 003 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multimodal U-Net: A Novel Approach for 2-D Inversion of Magnetotelluric Data. - Xin Li; Yanni Dong; Junge He; Xin Yang; Wenlong Zhou; Xiangyun Hu (IEEE Trans. Geosci. 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)

Multiscale Semantically Modulated Mixed Convolutional Networks for Subpixel Mapping. - Mingming Xu; Xin Zou; Shanwei Liu; Hui Sheng; Yanni Dong (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)

SiamTITP: Incorporating Temporal Information and Trajectory Prediction Siamese Network for Satellite Video Object Tracking. - Jiawei Zhou; Yanni Dong; Bo Du 001 (IEEE Trans. Image Process., 2025)

From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation. - Quanwei Liu; Tao Huang 008; Yanni Dong; Jiaqi Yang; Wei Xiang 001 (CoRR, 2025)

LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection. - Lei Hao; Lina Xu; Chang Liu; Yanni Dong (CoRR, 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)