所有论文[Google Scholar]

部分发表论文（*通讯）

2024年：

[1]  Li Pang⁺, Xiangyu Rui⁺, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao^*.  HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models. IEEE  Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (⁺co-first author) [code]

[2]  Xiangyu Rui, Xiangyong Cao^*, Li Pang, Zongsheng Yue, Deyu Meng*.  Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Models. Information Fusion, 2024.  [code] 

[3]  Kaiyu Li, Xiangyong Cao^*, Deyu Meng.  A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection.  IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2024.  [code] 

[4]  Jiangjun Peng⁺, Hailin Wang⁺, Xiangyong Cao^*, Qian Zhao, Jing Yao, Hongying Zhang, Deyu Meng*.  Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2024. (⁺co-first author) [code] 

2023年：

[1]  Yang Chen, Wenfei Cao, Li Pang, Jiangjun Peng, Xiangyong Cao^*.  Hyperspectral Image Denoising via Texture-preserved Total Variation Regularizer. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2023.  [code] 

[2]  Zeyu Zhu, Xiangyong Cao^*, Man Zhou, Junhao Huang, Deyu Meng.  Probability-based Global Cross-modal Upsampling for Pansharpening. IEEE  Conference on Computer Vision and Pattern Recognition (CVPR), 2023.  [code] 

[3]  Gang Yang, Xiangyong Cao^*, Wenzhe Xiao, Man Zhou, Aiping Liu*, Xun Chen, Deyu Meng.  PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.  IEEE International Conference on Computer Vision (ICCV), 2023. [code] 

2022年：

[1]  Jiangjun Peng⁺, Hailin Wang⁺, Xiangyong Cao^*,Xinling Liu, Xiangyu Rui, Deyu Meng*.  Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2022.  (⁺co-first author)  [code]

[2]  Shuang Xu, Xiangyong Cao^*, Jiangjun Peng, Qiao Ke, Cong Ma, Deyu Meng.  Hyperspectral Image Denoising by Asymmetric Noise Modeling. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2022.   [code]

[3]  Yang Chen, Wenfei Cao, Li Pang, Xiangyong Cao^*.  Hyperspectral Image Denoising with Weighted Nonlocal Low-rank Model and Adaptive Total Variation Regularization. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2022.  

[4]  Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao^*.  Memory-augmented Deep Unfolding Network for Guided Image Super-resolution. International Journal of Computer Vision (IJCV), 2022. 

[5] Xiangyong Cao^*, Yang Chen, Wenfei Cao.  Proximal PanNet: A Model-based Deep Network for Pansharpening.  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.  [code]

2021年：

[1]  Xiangyong Cao, Xueyang Fu, Danfeng Hong, Zongben Xu, Deyu Meng*.  PanCSC-Net: A model-driven deep unfolding method for pansharpening. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2021.   [code] 

[2]  Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng.  Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise. IEEE  Conference on Computer Vision and Pattern Recognition (CVPR), 2021.   [code] 

[3]  Xiangyong Cao⁺, Xueyang Fu⁺, Chen Xu, Deyu Meng. Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2021.  (⁺co-first author)   [code] 

[4]  Xueyang Fu, Mengu Wang, Xiangyong Cao^*, Xinghao Ding, Zhengjun Zha. A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE  Transactions on Neural Networks and Learning Systems (TNNLS), 2021.   [code] 

[5] Minghan Li,  Xiangyong Cao, Qian Zhao, Lei Zhang, Deyu Meng.  Online Rain/Snow Removal from Surveillance Videos. IEEE  Transactions on Image Processing (TIP), 2021.    [code] 

2020年：

[1]  Haixia Bi, Lin Xu, Xiangyong Cao, Yu Xue, Zongben Xu.  Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. IEEE  Transactions on Image Processing (TIP), 2020. 

[2]  Xueyang Fu, Xiangyong Cao^*. Underwater image enhancement with global-local networks and compressed-histogram equalization. Signal Processing: Image Communication, 2020.  [code] 

[3]  Xiangyong Cao, Jing Yao, Xueyang Fu, Haixia Bi, Danfeng Hong. An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2020.  (ESI高被引)  

[4]  Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng. Hyperspectral image classification with convolutional neural network and active learning. IEEE  Transactions on Geoscience and Remote Sensing (TGRS), 2020. (ESI高被引)  [code] 

[5]  Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li. New Interpretations of Normalization Methods in Deep Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.   

2019之前：

[1]  Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley. Hyperspectral image classification with Markov random fields and a convolutional neural network. IEEE  Transactions on Image Processing (TIP), 2018. (ESI高被引)  [code] 

[2] Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu. Denoising hyperspectral image with non-iid noise structure. IEEE  Transactions on Cybernetics (TC), 2017.  [code] 

[3]  Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu. Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. IEEE  Transactions on Image Processing (TIP), 2016. 

[4]  Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu. Low-rank matrix factorization under general mixture noise distributions.  IEEE International Conference on Computer Vision (ICCV), 2015.  (Oral)  [code]