沈煥鋒

沈煥鋒

沈煥鋒，男，1980年生，祖籍河北省河間市，武漢大學教授、博導。2002年6月畢業於武漢大學測繪學院，獲測繪工程專業工學學士學位；2007年7月畢業於武漢大學測繪遙感信息工程國家重點實驗室，獲攝影測量與遙感專業工學博士學位。2006年3月至2007年3月於香港浸會大學數學系任研究助理；2007年7月到武漢大學資源與環境科學學院工作，任講師；2008年11月破格晉升為副教授；2011年11月破格晉升為教授。

基本介紹

  • 中文名：沈煥鋒
  • 外文名：Huanfeng Shen
  • 國籍：中國
  • 民族：漢族
  • 出生地：河北省河間市
  • 出生日期：1980年
  • 職業：教師
  • 畢業院校：武漢大學
  • 主要成就：湖北省自然科學一等獎
    教育部科技進步一等獎
    國家自然科學基金優秀青年基金
    湖北省傑出青年基金
    教育部新世紀優秀人才支持計畫
    教育部自然科學一等獎
    ASPRS授予ERDAS最佳論文獎
    IEEE 高級會員
    武漢大學十大傑出青年
    武漢市黃鶴英才計畫
個人介紹,研究方向,科研項目,出版著作,發明專利,獎項榮譽,學術論文,國際期刊論文(SCI),國際會議論文,中文論文,

個人介紹

沈煥鋒，男，1980年生，祖籍河北省河間市，博士，武漢大學教授，博士生導師，地理信息工程系副主任，國際著名學術組織IEEE高級會員(Senior Member, 2013-)，中國地理學會會員，中國遙感套用協會理事，國家自然科學基金優秀青年基金、湖北省傑出青年基金獲得者，榮獲湖北省自然科學一等獎、教育部科技進步一等獎、教育部自然科學一等獎，入選中組部“青年拔尖人才支持計畫”、教育部“新世紀優秀人才支持計畫”、武漢市“黃鶴英才計畫”，武漢市“青年科技晨光計畫”，武漢大學第一批“珞珈青年學者”，武漢大學“珞珈特聘教授”，武漢大學“十大傑出青年”，發表的學術論文被美國攝影測量與遙感學會ASPRS授予ERDAS最佳論文獎。2002年6月畢業於武漢大學測繪學院，獲測繪工程專業工學學士學位；2007年7月畢業於武漢大學測繪遙感信息工程國家重點實驗室，獲攝影測量與遙感專業工學博士學位。2006年3月至2007年3月於香港浸會大學數學系任研究助理；2007年7月到武漢大學資源與環境科學學院工作，任講師；2008年11月破格晉升為副教授；2011年11月破格晉升為教授。
先後主持國家自然科學基金4項、973專題1項、湖北省自然科學基金2項，在863重大項目中作為共同負責人負責近600 萬元的科研經費，並參與多個973、863、總參等方面的科研項目。在國內外發表/錄用科研論文130餘篇，其中包括國際圖像處理權威期刊“IEEE Transactions on Image Processing”，遙感領域權威期刊“IEEE Transactions on Geoscience and Remote Sensing”, “Remote Sensing of Environment”在內的SCI論文74篇，論文被引1583次(Google Scholar Citations)，單篇最高被引215次。出版學術專著2部，申請國家發明專利12項。擔任Journal of Applied Remote Sensing編委以及33個國際SCI期刊的特約審稿員。

