标题：沈焕锋
个人介绍
沈焕锋，男，博士，教授，湖北省杰出青年基金获得者，入选教育部“新世纪优秀人才支持计划”、武汉市“黄鹤英才计划”，武汉大学第一批“珞珈青年学者”。2007年7月毕业于武汉大学测绘遥感信息工程国家重点实验室，获摄影测量与遥感专业工学博士学位。2006年3月至2007年3月于香港浸会大学数学系任研究助理；2007年7月到武汉大学资源与环境科学学院工作，任讲师；2008年11月破格晋升为副教授；2011年11月破格晋升为教授。先后主持国家自然科学基金3项、973专题1项、湖北省自然科学基金2项，并参与多个973、863、总参等方面的科研项目。在国内外发表/录用科研论文60余篇，其中包括国际图像处理、遥感领域权威期刊“IEEE Transactions on Image Processing”、“IEEE Transactions on Geoscience and Remote Sensing”在内的SCI论文20余篇，单篇论文被引用118次。担任10余个国际期刊的特约审稿员。
研究方向
影像质量改善
多源数据融合与同化
遥感应用与全球变化
科研项目
1. 国家自然科学基金：遥感影像大范围地表信息缺失区域的修复理论与方法研究（41271376）。时间：2013.1 -2016.12月。职责：课题组长。2. 国家高技术研究发展计划（863）：星机地综合观测定量遥感融合处理与共性产品生产系统。时间：2013.1 -2015.12月。职责：课题第二负责人。3. 国家自然科学基金：多时空谱遥感影像序列的一体化融合理论与方法研究（40971220）。时间：2010.1 -2012.12月。职责：课题组长。4. 国家重点基础研究发展计划（973）：空间观测全球变化敏感因子的机理与方法（2009CB723900）。时间：2009.1 -2013.12月。职责：课题副组长、专题组长。5. 国家自然科学基金：基于多时相遥感影像的超分辨率重建方法（40801182）。时间：2009.1 -2011.12月。职责：课题组长。6. 国家重点基础研究发展计划（973）：空天地一体化对地观测传感网的理论与方法（2011CB707100）。时间：2011.1 -2015.12月。职责：研究骨干。7. 国家高技术研究发展计划（863）：遥感软件体系架构及标准规范研究（2007AA120203）。时间：2008.1 -2010.12月。职责：研究骨干。8. 国家测绘局西部测图项目：多波段多极化SAR影像地物提取与解译系统。时间：2009.1 -2009.12。职责：研究骨干。
出版著作
1. 沈焕锋, 钟燕飞, 王毅等, ENVI遥感影像处理教程. 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，科学出版社，2012（出版中）.
学术论文
国际期刊论文：
[1] C. Zeng, H. Shen, L. Zhang "Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method," Remote Sensing of Environment, doi:10.1016/j.rse.2012.12.012.，2013.
[2] H. Shen, L. Zhang, B. Huang, P. Li, "A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution,"IEEE Transactions on Image Processing, vol. 16, no. 2, pp. 479-490, 2007.
[3] Q. Yuan, L. Zhang, H. Shen, P. Li, "Adaptive Multiple-Frame Image Super-resolution Based on U-curve,"IEEE Transactions on Image Processing, vol. 19, no. 12, pp. 3157-3170, 2010.
[4] L. Zhang, H. Shen, W. Gong, and H. Zhang, "Adjustable Model-Based Fusion Method for Multispectral and Panchromatic Images,"IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 42, no. 6, pp. 1693-1704 , 2012 .
[5] H. Shen, L. Zhang,"A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images,"IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 5, pp. 1492-1502, 2009.
[6] Q. Yuan, L. Zhang, and H. Shen, "Hyperspectral Image Denoising Employing a Spectral-spatial Adaptive Total Variation Model,"IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 10, pp. 3660-3677, 2012.
