Xianghai Cao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Image Classification

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Publications

Jie Feng, Qiyang Gao, Ronghua Shang, Xianghai Cao, Gaiqin Bai, Xiangrong Zhang, Licheng Jiao
Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide. Knowl. Based Syst. 299 (2024)
Jingjing Cai, Minghao He, Xianghai Cao, Fengming Gan
Semisupervised Radar Intrapulse Signal Modulation Classification With Virtual Adversarial Training. IEEE Internet Things J. 11 (6) (2024)
Xianghai Cao, Haifeng Lin, Shuaixu Guo, Tao Xiong, Licheng Jiao
Transformer-Based Masked Autoencoder With Contrastive Loss for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Xianghai Cao, Chenguang Li, Jie Feng, Licheng Jiao
Semi-supervised feature learning for disjoint hyperspectral imagery classification. Neurocomputing 526 (2023)
Caihao Sun, Xiaohua Zhang, Hongyun Meng, Xianghai Cao, Jinhua Zhang, Licheng Jiao
Dual-Branch Spectral-Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Li Wang, Xiaohua Zhang, Longfei Li, Hongyun Meng, Xianghai Cao
Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing. CoRR (2023)
Xianghai Cao, Kai Zhang, Licheng Jiao
CSANet: Cross-Scale Axial Attention Network for Road Segmentation. Remote. Sens. 15 (1) (2023)
Jie Feng, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao
Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Sikang Hou, Hongye Shi, Xianghai Cao, Xiaohua Zhang, Licheng Jiao
Hyperspectral Imagery Classification Based on Contrastive Learning. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Xianghai Cao, Zuji Liu, Xiangxiang Li, Qian Xiao, Jie Feng, Licheng Jiao
Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jinhua Zhang, Xiaohua Zhang, Hongyun Meng, Caihao Sun, Li Wang, Xianghai Cao
Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model. Remote. Sens. 14 (20) (2022)
Chen Xiaoyue, Xianghai Cao
Hyperspectral Image Classification Based on Co-Learning Through Dual-Architecture Ensemble. ICASSP (2022)
Caihao Sun, Xiaohua Zhang, Hongyun Meng, Xianghai Cao, Jinhua Zhang
AC-WGAN-GP: Generating Labeled Samples for Improving Hyperspectral Image Classification with Small-Samples. Remote. Sens. 14 (19) (2022)
Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu, Peng Li
Radar Intra-Pulse Signal Modulation Classification with Contrastive Learning. Remote. Sens. 14 (22) (2022)
Shuhan Zhang, Xiaohua Zhang, Tianrui Li, Hongyun Meng, Xianghai Cao, Li Wang
Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set. Remote. Sens. 14 (11) (2022)
Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu
Signal Modulation Classification Based on the Transformer Network. IEEE Trans. Cogn. Commun. Netw. 8 (3) (2022)
Jin Zhao, Zixuan Ba, Xianghai Cao, Jie Feng, Licheng Jiao
Deep Mutual-Teaching for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Jie Feng, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao
Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection. IEEE Trans. Cybern. 51 (9) (2021)
Xianghai Cao, Meiru Ren, Jing Zhao, Hui Li, Licheng Jiao
Hyperspectral Imagery Classification Based on Compressed Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 17 (9) (2020)
Xianghai Cao, Meiru Ren, Jing Zhao, Hongxia Lu, Licheng Jiao
Non-overlapping classification of hyperspectral imagery based on set-to-sets distance. Neurocomputing 378 (2020)
Jie Feng, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification. Remote. Sens. 12 (7) (2020)
Xianghai Cao, Hongxia Lu, Meiru Ren, Licheng Jiao
Non-overlapping classification of hyperspectral imagery with superpixel segmentation. Appl. Soft Comput. 83 (2019)
Xianghai Cao, Yamei Ji, Lin Wang, Beibei Ji, Licheng Jiao, Jungong Han
SAR image change detection based on deep denoising and CNN. IET Image Process. 13 (9) (2019)
Xianghai Cao, Cuicui Wei, Yiming Ge, Jie Feng, Jing Zhao, Licheng Jiao
Semi-Supervised Hyperspectral Band Selection Based on Dynamic Classifier Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (4) (2019)
Jie Feng, Haipeng Yu, Lin Wang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao
Classification of Hyperspectral Images Based on Multiclass Spatial-Spectral Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 57 (8) (2019)
Jie Feng, Jiantong Chen, Liguo Liu, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu
CNN-Based Multilayer Spatial-Spectral Feature Fusion and Sample Augmentation With Local and Nonlocal Constraints for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (4) (2019)
Xianghai Cao, Li Wen, Yiming Ge, Jing Zhao, Licheng Jiao
Rotation-Based Deep Forest for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 16 (7) (2019)
Xianghai Cao, Xiaozhen Wang, Da Wang, Jing Zhao, Licheng Jiao
Spectral-Spatial Hyperspectral Image Classification Using Cascaded Markov Random Fields. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (12) (2019)
Xianghai Cao, Yiming Ge, Renjie Li, Jing Zhao, Licheng Jiao
Hyperspectral imagery classification with deep metric learning. Neurocomputing 356 (2019)
Xianghai Cao, Yamei Ji, Lin Wang, Beibei Ji, Licheng Jiao, Jungong Han
Fast hyperspectral band selection based on spatial feature extraction. J. Real Time Image Process. 15 (3) (2018)
Xianghai Cao, Renjie Li, Li Wen, Jie Feng, Licheng Jiao
Deep Multiple Feature Fusion for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (10) (2018)
Jie Feng, Liguo Liu, Xianghai Cao, Licheng Jiao, Tao Sun, Xiangrong Zhang
Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (9) (2018)
Xianghai Cao, Cuicui Wei, Jungong Han, Licheng Jiao
Hyperspectral Band Selection Using Improved Classification Map. IEEE Geosci. Remote. Sens. Lett. 14 (11) (2017)
Wei Zhao, Licheng Jiao, Wenping Ma, Jiaqi Zhao, Jin Zhao, Hongying Liu, Xianghai Cao, Shuyuan Yang
Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55 (7) (2017)
Licheng Jiao, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, Xianghai Cao
Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55 (10) (2017)
Xianghai Cao, Bin Wu, Dacheng Tao, Licheng Jiao
Automatic Band Selection Using Spatial-Structure Information and Classifier-Based Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (9) (2016)
Xianghai Cao, Tao Xiong, Licheng Jiao
Supervised Band Selection Using Local Spatial Information for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 13 (3) (2016)