研究方向

  1. 影像質量改善
  2. 遙感製圖與套用
  3. 數據融合與同化
  4. 區域與全球環境變化

科研項目

  1. 國家自然科學基金（優青）：遙感時空定量信息重建、融合及其在長時序精細化城市熱島監測中的套用（41422108）。時間：2015.1-2017.12。職責：課題組長。
  2. 國家自然科學基金：遙感影像大範圍地表信息缺失區域的修復理論與方法研究(41271376)。時間：2013.1-2016.12月。職責：課題組長。
  3. 國家高技術研究發展計畫(863)：星機地綜合觀測定量遙感融合處理與共性產品生產系統(2013AA12A301)。時間：2013.1-2015.12月。職責：課題第二負責人。
  4. 國家自然科學基金：多時空譜遙感影像序列的一體化融合理論與方法研究(40971220)。時間：2010.1-2012.12月。職責：課題組長。
  5. 國家重點基礎研究發展計畫(973)：全波段多源數據綜合信息提取技術與方法(2009CB723905)。時間：2009.1-2013.12月。職責：課題副組長、專題組長。
  6. 國家自然科學基金：基於多時相遙感影像的超解析度重建方法(40801182)。時間：2009.1-2011.12月。職責：課題組長。
  7. 國家重點基礎研究發展計畫(973)：空天地一體化對地觀測感測網的理論與方法(2011CB707100)。時間：2011.1-2015.12月。職責：研究骨幹。
  8. 國家高技術研究發展計畫(863)：遙感軟體體系架構及標準規範研究(2007AA120203)。時間：2008.1-2010.12月。職責：研究骨幹。
  9. 國家測繪局西部測圖項目：多波段多極化SAR影像地物提取與解譯系統。時間：2009.1-2009.12。職責：研究骨幹。

出版著作

  1. 沈煥鋒，鐘燕飛，王毅等，ENVI遙感影像處理教程，武漢：武漢大學出版社， 2009.
  2. 張良培，沈煥鋒，張洪艷，袁強強，圖像超解析度重建，北京：科學出版社，2012.

發明專利

  1. 沈煥鋒，張良培. 一種自適應變分遙感影像融合方法.
  2. 沈煥鋒，曾超. 基於波段相關性的遙感影像類內局部擬合恢複方法.
  3. 沈煥鋒，李星華，張良培，張洪艷. 利用多時相數據去除光學遙感影像大面積厚雲的方法.
  4. 沈煥鋒，姜灣，張良培，袁強強. 基於分段校正的遙感影像條帶噪聲去除方法.
  5. 李傑，張良培，袁強強，沈煥鋒. 一種結合波段聚類和稀疏表達的遙感影像復原方法.
  6. 曾超，沈煥鋒，張良培. 基於多時相數據的遙感影像加權回歸恢複方法.
  7. 沈煥鋒，吳鵬海等. 一種任意感測器數量的時空定量遙感融合方法.
  8. 楊剛，沈煥鋒，袁強強，張良培，李慧芳. 一種遙感序列數據的時域重建方法.
  9. 沈煥鋒，劉慧琴，吳鵬海，袁強強. 顧及非局部特性與時空變化的遙感數據時空定量融合方法.
  10. 沈煥鋒，付文軒，李星華，張良培. 一種結合時空信息的遙感逐日積雪產品去雲方法.
  11. 劉欣鑫，沈煥峰，袁強強，張良培. 一維信號處理引導下的遙感影像條帶噪聲快速濾除方法.
  12. 沈煥鋒，李同文. 一種結合衛星和站點觀測反演時空連續PM2.5濃度的方法.

獎項榮譽

  1. “國家自然科學基金優秀青年基金”獲得者
  2. “湖北省傑出青年基金”獲得者
  3. 湖北省自然科學一等獎
  4. 教育部科技進步一等獎
  5. 教育部自然科學一等獎
  6. 美國攝影測量與遙感學會ERDAS最佳論文獎
  7. 入選中組部“青年拔尖人才支持計畫”
  8. 入選教育部“新世紀優秀人才”支持計畫
  9. 入選武漢市黃鶴英才計畫
  10. 武漢大學“珞珈青年學者”
  11. 武漢大學“珞珈特聘教授”
  12. 武漢大學十大傑出青年
  13. 學院青年教師講課比賽第一名

學術論文

國際期刊論文(SCI)

