Xianghai Cao

According to our database, Xianghai Cao authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatic Radar Intra-Pulse Signal Modulation Classification Using the Supervised Contrastive Learning.

Jingjing Cai, Yicheng Guo, Xianghai Cao

Remote. Sens., September, 2024

Semisupervised Radar Intrapulse Signal Modulation Classification With Virtual Adversarial Training.

Jingjing Cai, Minghao He, Xianghai Cao, Fengming Gan

IEEE Internet Things J., March, 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

Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide.

Jie Feng, Qiyang Gao, Ronghua Shang, Xianghai Cao, Gaiqin Bai, Xiangrong Zhang, Licheng Jiao

Knowl. Based Syst., 2024

2023

Semi-supervised feature learning for disjoint hyperspectral imagery classification.

Xianghai Cao, Chenguang Li, Jie Feng, Licheng Jiao

Neurocomputing, March, 2023

CSANet: Cross-Scale Axial Attention Network for Road Segmentation.

Xianghai Cao, Kai Zhang, Licheng Jiao

Remote. Sens., January, 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

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

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing.

Li Wang, Xiaohua Zhang, Longfei Li, Hongyun Meng, Xianghai Cao

CoRR, 2023

2022

Hyperspectral Imagery Classification Based on Contrastive Learning.

Sikang Hou, Hongye Shi, Xianghai Cao, Xiaohua Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection.

Jie Feng, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy.

Xianghai Cao, Zuji Liu, Xiangxiang Li, Qian Xiao, Jie Feng, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Signal Modulation Classification Based on the Transformer Network.

Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu

IEEE Trans. Cogn. Commun. Netw., 2022

Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model.

Jinhua Zhang, Xiaohua Zhang, Hongyun Meng, Caihao Sun, Li Wang, Xianghai Cao

Remote. Sens., 2022

Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set.

Shuhan Zhang, Xiaohua Zhang, Tianrui Li, Hongyun Meng, Xianghai Cao, Li Wang

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

Radar Intra-Pulse Signal Modulation Classification with Contrastive Learning.

Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu, Peng Li

Remote. Sens., 2022

Deep Mutual-Teaching for Hyperspectral Imagery Classification.

Jin Zhao, Zixuan Ba, Xianghai Cao, Jie Feng, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Image Classification Based on Co-Learning Through Dual-Architecture Ensemble.

Chen Xiaoyue, Xianghai Cao

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection.

Jie Feng, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Cybern., 2021

2020

Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification.

Jie Feng, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu

Remote. Sens., 2020

Hyperspectral Imagery Classification Based on Compressed Convolutional Neural Network.

Xianghai Cao, Meiru Ren, Jing Zhao, Hui Li, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2020

Non-overlapping classification of hyperspectral imagery based on set-to-sets distance.

Xianghai Cao, Meiru Ren, Jing Zhao, Hongxia Lu, Licheng Jiao

Neurocomputing, 2020

2019

Classification of Hyperspectral Images Based on Multiclass Spatial-Spectral Generative Adversarial Networks.

Jie Feng, Haipeng Yu, Lin Wang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2019

CNN-Based Multilayer Spatial-Spectral Feature Fusion and Sample Augmentation With Local and Nonlocal Constraints for Hyperspectral Image Classification.

Jie Feng, Jiantong Chen, Liguo Liu, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu

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

Semi-Supervised Hyperspectral Band Selection Based on Dynamic Classifier Selection.

Xianghai Cao, Cuicui Wei, Yiming Ge, Jie Feng, Jing Zhao, Licheng Jiao

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

Hyperspectral imagery classification with deep metric learning.

Xianghai Cao, Yiming Ge, Renjie Li, Jing Zhao, Licheng Jiao

Neurocomputing, 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

Non-overlapping classification of hyperspectral imagery with superpixel segmentation.

Xianghai Cao, Hongxia Lu, Meiru Ren, Licheng Jiao

Appl. Soft Comput., 2019

2018

Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification.

Jie Feng, Liguo Liu, Xianghai Cao, Licheng Jiao, Tao Sun, Xiangrong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Deep Multiple Feature Fusion for Hyperspectral Image Classification.

Xianghai Cao, Renjie Li, Li Wen, Jie Feng, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

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

2017

Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification.

Wei Zhao, Licheng Jiao, Wenping Ma, Jiaqi Zhao, Jin Zhao, Hongying Liu, Xianghai Cao, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2017

Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification.

Licheng Jiao, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, Xianghai Cao

IEEE Trans. Geosci. Remote. Sens., 2017

Hyperspectral Band Selection Using Improved Classification Map.

Xianghai Cao, Cuicui Wei, Jungong Han, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2017

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

Supervised Band Selection Using Local Spatial Information for Hyperspectral Image.

Xianghai Cao, Tao Xiong, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2016