[7] H. Li, L. Zhang, H. Shen, and P. Li, "A Perceptually Inspired Variational Method for Uneven Intensity Correction of Remote Sensing Images,"IEEE Transactions on Geoscience and Remote Sensing,vol. 22, no. 8, pp. 3053-3065, 2012.
[8] H. Li, L. Zhang, H. Shen, "An Adaptive Non-Local Regularized Shadow Removal Method for Aerial Remote Sensing Images,"IEEE Transactions on Geoscience and Remote Sensing, to appear.
[9] H. Shen et. al, "Universal Reconstruction Method for Quality Improvement of Remote Sensing Images,"International Journal of Applied Earth Observation and Geoinformation, vol. 12, no. 4, pp. 278-286, 2010 .
[10]Q. Yuan, L. Zhang, and H. Shen, "Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model,"IEEE Transactions On Circuits And Systems For Video Technology, vol. 22, no. 3, pp. 379-392, 2012.
[11]L. Zhang, Q. Yuan, H. Shen, and P. Li, "Mutiframe Image Super-resolution Adapted with Local Spatial Information,"Journal of the Optical Society ofAmericaA, vol. 28, no.3, 381-390, 2011.
[12]H. Shen, C. Zeng, and L. Zhang, "Recovering Reflectance of AQUA MODIS Band 6 Based on Within-Class Local Fitting,"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.4, no.1,185-192, 2011.
[13]H. Shen, L. Du, L. Zhang, and W. Gong, "A Blind Restoration Method for Remote Sensing Images,"IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 6, pp. 1137-1141, 2012. 
[14]C. Jiang, H. Zhang, H. Shen, and L. Zhang, "A Practical Compressed Sensing-Based Pan-Sharpening Method,"IEEE Geoscience and Remote Sensing Letters,vol. 9, no. 4, pp. 629-633, 2012.
[15]H. Shen, M. K. Ng, P. Li, L. Zhang, "Super Resolution Reconstruction Algorithm to MODIS Remote Sensing Images,"The Computer Journal, vol. 52, no. 1, pp. 90-100, 2009 (The Computer Journal Advance Access originally published online on June 24, 2007.
[16]H. Li, L. Zhang, and H. Shen, "A Variational Gradient-based Fusion Method for Visible and SWIR Imagery,"Photogrammetric Engineering and Remote Sensing, vol. 78, no. 9, pp. 947-958 , 2012.
[17]B. Wu, X. Wang, H. Shen, and X. Zhou, "Feature Selection Based on Max-min-associated Indices for Classification of Remotely Sensed Imagery,"International Journal of Remote Sensing,vol.33, no.17, 5492-5512, 2012.
[18]H. Shen, P. Wu, "Spatial and Temporal Reflectance Fusion Model Considering Sensor Observation Differences,"International Journal of Remote Sensing, to appear.
[19]M. K. Ng, H. Shen, L. Zhang, E. Lam, " A Total Variation regularization Based Super-Resolution Reconstruction Algorithm for Digital Video,"EURASIP Journal on Advances in Signal Processing, vol. 2007, no. Article ID 74585, pp.1-16, 2007.
[20]H. Zhang, L. Zhang, H. Shen, " A Super-resolution Reconstruction Algorithm for Hyperspectral Images,"Signal Processing, vol. 92, no. 9, 2082-2096,2012.
[21]L. Zhang, H. Zhang, H. Shen, and P. Li, "A Super-resolution Reconstruction Algorithm for Surveillance Images,"Signal Processing, vol. 90, no.3, 848-859, 2010.
[22]M. K. Ng, H. Shen, S. Chaudhuri, A. C. Yau, "Zoom-based super-resolution reconstruction approach using prior total variation,"Optical Engineering, vol. 46, no. 12, pp. 127003, 2007.
[23]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, 117007-117007-19, 2010.