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  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. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. G. Yang, H. Shen, L. Zhang, Z. He, and X. Li, “A Moving Weighted Harmonic Analysis Method for Reconstructing High-Quality SPOT VEGETATION NDVI Time-Series Data,”IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 6008-6021, 2015.
  20. W. He, H. Zhang, L. Zhang, and H. Shen, “Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation,”IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 3050-3061, 2015.
  21. H. Zhang, L. Zhang, and H. Shen, “A Blind Super-Resolution Reconstruction Method Considering Image Registration Errors,” International Journal of Fuzzy Systems, vol. 17, no. 2, pp. 353-364, 2015.
  22. X. Li, H. Shen, L. Zhang, and H. Li, “Sparse-based reconstruction of missing information in remote sensing images from spectral/temporal complementary information,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 106, pp. 1-15, 2015.
  23. X. Ma, H. Shen, L. Zhang, J. Yang, H. Zhang, "Adaptive Anisotropic Diffusion Method for Polarimetric SAR Speckle Filtering,"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 3, pp. 1041-1050, 2015.
  24. J. Li, Q. Yuan, H. Shen, and L. Zhang, “Hyperspectral Image Recovery Employing a Multidimensional Nonlocal Total Variation Model,” Signal Processing, vol. 111, pp. 230-248, 2015.
  25. P. Wu, H. Shen, L. Zhang, F. M. Göttsche, "Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature,"Remote Sensing of Environment, vol. 156, pp. 169-181, 2015.
  26. C. Zeng, H. Shen, M. Zhong, L. Zhang, P. Wu, "Reconstructing MODIS LST based on multi-temporal classification and robust regression,"IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 3, pp. 512-516, 2015.
  27. H. Shen, H. Li, Y. Qian, L. Zhang, Q. Yuan, "An effective thin cloud removal procedure for visible remote sensing images," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 96, pp. 224-235, 2014.
  28. W. Gan, H. Shen, L. Zhang, W. Gong, "Normalization of medium-resolution NDVI by the use of coarser reference data: method and evaluation," International Journal of Remote Sensing, vol. 35, no. 21, pp. 7400-7429, 2014.
  29. H. Shen, W. Zhao, Q. Yuan, L. Zhang, "Blind Restoration of Remote Sensing Images by a Combination of Automatic Knife-Edge Detection and Alternating Minimization," Remote Sensing, vol. 6, no. 8, pp. 7491-7521, 2014.
  30. L. Yue, H. Shen, Q. Yuan, L. Zhang, "A locally adaptive L1-L2 norm for multi-frame super-resolution of images with mixed noise and outliers," Signal Processing, vol. 105, pp. 156-174, 2014.
  31. T. Hu, H. Zhang, H. Shen, L. Zhang, "Robust Registration by Rank Minimization for Multiangle Hyper/Multispectral Remote Sensing Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2443-2457, 2014.
  32. M. Guo, H. Zhang, J. Li, L. Zhang, H. Shen, "An Online Coupled Dictionary Learning Approach for Remote Sensing Image Fusion," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 4, pp. 1284-1294, 2014.
  33. Q. Cheng, H. Shen, L. Zhang, Q. Yuan, C. Zeng, "Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 92, pp. 54-68, 2014.
  34. F. Lei, C. Huang, H. Shen, and X. Li, "Improving the estimation of hydrological states in SWAT model via the ensemble Kalman smoother: synthetic experiments for the Heihe Basin in northwest China," Advances in Water Resources, vol. 67, pp. 32-45, 2014.
  35. X. Li, H. Shen, L. Zhang, H. Zhang, Q. Yuan, and G. Yang, "Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 11, pp. 7086-7098, 2014.
  36. X. Lan, H. Shen, L. Zhang, and Q. Yuan, "A spatially adaptive retinex variational model for the uneven intensity correction of remote sensing images," Signal Processing, vol. 101, pp. 19-34, 2014.
  37. H. Zhang, Z. Yang, L. Zhang, and H. Shen, “Super-Resolution Reconstruction for Multi-Angle Remote Sensing Images Considering Resolution Differences,” Remote Sensing, vol. 6, no. 1, pp. 637-657, 2014.
  38. H. Zhang, W. He, L. Zhang, H. Shen, Q. Yuan, "Hyperspectral Image Restoration Using Low-Rank Matrix Recovery," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 8, pp. 4729-4743, 2014.
  39. H. Li, L. Zhang, H. Shen, "A Principal Component Based Haze Masking Method for Visible Images," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 5, pp. 975-979, 2014.
  40. H. Shen, W. Jiang, H. Zhang, L. Zhang, "A piece-wise approach to remove the nonlinear and irregular stripes in MODIS data," International Journal of Remote Sensing, vol. 35, no. 1, pp. 44-53, 2014.
