代表性成果
出版著作2部,在国内外发表/录用科研论文130余篇,SCI论文75篇,获批国家发明专利6项。
专著:
1. 沈焕锋,钟燕飞,王毅等,ENVI遥感影像处理教程,武汉:武汉大学出版社,2009.
2. 张良培,沈焕锋,张洪艳,袁强强,图像超分辨率重建,北京:科学出版社,2012.
国际期刊论文:
[1] J. Li, Q. Yuan, H. Shen, X. Meng, and L. Zhang, “Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial-Spectral Group Sparsity,” IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2016.2579661.
[2] L. Yue, H. Shen, J. Li, Q. Yuan, H. Zhang, and L. Zhang, “Image super-resolution: The techniques, applications, and future,” Signal Processing, DOI:10.1016/j.sigpro.2016.05.002.
[3] X. Li, H. Shen, H. Li, and L. Zhang, “Patch Matching-Based Multitemporal Group Sparse Representation for the Missing Information Reconstruction of Remote-Sensing Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI:10.1109/JSTARS.2016.2533547.
[4] C. Jiang, H. Zhang, L. Zhang, H. Shen, and Q. Yuan, “Hyperspectral Image Denoising with a Combined Spatial and Spectral Weighted Hyperspectral Total Variation Model,” Canadian Journal of Remote Sensing, vol. 42, no. 1, pp. 53-72, 2016.
[5] X. Ma, H. Shen, X. Zhao, and L. Zhang, “SAR Image Despeckling by the Use of Variational Methods With Adaptive Nonlocal Functionals,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 6, pp. 3421-3435, 2016.
[6] X. Liu, X. Lu, H. Shen, Q. Yuan, Y. Jiao, L. Zhang, "Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 3049-3060, 2016.
[7] H. Shen, L. Peng, L. Yue, Q. Yuan, and L. Zhang, “Adaptive Norm Selection for Regularized Image Restoration and Super-Resolution,” IEEE Transactions on Cybernetics, vol. 46, no. 6, pp. 1388-1399, 2016.
[8] H. Li, X. Wang, H. Shen, Q. Yuan, and L. Zhang, “An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images,” International Journal of Remote Sensing, vol. 37, no. 5, pp. 1154-1172, 2016.
[9] W. Zhai, H. Shen, C. Huang, and W. Pei, “Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image,” Remote Sensing, vol. 8, no. 3, pp. 171, 2016.
[10] X. Lan, Z. Zuo, H. Shen, L. Zhang, and J. Hu, “Framelet-based sparse regularization for uneven intensity correction of remote sensing images in a retinex variational framework,” Optik - International Journal for Light and Electron Optics, vol. 127, no. 3, pp. 1184-1189, 2016.
[11] H. Shen, L. Huang, L. Zhang, P. Wu, and C. Zeng, “Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China,” Remote Sensing of Environment, vol. 172, pp. 109-125, 2016.
[12] W. Zhai, H. Shen, C. Huang, and W. Pei, “Fusion of polarimetric and texture information for urban building extraction from fully polarimetric SAR imagery,” Remote Sensing Letters, vol. 7, no. 1, pp. 31-40, 2016.
[13] W. He, H. Zhang, L. Zhang, and H. Shen, “Total Variation Regularized Low-rank Matrix Factorization for Hyperspectral Image Restoration,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 1, pp. 178-188, 2016.
[14] J. Li, H. Zhang, M. Guo, L. Zhang, H. Shen, and Q. Du, “Urban Classification by the Fusion of Thermal Infrared Hyperspectral and Visible Data,” Photogrammetric Engineering & Remote Sensing, vol. 81, no. 12, pp. 901-911, 2015.
[15] W. Chen, C. Huang, H. Shen, and X. Li, “Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation,” Advances in Water Resources, vol. 86, pp. 425-438, 2015.
[16] F. Lei, W. T. Crow, H. Shen, R. M. Parinussa, and T. R. H. Holmes, “The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States,” Remote Sensing, vol. 7, no. 10, pp. 13448-13465, 2015.
[17] L. Yue, H. Shen, Q. Yuan, and L. Zhang, “Fusion of Multi-scale DEMs using Regularized Super-resolution Methods,” International Journal of Geographical Information Science, vol. 29, no. 12, pp. 2095-2120, 2015.
[18] X. Li, N. Hui, H. Shen, Y. Fu, and L. Zhang, “A robust mosaicking procedure for high spatial resolution remote sensing images,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 109, pp. 108-125, 2015.
[19] H. Shen, X. Li, Q. Cheng, C. Zeng, G. Yang, H. Li, and L. Zhang, “Missing Information Reconstruction of Remote Sensing Data: A Technical Review,” IEEE Geoscience and Remote Sensing Magazine, vol. 3, no. 3, pp. 61-85, 2015.
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