[24]Y. Wang, R. Niu, X. Yu, and H. Shen, "Image Restoration and Enhancement Based on Tunable Forward-and-Backward Diffusion,"Optical Engineering, vol. 49, no.5, pp. 057004-20, 2010.
国际会议论文
[1] Q. Yuan, H. Shen, L. Zhang, X. Lan, "Hypspectral image denoising with a multi-view fusion strategy ",The 4th Workshop on Hyperspectral Image and Signal Processing,Shanghai,China, 2012.
[2] L. Zhang, et al., "Research on image reconstruction based and pixel unmixing based sub-pixel mapping methods "IEEE International Geoscience and Remote SensingSymposium(IGARSS), 2012.
[3] H. Shen, "Integrated Fusion Method For Multiple Temporal-Spatial-Spectral Images,"The XXII Congress of International Society for Photogrammetry and Remote Sensing,Melbourne,Australia, 2012.
[25]X. Li, H. Shen, C. Zeng, P. Wu, "Restoring Aqua Modis Band 6 By Other Spectral Bands Using Compressed Sensing Theory",The 4th Workshop on Hyperspectral Image and Signal Processing, Shanghai, China, 2012
[4] Q. Wang, Y. Xu, Q. Yuan, R. Wang, H. Shen, Y. Wang, "Restoration of CBERS-02B Remote Sensing Image Based on Knife-edge PSF Estimation and Regularization Reconstruction Model,"International Conference on Digital Signal Processing and Communications Engineering, 2011.
[5] R. Wang, C. Zeng, P. Li, and H. Shen, "Terra MODIS Band 5 Stripe Noise Detection and Correction Using MAP-Based Algorithm,"The International Conference on Remote Sensing,Environment and Transportation Engineering, Nanjing,China, 2011.
[6] H. Zhang, L. Zhang, H. Shen, P. Li, "A MAP Approach for Joint Image Registration, Blur Identification and Super Resolution,"International Conference on Image and Graphics, Xian,China, 2009.
[7] Y. Zhong, L. Zhang, P. Li, H. Shen, "A sub-pixel mapping algorithm based on artificial immune systems for remote sensing imagery,"IEEE International Geoscience and Remote Sensing Symposium, 2009.
[8] Y. Wang, R. Niu, H. Shen, X. Yu, "Forward-and-Backward Diffusion for Hyperspectral Remote Sensing Image Smoothing and Enhancement,"The International Conference on Earth Observation Data Processsing and Analysis,Wuhan,China, 2008.
[9] H. Shen, T. Aia, P. Li, Y. Wang, "Improving the Quality of Remote Sensing Images Using a Universal Reconstruction Method,"The International Conference on Earth Observation Data Processsing and Analysis,Wuhan,China, 2008.
[10]H. Shen, T. Ai, P. Li, "Destriping and Inpainting of Remote Sensing Image Using Maximum A-Posteriori Method,"XXI Congress International Society for Photogrammetry and Remote Sensing, Beijing China, 2008
[11]P. Li, J. Zhang, H. Shen, L. Zhang, "A Super Resolution Reconstruction Algorithm to Multi-Temporal Remote Sensing Images,"The International Conference “Mapping Without The Sun —Techniques and Applications of Optical and SAR Imagery Fusion”,Chengdu, China, 2007.
[12]H. Shen, P. Li, L. Zhang., Y. Zhao "A MAP Algorithm to Super-Resolution Image Reconstruction,"The Third International Conference on Image and Graphics, Hong kong, 2004.
[13]P. Li, H. Shen, L. Zhang, "A Method of Image Resolution Enhancement Based on the Matching Technique,"The 20th ISPRS Proceedings, Vol. XXXV, Part B3,Istanbul, 2004.
中文论文
[1] 张添,黄春林,沈焕锋, "土壤水分对土壤参数的敏感性及其参数优化方法研究,"地球科学进展, vol. 27, no. 6, pp. 678-685, 2012.