  41. X. Meng, H. Shen, H. Zhang, L. Zhang, H. Li, "Maximum a Posteriori Fusion Method Based on Gradient Consistency Constraint for Multispectral/Panchromatic Remote Sensing Images," Spectroscopy and Spectral Analysis, vol. 34, no. 5, pp. 1332-1337, 2014.
  42. C. Jiang, H. Zhang, H. Shen, L. Zhang, "Two-Step Sparse Coding for the Pan-Sharpening of Remote Sensing Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 5, pp. 1792-1805, 2014.
  43. X. Li, H. Shen, L. Zhang, H. Zhang, Q. Yuan, "Dead Pixel Completion of Aqua MODIS Band 6 using a Robust M-Estimator Multiregression", IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 4, pp. 768-772, 2014.
  44. X. Ma, H. Shen, J. Yang, L. Zhang and P. Li, "Polarimetric-Spatial Classification of SAR images based on the fusion of multiple classifiers", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 3, pp. 961-971, 2014.
  45. Q. Yuan, L. Zhang, H. Shen, "Hyperspectral Image Denoising With a Spatial-Spectral View Fusion Strategy," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 5, pp. 2314-2325, 2014.
  46. 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.
  47. Q. Cheng, H. Shen, L. Zhang, P. Li, " Inpainting for Remotely Sensed Images with a Multichannel Nonlocal Total Variation Model,"IEEE Transactions on Geoscience and Remote Sensing,vol. 52, no. 1, pp. 175-187, 2014.
  48. 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, vol. 52. no. 1, pp. 106-120, 2014.
  49. X. Lan, L. Zhang, H. Shen, Q. Yuan, "Single Image Haze Removal Considering Sensor Blur and Noise," EURASIP Journal on Advances in Signal Processing, vol. 2013, no. 1, pp. 1-13, 2013.
  50. 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, vol. 131, pp. 182-194, 2013.
  51. H. Shen, P. Wu, et al., "A Spatial and Temporal Reflectance Fusion Model Considering Sensor Observation Differences," International Journal of Remote Sensing, vol. 34, no. 12, pp. 4367-4383, 2013.
  52. P. Wu, H. Shen, et al.,"Land Surface Temperature Retrieval at High Spatial and Temporal Resolutions Based on Multi-Sensor Fusion," International Journal of Digital Earth, vol. 6, no. S1, pp. 113-133, 2013.
  53. Q. Yuan, L. Zhang, H. Shen, "Regional Spatially Adaptive Total Variation Super-resolution with Spatial Information Filtering and Clustering," IEEE Transactions on Image Processing, vol. 22, no. 6, pp. 2327-2342, 2013.
  54. 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.
  55. 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.
  56. 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.
  57. H. Li, L. Zhang, H. Shen, "A Perceptually Inspired Variational Method for Uneven Intensity Correction of Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 8,pp. 3053-3065, 2012.
  58. 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.
  59. 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.
  60. 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.
  61. 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, pp. 5492-5512, 2012.
  62. H. Zhang, L. Zhang, H. Shen, "A Super-resolution Reconstruction Algorithm for Hyperspectral Images," Signal Processing, vol. 92, no. 9, pp. 2082-2096, 2012.
  63. 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, pp. 185-192, 2011.
  64. L. Zhang, Q. Yuan, H. Shen, and P. Li, "Multiframe Image Super-resolution Adapted with Local Spatial Information," Journal of the Optical Society of America A, vol. 28, no. 3, pp. 381-390, 2011.
  65. H. Shen, et al., "Universal Reconstruction Method for RadiometricQuality Improvement of Remote Sensing Images," International Journal of Applied Earth Observation and Geoinformation, vol. 12, no. 4, pp. 278-286, 2010.
  66. 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.
  67. 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(1-19), 2010.
  68. L. Zhang, H. Zhang, H. Shen, and P. Li, "A Super-resolution Reconstruction Algorithm for Surveillance Images," Signal Processing, vol. 90, no. 3, pp. 848-859, 2010.
  69. 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(1-20), 2010.
  70. 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.
  71. H. Shen, M. K. Ng, P. Li, L. Zhang, "Super Resolution Reconstruction Algorithm to MODIS Remote Sensing Images," The ComputerJournal, vol. 52, no. 1, pp. 90-100, 2009.
  72. 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.
  73. 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.
  74. 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(1-11), 2007.

