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Hong-Xia Dou
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2020 – today
- 2025
- [j14]Cheng-Wei Sun, Ting-Zhu Huang, Hong-Xia Dou, Ting Xu, Liang-Jian Deng:
A fast Lanczos-based hierarchical algorithm for tensor ring decomposition. Signal Process. 227: 109705 (2025) - 2024
- [j13]Hong-Xia Dou, Miao-Miao Zhang, Rui Wen, Yong Chen, Jun Liu, Liang-Jian Deng:
Remote Sensing Image Destriping by an ℓ₀-Based Nonconvex Model With Overlapping Group Sparse Hyper-Laplacian Prior. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j12]Wenjie Shu, Hong-Xia Dou, Rui Wen, Xiao Wu, Liang-Jian Deng:
CMT: Cross Modulation Transformer With Hybrid Loss for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j11]RuoCheng Wu, Shangqi Deng, Ran Ran, Hong-Xia Dou, Liang-Jian Deng:
INF3: Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion. IEEE Trans. Computational Imaging 10: 1547-1558 (2024) - [i1]Wenjie Shu, Hong-Xia Dou, Rui Wen, Xiao Wu, Liang-Jian Deng:
CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening. CoRR abs/2404.01121 (2024) - 2023
- [j10]Hong-Xia Dou, Zhong-Cheng Wu, Yu-Wei Zhuo, Liang-Jian Deng, Gemine Vivone:
Dynamical Fusion Model With Joint Variational and Deep Priors for Hyperspectral Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - 2022
- [j9]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Danfeng Hong, Gemine Vivone:
Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j8]Hong-Xia Dou, Xiao-Miao Pan, Chao Wang, Hao-Zhen Shen, Liang-Jian Deng:
Spatial and Spectral-Channel Attention Network for Denoising on Hyperspectral Remote Sensing Image. Remote. Sens. 14(14): 3338 (2022) - [j7]Hong-Xia Dou, Xing-Shun Lu, Chao Wang, Hao-Zhen Shen, Yu-Wei Zhuo, Liang-Jian Deng:
PatchMask: A Data Augmentation Strategy with Gaussian Noise in Hyperspectral Images. Remote. Sens. 14(24): 6308 (2022) - [j6]Yu-Wei Zhuo, Tian-Jing Zhang, Jin-Fan Hu, Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng:
A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7539-7555 (2022) - [c5]Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Deyu Meng:
Tensor Wheel Decomposition and Its Tensor Completion Application. NeurIPS 2022 - 2021
- [j5]Hong-Xia Dou, Liang-Jian Deng:
A Proximal Algorithm with Convergence Guarantee for a Nonconvex Minimization Problem Based on Reproducing Kernel Hilbert Space. Symmetry 13(12): 2393 (2021) - 2020
- [j4]Hong-Xia Dou, Ting-Zhu Huang, Xi-Le Zhao, Jie Huang, Jun Liu:
Semi-blind image deblurring by a proximal alternating minimization method with convergence guarantees. Appl. Math. Comput. 377: 125168 (2020)
2010 – 2019
- 2019
- [j3]Jin-Ju Wang, Ting-Zhu Huang, Jie Huang, Hong-Xia Dou, Liang-Jian Deng, Xi-Le Zhao:
Row-Sparsity Spectral Unmixing via Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 5009-5022 (2019) - [c4]Ziyao Zhang, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, Hong-Xia Dou:
Pan-Sharpening Via RoG-Based Filtering. IGARSS 2019: 2790-2793 - [c3]Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Ziyao Zhang:
Unidirectional Sparse Tensor Based Model for the Noise Removal of Remote Sensing Image. IGARSS 2019: 2894-2897 - 2018
- [j2]Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang:
Directional ℓ0 Sparse Modeling for Image Stripe Noise Removal. Remote. Sens. 10(3): 361 (2018) - 2017
- [j1]Hong-Xia Dou, Hou-Biao Li, Qingyu Fan, Yicheng Chen:
Signal Restoration Combining Modified Tikhonov Regularization and Preconditioning Technology. IEEE Access 5: 24275-24283 (2017) - [c2]Chao-Chao Zheng, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Hong-Xia Dou:
Image fusion via dynamic gradient sparsity and anisotropic spectral-spatial total variation. ICIP 2017: 1452-1456 - [c1]Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Yong Chen:
Stripe noise removal of remote sensing image with a directional l0 sparse model. ICIP 2017: 3505-3509
Coauthor Index
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