[3] Y. Wang, R. Niu, L. Zhang, and H. Shen, “Region-based Adaptive Anisotropic Diffusion for Image Enhancement and Denoising,” Optical Engineering, vol. 49, no. 11, pp. 117007(1-19), 2010. PDF
[2] H. Shen, C. Zhou, J. Li, & Q. Yuan, “SAR Image Despeckling Employing a Recursive Deep CNN Prior,” IEEE Transactions on Geoscience and Remote Sensing, 2020. PDF
[1] W. He, H. Zhang, H. Shen, and L. Zhang, “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 11, no. 3, pp. 713-729, 2018. PDF
[3] 李慧芳, 沈焕锋, 张良培, 李平湘, “一种基于变分Retinex的遥感影像不均匀性校正方法,” 测绘学报, vol. 9, no. 6, pp. 585-591, 2010. PDF
[2] H. Shen, X. Li, L. Zhang, D. Tao, C. Zeng, “Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse Bayesian Dictionary Learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 894-906, 2014. PDF
[1] W. He, H. Zhang, H. Shen, and L. Zhang, “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 11, no. 3, pp. 713-729, 2018. PDF
[3] Y. Wang, R. Niu, L. Zhang, and H. Shen, “Region-based Adaptive Anisotropic Diffusion for Image Enhancement and Denoising,” Optical Engineering, vol. 49, no. 11, pp. 117007(1-19), 2010. PDF
[2] H. Shen, C. Zhou, J. Li, & Q. Yuan, “SAR Image Despeckling Employing a Recursive Deep CNN Prior,” IEEE Transactions on Geoscience and Remote Sensing, 2020. PDF
[1] W. He, H. Zhang, H. Shen, and L. Zhang, “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 11, no. 3, pp. 713-729, 2018. PDF
[3] Y. Wang, R. Niu, L. Zhang, and H. Shen, “Region-based Adaptive Anisotropic Diffusion for Image Enhancement and Denoising,” Optical Engineering, vol. 49, no. 11, pp. 117007(1-19), 2010. PDF
[2] H. Shen, C. Zhou, J. Li, & Q. Yuan, “SAR Image Despeckling Employing a Recursive Deep CNN Prior,” IEEE Transactions on Geoscience and Remote Sensing, 2020. PDF
[1] W. He, H. Zhang, H. Shen, and L. Zhang, “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 11, no. 3, pp. 713-729, 2018. PDF
[3] 李慧芳, 沈焕锋, 张良培, 李平湘, “一种基于变分Retinex的遥感影像不均匀性校正方法,” 测绘学报, vol. 9, no. 6, pp. 585-591, 2010. PDF
[2] H. Shen, X. Li, L. Zhang, D. Tao, C. Zeng, “Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse Bayesian Dictionary Learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 894-906, 2014. PDF
[1] W. He, H. Zhang, H. Shen, and L. Zhang, “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 11, no. 3, pp. 713-729, 2018. PDF
[3] Y. Wang, R. Niu, L. Zhang, and H. Shen, “Region-based Adaptive Anisotropic Diffusion for Image Enhancement and Denoising,” Optical Engineering, vol. 49, no. 11, pp. 117007(1-19), 2010. PDF
[2] H. Shen, C. Zhou, J. Li, & Q. Yuan, “SAR Image Despeckling Employing a Recursive Deep CNN Prior,” IEEE Transactions on Geoscience and Remote Sensing, 2020. PDF
[1] W. He, H. Zhang, H. Shen, and L. Zhang, “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 11, no. 3, pp. 713-729, 2018. PDF