Supervised Band Selection Using Local Spatial Information for Hyperspectral Image. - Xianghai Cao; Tao Xiong; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2016)

Automatic Band Selection Using Spatial-Structure Information and Classifier-Based Clustering. - Xianghai Cao; Bin Wu; Dacheng Tao; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Hyperspectral Band Selection Using Improved Classification Map. - Xianghai Cao; Cuicui Wei; Jungong Han; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2017)

Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification. - Licheng Jiao; Miaomiao Liang; Huan Chen 006; Shuyuan Yang 001; Hongying Liu 001; Xianghai Cao (IEEE Trans. Geosci. Remote. Sens., 2017)

Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification. - Wei Zhao 014; Licheng Jiao; Wenping Ma 001; Jiaqi Zhao 001; Jin Zhao 002; Hongying Liu 001; Xianghai Cao; Shuyuan Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

Fast hyperspectral band selection based on spatial feature extraction. - Xianghai Cao; Yamei Ji; Lin Wang; Beibei Ji; Licheng Jiao; Jungong Han (J. Real Time Image Process., 2018)

Deep Multiple Feature Fusion for Hyperspectral Image Classification. - Xianghai Cao; Renjie Li 003; Li Wen; Jie Feng 003; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification. - Jie Feng 003; Liguo Liu; Xianghai Cao; Licheng Jiao; Tao Sun 007; Xiangrong Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Non-overlapping classification of hyperspectral imagery with superpixel segmentation. - Xianghai Cao; Hongxia Lu; Meiru Ren; Licheng Jiao (Appl. Soft Comput., 2019)

SAR image change detection based on deep denoising and CNN. - Xianghai Cao; Yamei Ji; Lin Wang; Beibei Ji; Licheng Jiao; Jungong Han (IET Image Process., 2019)

Hyperspectral imagery classification with deep metric learning. - Xianghai Cao; Yiming Ge; Renjie Li 003; Jing Zhao; Licheng Jiao (Neurocomputing, 2019)

Rotation-Based Deep Forest for Hyperspectral Imagery Classification. - Xianghai Cao; Li Wen; Yiming Ge; Jing Zhao; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2019)

Semi-Supervised Hyperspectral Band Selection Based on Dynamic Classifier Selection. - Xianghai Cao; Cuicui Wei; Yiming Ge; Jie Feng 003; Jing Zhao; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Spectral-Spatial Hyperspectral Image Classification Using Cascaded Markov Random Fields. - Xianghai Cao; Xiaozhen Wang; Da Wang; Jing Zhao; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

CNN-Based Multilayer Spatial-Spectral Feature Fusion and Sample Augmentation With Local and Nonlocal Constraints for Hyperspectral Image Classification. - Jie Feng 003; Jiantong Chen; Liguo Liu; Xianghai Cao; Xiangrong Zhang; Licheng Jiao; Tao Yu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Classification of Hyperspectral Images Based on Multiclass Spatial-Spectral Generative Adversarial Networks. - Jie Feng 003; Haipeng Yu; Lin Wang; Xianghai Cao; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2019)

Non-overlapping classification of hyperspectral imagery based on set-to-sets distance. - Xianghai Cao; Meiru Ren; Jing Zhao; Hongxia Lu; Licheng Jiao (Neurocomputing, 2020)

Hyperspectral Imagery Classification Based on Compressed Convolutional Neural Network. - Xianghai Cao; Meiru Ren; Jing Zhao; Hui Li 006; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2020)

Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification. - Jie Feng 003; Xueliang Feng; Jiantong Chen; Xianghai Cao; Xiangrong Zhang; Licheng Jiao; Tao Yu (Remote. Sens., 2020)

Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection. - Jie Feng 003; Jiantong Chen; Qigong Sun; Ronghua Shang; Xianghai Cao; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Cybern., 2021)

Hyperspectral Image Classification Based on Co-Learning Through Dual-Architecture Ensemble. - Chen Xiaoyue; Xianghai Cao (ICASSP, 2022)

Deep Mutual-Teaching for Hyperspectral Imagery Classification. - Jin Zhao 002; Zixuan Ba; Xianghai Cao; Jie Feng 003; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2022)

Radar Intra-Pulse Signal Modulation Classification with Contrastive Learning. - Jingjing Cai; Fengming Gan; Xianghai Cao; Wei Liu 001; Peng Li (Remote. Sens., 2022)

AC-WGAN-GP: Generating Labeled Samples for Improving Hyperspectral Image Classification with Small-Samples. - Caihao Sun; Xiaohua Zhang; Hongyun Meng; Xianghai Cao; Jinhua Zhang (Remote. Sens., 2022)

Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set. - Shuhan Zhang; Xiaohua Zhang; Tianrui Li 004; Hongyun Meng; Xianghai Cao; Li Wang 067 (Remote. Sens., 2022)

Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model. - Jinhua Zhang; Xiaohua Zhang; Hongyun Meng; Caihao Sun; Li Wang 067; Xianghai Cao (Remote. Sens., 2022)

Signal Modulation Classification Based on the Transformer Network. - Jingjing Cai; Fengming Gan; Xianghai Cao; Wei Liu 001 (IEEE Trans. Cogn. Commun. Netw., 2022)

Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy. - Xianghai Cao; Zuji Liu; Xiangxiang Li; Qian Xiao; Jie Feng 003; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. - Jie Feng 003; Di Li; Jing Gu; Xianghai Cao; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Imagery Classification Based on Contrastive Learning. - Sikang Hou; Hongye Shi; Xianghai Cao; Xiaohua Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing. - Li Wang 067; Xiaohua Zhang; Longfei Li; Hongyun Meng; Xianghai Cao (CoRR, 2023)

Dual-Branch Spectral-Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples. - Caihao Sun; Xiaohua Zhang; Hongyun Meng; Xianghai Cao; Jinhua Zhang; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Transformer-Based Masked Autoencoder With Contrastive Loss for Hyperspectral Image Classification. - Xianghai Cao; Haifeng Lin; Shuaixu Guo; Tao Xiong; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

CSANet: Cross-Scale Axial Attention Network for Road Segmentation. - Xianghai Cao; Kai Zhang 010; Licheng Jiao (Remote. Sens., 2023)

Semi-supervised feature learning for disjoint hyperspectral imagery classification. - Xianghai Cao; Chenguang Li; Jie Feng 003; Licheng Jiao (Neurocomputing, 2023)

Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide. - Jie Feng 003; Qiyang Gao; Ronghua Shang; Xianghai Cao; Gaiqin Bai; Xiangrong Zhang; Licheng Jiao (Knowl. Based Syst., 2024)

Mask-Enhanced Contrastive Learning for Hyperspectral Image Classification. - Xianghai Cao; Jiayu Yu; Ruijie Xu; Jiaxuan Wei; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Semisupervised Radar Intrapulse Signal Modulation Classification With Virtual Adversarial Training. - Jingjing Cai; Minghao He; Xianghai Cao; Fengming Gan (IEEE Internet Things J., 2024)

Automatic Radar Intra-Pulse Signal Modulation Classification Using the Supervised Contrastive Learning. - Jingjing Cai; Yicheng Guo; Xianghai Cao (Remote. Sens., 2024)