Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification. - Bing Tu; Chengle Zhou; Xiaolong Liao; Zhi Xu 005; Yishu Peng; Xianfeng Ou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Spectral-Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation. - Bing Tu; Chengle Zhou; Xiaolong Liao; Guoyun Zhang; Yishu Peng (IEEE Geosci. Remote. Sens. Lett., 2021)

Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification. - Bing Tu; Chengle Zhou; Xiaolong Liao; Qianming Li; Yishu Peng (IEEE Trans. Geosci. Remote. Sens., 2021)

Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification. - Bing Tu; Xiaolong Liao; Chengle Zhou; Siyuan Chen; Wei He 021 (IEEE Trans. Instrum. Meas., 2021)

Multi-resolution Pyramid Enhanced Non-local Feature Extraction for Hyperspectral Classification. - Bing Tu; Xiaolong Liao; Qianming Li; Chengle Zhou; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification. - Bing Tu; Xiaolong Liao; Qianming Li; Yishu Peng; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2022)

Class-wise Graph Embedding-Based Active Learning for Hyperspectral Image Classification. - Xiaolong Liao; Bing Tu; Jun Li 009; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Image Classification via Multiscale Multiangle Attention Network. - Jianghong Hu; Bing Tu; Qi Ren; Xiaolong Liao; Zhaolou Cao; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2024)