| HSI-DeNet: Hyperspectral image restoration via convolutional neural network Y Chang, L Yan, H Fang, S Zhong, W Liao IEEE Transactions on Geoscience and Remote Sensing 57 (2), 667-682, 2018 | 249 | 2018 |
| 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 | 214 | 2015 |
| Weighted low-rank tensor recovery for hyperspectral image restoration Y Chang, L Yan, XL Zhao, H Fang, Z Zhang, S Zhong IEEE transactions on cybernetics 50 (11), 4558-4572, 2020 | 188 | 2020 |
| 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, 2013 | 111 | 2013 |
| 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 61 (11), 315-327, 2013 | 108 | 2013 |
| Robust destriping method with unidirectional total variation and framelet regularization H Fang*, Y Chang*, L Yan, HLIE Contribution) Optics Express 21 (60), 23307-23323, 2013 | 80 | 2013 |
| 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 | 77 | 2019 |
| Blind image deconvolution with spatially adaptive total variation regularization L Yan, H Fang, S Zhong Optics letters 37 (14), 2778-2780, 2012 | 75 | 2012 |
| 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 | 65 | 2012 |
| Semi-blind spectral deconvolution with adaptive Tikhonov regularization L Yan, H Liu, S Zhong, H Fang Applied spectroscopy 66 (11), 1334-1346, 2012 | 62 | 2012 |
| 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, 2022 | 52 | 2022 |
| A reliability estimation approach via Wiener degradation model with measurement errors D Pan, Y Wei, H Fang, W Yang Applied Mathematics and Computation 320, 131-141, 2018 | 51 | 2018 |
| 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 | 48 | 2019 |
| Atmospheric-turbulence-degraded astronomical image restoration by minimizing second-order central moment L Yan, M Jin, H Fang, H Liu, T Zhang IEEE Geoscience and Remote Sensing Letters 9 (4), 672-676, 2012 | 43 | 2012 |
| One non-standard nonhomogeneous heat equation: identification and regularization for the inhomogeneous term X Chen, H Fang*, YHC author) Science Press, 2011 | 43* | 2011 |
| Blind Poissonian images deconvolution with framelet regularization H Fang, L Yan, H Liu, Y Chang Optics letters 38 (4), 389-391, 2013 | 37 | 2013 |
| Removal of stripe noise with spatially adaptive unidirectional total variation G Zhou, H Fang, L Yan, T Zhang, J Hu Optik 125 (12), 2756-2762, 2014 | 35 | 2014 |
| Simultaneous intensity bias estimation and stripe noise removal in infrared images using the global and local sparsity constraints L Liu, L Xu, H Fang IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1777-1789, 2019 | 28 | 2019 |
| Infrared small UAV target detection based on depthwise separable residual dense network and multiscale feature fusion H Fang, L Ding, L Wang, Y Chang, L Yan, J Han IEEE Transactions on Instrumentation and Measurement 71, 1-20, 2022 | 23 | 2022 |
| Robust destriping of MODIS and hyperspectral data using a hybrid unidirectional total variation model G Zhou, H Fang, C Lu, S Wang, Z Zuo, J Hu Optik 126 (7-8), 838-845, 2015 | 23 | 2015 |
Yi Chang（昌毅）School of Artificial Intelligence and Automation, Huazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
