Xianghai Cao

41 papers Misc 1Journal 40
YearRankTypeTitle / Venue / Authors
2025 J jnl
DEPFusion: Dual-Domain Enhancement and Priority-Guided Mamba Fusion for UAV Multispectral Object Detection.
CoRR
Shucong Li, Zhenyu Liu, Zijie Hong, Zhiheng Zhou, Xianghai Cao
2025 J jnl
Reconstruction-Enhanced Prototype Network for Hyperspectral Image Open-Set Classification.
IEEE Trans. Geosci. Remote. Sens.
Ruijie Xu, Jiayu Yu, Xianghai Cao, Jing Zhao, Licheng Jiao
2024 J jnl
Automatic Radar Intra-Pulse Signal Modulation Classification Using the Supervised Contrastive Learning.
Remote. Sens.
Jingjing Cai, Yicheng Guo, Xianghai Cao
2024 J jnl
Mask-Enhanced Contrastive Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Xianghai Cao, Jiayu Yu, Ruijie Xu, Jiaxuan Wei, Licheng Jiao
2024 J jnl
Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide.
Knowl. Based Syst.
Jie Feng, Qiyang Gao, Ronghua Shang, Xianghai Cao, Gaiqin Bai, Xiangrong Zhang, Licheng Jiao
2024 J jnl
Semisupervised Radar Intrapulse Signal Modulation Classification With Virtual Adversarial Training.
IEEE Internet Things J.
Jingjing Cai, Minghao He, Xianghai Cao, Fengming Gan
2023 J jnl
CSANet: Cross-Scale Axial Attention Network for Road Segmentation.
Remote. Sens.
Xianghai Cao, Kai Zhang, Licheng Jiao
2023 J jnl
Dual-Branch Spectral-Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Caihao Sun, Xiaohua Zhang, Hongyun Meng, Xianghai Cao, Jinhua Zhang, Licheng Jiao
2023 J jnl
Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing.
CoRR
Li Wang, Xiaohua Zhang, Longfei Li, Hongyun Meng, Xianghai Cao
2023 J jnl
Semi-supervised feature learning for disjoint hyperspectral imagery classification.
Neurocomputing
Xianghai Cao, Chenguang Li, Jie Feng, Licheng Jiao
2023 J jnl
Transformer-Based Masked Autoencoder With Contrastive Loss for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Xianghai Cao, Haifeng Lin, Shuaixu Guo, Tao Xiong, Licheng Jiao
2022 J jnl
AC-WGAN-GP: Generating Labeled Samples for Improving Hyperspectral Image Classification with Small-Samples.
Remote. Sens.
Caihao Sun, Xiaohua Zhang, Hongyun Meng, Xianghai Cao, Jinhua Zhang
2022 J jnl
Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set.
Remote. Sens.
Shuhan Zhang, Xiaohua Zhang, Tianrui Li, Hongyun Meng, Xianghai Cao, Li Wang
2022 J jnl
Deep Mutual-Teaching for Hyperspectral Imagery Classification.
IEEE Geosci. Remote. Sens. Lett.
Jin Zhao, Zixuan Ba, Xianghai Cao, Jie Feng, Licheng Jiao
2022 J jnl
Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens.
Jie Feng, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao
2022 Misc conf
Hyperspectral Image Classification Based on Co-Learning Through Dual-Architecture Ensemble.
ICASSP
Chen Xiaoyue, Xianghai Cao
2022 J jnl
Hyperspectral Imagery Classification Based on Contrastive Learning.
IEEE Trans. Geosci. Remote. Sens.
Sikang Hou, Hongye Shi, Xianghai Cao, Xiaohua Zhang, Licheng Jiao
2022 J jnl
Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model.
Remote. Sens.
Jinhua Zhang, Xiaohua Zhang, Hongyun Meng, Caihao Sun, Li Wang, Xianghai Cao
2022 J jnl
Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy.
IEEE Trans. Geosci. Remote. Sens.
