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2020 – today
- 2024
[j37]Jingjing Cai
, Minghao He, Xianghai Cao, Fengming Gan:
Semisupervised Radar Intrapulse Signal Modulation Classification With Virtual Adversarial Training. IEEE Internet Things J. 11(6): 9929-9940 (2024)- [j36]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: 112044 (2024) - [j35]Jingjing Cai, Yicheng Guo, Xianghai Cao:
Automatic Radar Intra-Pulse Signal Modulation Classification Using the Supervised Contrastive Learning. Remote. Sens. 16(18): 3542 (2024) - [j34]Xianghai Cao, Jiayu Yu, Ruijie Xu, Jiaxuan Wei, Licheng Jiao:
Mask-Enhanced Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j33]Xianghai Cao, Chenguang Li, Jie Feng, Licheng Jiao:
Semi-supervised feature learning for disjoint hyperspectral imagery classification. Neurocomputing 526: 9-18 (2023) - [j32]Xianghai Cao, Kai Zhang, Licheng Jiao:
CSANet: Cross-Scale Axial Attention Network for Road Segmentation. Remote. Sens. 15(1): 3 (2023) - [j31]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: 1-15 (2023) - [j30]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: 1-12 (2023) - [i1]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 abs/2312.13127 (2023) - 2022
- [j29]Jin Zhao, Zixuan Ba, Xianghai Cao, Jie Feng, Licheng Jiao:
Deep Mutual-Teaching for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j28]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): 2612 (2022) - [j27]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): 4910 (2022) - [j26]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): 5167 (2022) - [j25]Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu, Peng Li:
Radar Intra-Pulse Signal Modulation Classification with Contrastive Learning. Remote. Sens. 14(22): 5728 (2022) - [j24]Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu:
Signal Modulation Classification Based on the Transformer Network. IEEE Trans. Cogn. Commun. Netw. 8(3): 1348-1357 (2022) - [j23]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: 1-14 (2022) - [j22]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: 1-19 (2022) - [j21]Sikang Hou, Hongye Shi, Xianghai Cao, Xiaohua Zhang, Licheng Jiao:
Hyperspectral Imagery Classification Based on Contrastive Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c1]Chen Xiaoyue, Xianghai Cao:
Hyperspectral Image Classification Based on Co-Learning Through Dual-Architecture Ensemble. ICASSP 2022: 2804-2808 - 2021
- [j20]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): 4414-4428 (2021) - 2020
- [j19]Xianghai Cao, Meiru Ren, Jing Zhao, Hongxia Lu, Licheng Jiao:
Non-overlapping classification of hyperspectral imagery based on set-to-sets distance. Neurocomputing 378: 422-434 (2020) - [j18]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): 1583-1587 (2020) - [j17]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): 1149 (2020)
2010 – 2019
- 2019
- [j16]Xianghai Cao, Hongxia Lu, Meiru Ren, Licheng Jiao:
Non-overlapping classification of hyperspectral imagery with superpixel segmentation. Appl. Soft Comput. 83 (2019) - [j15]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): 1509-1515 (2019) - [j14]Xianghai Cao, Yiming Ge, Renjie Li, Jing Zhao, Licheng Jiao:
Hyperspectral imagery classification with deep metric learning. Neurocomputing 356: 217-227 (2019) - [j13]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): 1105-1109 (2019) - [j12]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): 1289-1298 (2019) - [j11]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): 1299-1313 (2019) - [j10]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): 4861-4872 (2019) - [j9]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): 5329-5343 (2019) - 2018
- [j8]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): 555-564 (2018) - [j7]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): 3297-3311 (2018) - [j6]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): 3880-3891 (2018) - 2017
- [j5]Xianghai Cao, Cuicui Wei, Jungong Han, Licheng Jiao:
Hyperspectral Band Selection Using Improved Classification Map. IEEE Geosci. Remote. Sens. Lett. 14(11): 2147-2151 (2017) - [j4]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): 4141-4156 (2017) - [j3]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): 5585-5599 (2017) - 2016
- [j2]Xianghai Cao, Tao Xiong, Licheng Jiao:
Supervised Band Selection Using Local Spatial Information for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 13(3): 329-333 (2016) - [j1]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): 4352-4360 (2016)
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