Hyperspectral Image Classification Based on Dense Convolution and Conditional Random Field. - Chunhui Zhao 003; Boao Qin; Tong Li; Shou Feng; Yiming Yan (IGARSS, 2021)

Short and Long Range Graph Convolution Network for Hyperspectral Image Classification. - Wenxiang Zhu; Chunhui Zhao 003; Boao Qin; Shou Feng (IGARSS, 2022)

Multilevel Feature Alignment Based on Spatial Attention Deformable Convolution for Cross-Scene Hyperspectral Image Classification. - Wenxiang Zhu; Chunhui Zhao 003; Shou Feng; Boao Qin (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification. - Chunhui Zhao 003; Boao Qin; Shou Feng; Wenxiang Zhu (Remote. Sens., 2022)

An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification. - Chunhui Zhao 003; Boao Qin; Shou Feng; Wenxiang Zhu; Lifu Zhang; Jinchang Ren (IEEE Trans. Geosci. Remote. Sens., 2022)

Multiscale Short and Long Range Graph Convolutional Network for Hyperspectral Image Classification. - Wenxiang Zhu; Chunhui Zhao 003; Shou Feng; Boao Qin (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Classification Based on Masked Self-Supervisied Pretraining Network. - Hongzhe Zhang; Shou Feng; Xueqing Wang; JianFei Liu; Boao Qin; HaiYang Zhong (IGARSS, 2023)

Hybrid Spectral-Spatial Convolutional Network and Transformer with Mixup Regularization for Hyperspectral Image Classification. - Boao Qin; Chunhui Zhao 003; Shou Feng; Maoyang Chen; Hongzhe Zhang; Bobo Xi (WHISPERS, 2023)

A Coarse-to-Fine Semisupervised Learning Method Based on Superpixel Graph and Breaking-Tie Sampling for Hyperspectral Image Classification. - Chunhui Zhao 003; Maoyang Chen; Shou Feng; Boao Qin; Lifu Zhang (IEEE Geosci. Remote. Sens. Lett., 2023)

Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning. - Chunhui Zhao 003; Boao Qin; Shou Feng; Wenxiang Zhu; Weiwei Sun 005; Wei Li 032; Xiuping Jia (IEEE Trans. Image Process., 2023)

Cross-Domain Few-Shot Learning Based on Feature Disentanglement for Hyperspectral Image Classification. - Boao Qin; Shou Feng; Chunhui Zhao 003; Wei Li 032; Ran Tao 003; Wei Xiang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspherical Structural-Aware Distillation Enhanced Spatial-Spectral Bidirectional Interaction Network for Hyperspectral Image Classification. - Boao Qin; Shou Feng; Chunhui Zhao 003; Bobo Xi; Wei Li 032; Ran Tao 003; Yunsong Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Full-Range Feature Extraction Network Based on Quality-Quantity-Balance Sample Enhancement for Hyperspectral Image Classification. - Chunhui Zhao 003; Maoyang Chen; Shou Feng; Wenxiang Zhu; Boao Qin (IEEE Trans. Geosci. Remote. Sens., 2024)

Collaborative Classification of Hyperspectral and LiDAR Date Based on Dynamic Multiple Fractional Fourier Domains Fusion. - Boao Qin; Shou Feng; Chunhui Zhao 003; Wei Li 032; Ran Tao 003 (IEEE Trans. Geosci. Remote. Sens., 2025)

Language-Enhanced Dual-Level Contrastive Learning Network for Open-Set Hyperspectral Image Classification. - Boao Qin; Shou Feng; Chunhui Zhao 003; Wei Li 032; Ran Tao 003; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

FDGNet: Frequency Disentanglement and Data Geometry for Domain Generalization in Cross-Scene Hyperspectral Image Classification. - Boao Qin; Shou Feng; Chunhui Zhao 003; Bobo Xi; Wei Li 032; Ran Tao 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)