[2] 张添,黄春林,沈焕锋, "地表通量对模型参数的不确定性和敏感性分析,"遥感技术与应用, vol. 26, no. 5, pp. 569-576, 2011
[3] 张洪艳,沈焕锋,张良培,李平湘,袁强强, "基于最大后验估计的影像盲超分辨率重建方法,"计算机应用, vol. 31, no. 5, pp. 1209-1213, 2011.
[4] 李洪利,沈焕锋,杜博,吴柯, "一种高保真同态滤波遥感影像薄云去除方法,"遥感信息, vol. 0, no.1, 41-44, 2011.
[5] 吴柯,牛瑞卿,沈焕锋,凌峰,陈涛, "结合超分辨率重建的神经网络亚像元定位方法,"中国图象图形学报, vol. 15, no. 11, pp. 1681-1687, 2010.
[6] 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 39, no.6, 585-591, 2010.
[7] 徐源璟,汪俏珏,沈焕锋,李平湘，张洪艳"基于刃边法与正则化方法的遥感影像复原,"测绘信息与工程, vol 35, no.6, 7-9, 2010.
[8] 王毅,牛瑞卿,喻鑫,沈焕锋, "基于时间变化的鲁棒各向异性扩散模型,"自动化学报, vol. 35 , no. 9, pp. 1253-1256, 2009.
[9] 袁强强,沈焕锋,李平湘,张良培, "自适应正则化多幅影像超分辨率重建,"中国图象图形学报, vol. 15, no.12, pp. 1720~1727, 2010.
[10]张洪艳,沈焕锋,张良培,李平湘, "一种基于保边缘先验模型的影像超分辨率重建方法,"中国图象图形学报, vol. 14, no. 11, pp. 2255-2261, 2009.
[11]沈焕锋,李平湘,张良培,王毅, "图像超分辨率重建技术与方法综述,"光学技术, vol. 35, no. 2, pp. 194-203, 2009.
[12]沈焕锋, "图像超分辨率重建技术的发展与应用现状,"测控技术, vol. 28, no. 6, pp. 1-8, 2009.
[13]李平湘,沈焕锋,张良培, "影像超分辨率重建技术在遥感中的应用,"地理空间信息, vol. 5, no. 5, pp. 1-3, 2007.
[14]吴柯,张良培,李平湘,沈焕锋, "基于正则MAP模型的遥感影像亚像元定位,"武汉大学学报（信息科学版）, vol. 32, no. 7, pp. 593-596, 2007.
[15]沈焕锋,李平湘,张良培, "不完全乔莱斯基分解预优共轭梯度的模型,"计算机工程, vol. 32 no. 17, pp. 15-18, 2006.
[16]沈焕锋,李平湘,张良培, "自适应正则MAP超分辨率重建方法,"武汉大学学报（信息科学版）, vol. 31, no. 11, pp. 949-952, 2006.
[17]沈焕锋,李平湘,张良培, "一种顾及影像纹理特性的自适应分辨率增强算法,"遥感学报, vol. 9, no. 3, pp. 253-259, 2005.
[18]沈焕锋,李平湘,张良培, "一种基于正则化技术的超分辨率重建方法,"中国图象图形学报, vol. 10, no. 4, pp. 436-440, 2005.
[19]沈焕锋,李平湘,汪志明, "遥感影像定标最佳样区的自动搜索方法,"测绘信息与工程, vol. 29, no. 3, pp. 32-33, 2004.
　
发明专利
1. 沈焕锋，张良培. 一种自适应变分遥感影像融合方法.
2. 沈焕锋，曾超. 基于波段相关性的遥感影像类内局部拟合恢复方法.
奖项荣誉
1.“湖北省杰出青年基金”获得者
2.入选教育部“新世纪优秀人才”支持计划
3. 入选武汉市黄鹤英才计划
4. 武汉大学“珞珈青年学者”
5. 学院青年教师讲课比赛第一名[1]