Xianghai Cao, Zuji Liu, Xiangxiang Li, Qian Xiao, Jie Feng, Licheng Jiao
2022 J jnl
Radar Intra-Pulse Signal Modulation Classification with Contrastive Learning.
Remote. Sens.
Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu, Peng Li
2022 J jnl
Signal Modulation Classification Based on the Transformer Network.
IEEE Trans. Cogn. Commun. Netw.
Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu
2021 J jnl
Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection.
IEEE Trans. Cybern.
Jie Feng, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao
2020 J jnl
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification.
Remote. Sens.
Jie Feng, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu
2020 J jnl
Hyperspectral Imagery Classification Based on Compressed Convolutional Neural Network.
IEEE Geosci. Remote. Sens. Lett.
Xianghai Cao, Meiru Ren, Jing Zhao, Hui Li, Licheng Jiao
2020 J jnl
Non-overlapping classification of hyperspectral imagery based on set-to-sets distance.
Neurocomputing
Xianghai Cao, Meiru Ren, Jing Zhao, Hongxia Lu, Licheng Jiao
2019 J jnl
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.
Jie Feng, Jiantong Chen, Liguo Liu, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu
2019 J jnl
Classification of Hyperspectral Images Based on Multiclass Spatial-Spectral Generative Adversarial Networks.
IEEE Trans. Geosci. Remote. Sens.
Jie Feng, Haipeng Yu, Lin Wang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao
2019 J jnl
Hyperspectral imagery classification with deep metric learning.
Neurocomputing
Xianghai Cao, Yiming Ge, Renjie Li, Jing Zhao, Licheng Jiao
2019 J jnl
Non-overlapping classification of hyperspectral imagery with superpixel segmentation.
Appl. Soft Comput.
Xianghai Cao, Hongxia Lu, Meiru Ren, Licheng Jiao
2019 J jnl
Rotation-Based Deep Forest for Hyperspectral Imagery Classification.
IEEE Geosci. Remote. Sens. Lett.
Xianghai Cao, Li Wen, Yiming Ge, Jing Zhao, Licheng Jiao
2019 J jnl
SAR image change detection based on deep denoising and CNN.
IET Image Process.
Xianghai Cao, Yamei Ji, Lin Wang, Beibei Ji, Licheng Jiao, Jungong Han
2019 J jnl
Semi-Supervised Hyperspectral Band Selection Based on Dynamic Classifier Selection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xianghai Cao, Cuicui Wei, Yiming Ge, Jie Feng, Jing Zhao, Licheng Jiao
2019 J jnl
Spectral-Spatial Hyperspectral Image Classification Using Cascaded Markov Random Fields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xianghai Cao, Xiaozhen Wang, Da Wang, Jing Zhao, Licheng Jiao
2018 J jnl
Deep Multiple Feature Fusion for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xianghai Cao, Renjie Li, Li Wen, Jie Feng, Licheng Jiao
2018 J jnl
Fast hyperspectral band selection based on spatial feature extraction.
J. Real Time Image Process.
Xianghai Cao, Yamei Ji, Lin Wang, Beibei Ji, Licheng Jiao, Jungong Han
2018 J jnl
Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jie Feng, Liguo Liu, Xianghai Cao, Licheng Jiao, Tao Sun, Xiangrong Zhang
2017 J jnl
Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Licheng Jiao, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, Xianghai Cao
2017 J jnl
Hyperspectral Band Selection Using Improved Classification Map.
IEEE Geosci. Remote. Sens. Lett.
Xianghai Cao, Cuicui Wei, Jungong Han, Licheng Jiao
2017 J jnl
Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Wei Zhao, Licheng Jiao, Wenping Ma, Jiaqi Zhao, Jin Zhao, Hongying Liu, Xianghai Cao, Shuyuan Yang
2016 J jnl
Automatic Band Selection Using Spatial-Structure Information and Classifier-Based Clustering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xianghai Cao, Bin Wu, Dacheng Tao, Licheng Jiao
2016 J jnl
Supervised Band Selection Using Local Spatial Information for Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett.
Xianghai Cao, Tao Xiong, Licheng Jiao