| HSI-DeNet: hyperspectral image restoration via convolutional neural network Y Chang, L Yan, H Fang, S Zhong, W Liao IEEE Transacations on Geoscience and Remote Sensing, 2019 | 274 | 2019 |
| Anisotropic spectral-spatial total variation model for multispectral remote sensing image destriping Y Chang, L Yan, H Fang, C Luo IEEE Transactions on Image Processing 24 (6), 1852-1866, 2015 | 234 | 2015 |
| Remote sensing image stripe noise removal: From image decomposition perspective Y Chang, L Yan, T Wu, S Zhong IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7018-7031, 2016 | 229 | 2016 |
| Hyper-Laplacian regularized unidirectional low-rank tensor recovery for multispectral image denoising Y Chang, L Yan, S Zhong Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 217 | 2017 |
| Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration Y Chang, L Yan, X Zhao, H Fang, Z Zhang, S Zhong IEEE Trans. on Cybernetics, 2020 | 203 | 2020 |
| Transformed low-rank model for line pattern noise removal Y Chang, L Yan, S Zhong Proceedings of the IEEE International Conference on Computer Vision, 1726-1734, 2017 | 168 | 2017 |
| Image restoration for remote sensing: Overview and toolbox B Rasti, Y Chang, E Dalsasso, L Denis, P Ghamisi IEEE Geoscience and Remote Sensing Magazine, 2021 | 120 | 2021 |
| Simultaneous destriping and denoising for remote sensing images with unidirectional total variation and sparse representation Y Chang, L Yan, H Fang, H Liu IEEE Geoscience and Remote Sensing Letters 11 (6), 1051-1055, 2014 | 118 | 2014 |
| Spectral deconvolution and feature extraction with robust adaptive Tikhonov regularization H Liu, L Yan, Y Chang, H Fang, T Zhang IEEE Transactions on Instrumentation and Measurement 62 (2), 315-327, 2012 | 114 | 2012 |
| Event-based Video Reconstruction via Potential-assisted Spiking Neural Network L Zhu, X Wang, Y Chang, J Li, T Huang, Y Tian IEEE Computer Vision and Pattern Recognition (CVPR), 2022 | 109 | 2022 |
| Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation Y Ye, Y Chang, H Zhou, L Yan Proceeding of the IEEE Computer Vision and Pattern Recognition, 2021 | 104 | 2021 |
| Two-stage convolutional neural network for medical noise removal via image decomposition Y Chang, L Yan, M Chen, H Fang, S Zhong IEEE Transactions on Instrumentation and Measurement 69 (6), 2707-2721, 2019 | 89 | 2019 |
| Toward Universal Stripe Removal Via Wavelet-based Deep Convolutional Neural Network Y Chang, M Chen, L Yan, X Zhao, Y Li, S Zhong IEEE Trans. on Geoscience and Remote Sensing, 2020 | 86 | 2020 |
| Robust destriping method with unidirectional total variation and framelet regularization Y Chang, H Fang, L Yan, H Liu Optics Express 21 (20), 23307-23323, 2013 | 83 | 2013 |
| Rain streaks removal for single image via kernel-guided convolutional neural network YT Wang, XL Zhao, TX Jiang, LJ Deng, Y Chang, TZ Huang IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3664-3676, 2020 | 74 | 2020 |
| Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity Y Ye, C Yu, Y Chang, L Zhu, X Zhao, L Yan, Y Tian IEEE Computer Vision and Pattern Recognition (CVPR), 2022 | 73 | 2022 |
| Infrared small UAV target detection based on residual image prediction via global and local dilated residual networks H Fang, M Xia, G Zhou, Y Chang, L Yan IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 71 | 2021 |
| A MAP-based algorithm for spectroscopic semi-blind deconvolution H Liu, T Zhang, L Yan, H Fang, Y Chang Analyst 137 (16), 3862-3873, 2012 | 69 | 2012 |
| Hyperspectral image restoration: Where does the low-rank property exist Y Chang, L Yan, B Chen, S Zhong, Y Tian IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6869-6884, 2020 | 68 | 2020 |
| Infrared aerothermal nonuniform correction via deep multiscale residual network Y Chang, L Yan, L Liu, H Fang, S Zhong IEEE Geoscience and Remote Sensing Letters 16 (7), 1120-1124, 2019 | 61 | 2019 |
Houzhang FangSchool of Computer Science and Technology, Xidian University在 xidian.edu.cn 的电子邮件经过验证