國際會議論文

  1. Q. Yuan, H. Shen, and H. Li, “Single Remote Sensing Image Haze Removal Based on Spatial and Spectral Self-adaptive Model,” the 8th International Conference on Image and Graphics (ICIG), Tianjin, China, 2015.
  2. X. Li, H. Shen, H. Li, and Q. Yuan, “Temporal Domain Group Sparse Representation Based Clouds Removal for Remote Sensing Images,” the 8th International Conference on Image and Graphics (ICIG), Tianjin, China, 2015.
  3. H. Li, L. Xu, Z. Zhang, H. Shen, W. Li, and L. Cao, “A Land Cover Adaptive Topographic Correction and Evaluation Method for Remote Sensing data,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 2015.
  4. L. Yue, W. Yu, H. Shen, and L. Zhang, “Accuracy Assessment of SRTM v4.1 and ASTER GDEM v2 in High-altitude Mountainous Areas: a Case Study in Yulong Snow Mountain, China,” IEEE International Geosciences and Remote Sensing Symposium (IGARSS), Milan, Italy, 2015.
  5. X. Meng, H. Shen, L. Zhang, Q. Yuan, and H. Li, “A Unified Framework for Spatio-temporal-spectral Fusion of Remote Sensing Images,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 2015.
  6. X. Ma, H. Shen, “Refined PolSAR Anisotropic Diffusion Filter Coupling with Adaptive Data-fitting Term,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 2015.
  7. X. Meng, H. Shen, H. Li, Q. Yuan, H. Zhang, and L. Zhang, “Improving the Spatial Resolution of Hyperspectral Image Using Panchromatic and Multispectral Images: an Integrated Method,” the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, 2015.
  8. L. Huang, H. Shen, L. Zhang, P. Wu, C. Zeng, “Relationships analysis of land surface temperature with vegetation indicators and impervious surface fraction by fusing multi-temporal and multi-sensor remotely sensed data”,Joint Urban Remote Sensing Event (JURSE), Lausanne, Switzerland, 2015.
  9. X. Guan, H. Shen, W. Gan, L. Zhang, “Analysis of Impacts of Drought on GPP in Yunnan province Based on MODIS Products,” the 3rdAgro-Geoinformatics, Beijing, China, 2014.
  10. X. Li, H. Shen, H. Li, L. Zhang, “Analysis Model Based Recovery of Remote Sensing Data,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec, Canada, 2014.
  11. X. Ma, H. Shen, Q. Yuan, L. Zhang, “Spatially Adaptive Nonlocal Total Variation for PolSAR Despeckling,” IEEE International Geoscience and Remote Sensing Symposium(IGARSS), Quebec, Canada, 2014.
  12. W. He, H. Zhang, L. Zhang, H. Shen, “A Noise-adjusted Iterative Randomized Singular Value Decomposition Method for Hyperspectral Image Denoising,” IEEE International Geoscience and Remote Sensing Symposium(IGARSS), Quebec, Canada, 2014.
  13. F.Lei, H. Shen, and C. Huang, “Enhancing the operational hydrologic forecast by simultaneous assimilation of satellite-based soil moisture and in-situ streamflow,” the 34th Asian Conference on Remote sensing (ACRS), Bali, Indonesia, 2013.
  14. W.Gan, H. Shen, W. Gong, and X. Peng, “Normalizing medium resolution ndvi usinglow resolution modis products,” the 34th Asian Conference on Remote sensing(ACRS), Bali, Indonesia, 2013.
  15. X. Lan, H. Shen, L. Zhang. "An Adaptive Non-Local Means Filter Based on Region Homogeneity ," the 7th International Conference on Image and Graphics (ICIG), Qingdao, China, 2013.
  16. J. Li, H. Shen, Q. Yuan, L. Zhang, W. Gong. “Hyperspectral Image Denoising via Multidimensional Nonlocal Model,” the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, Florida, USA, 2013.
  17. J. Li, C. Zeng, Q. Yuan, L. Zhang, H. Shen. “Hyperspectral Images Reconstruction Based Super-Pixel Mapping using Cross-Channel Sparse Model,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, Australia, 2013.
  18. W. Gan, H. Shen, L. Zhang, W. Gong, "Normalization of NDVI from Different Sensor System using MODIS Products as Reference", the 35th International Symposium on Remote Sensing of Environment (ISRSE), Beijing, China, 2013.
  19. Q. Yuan, H. Shen, L. Zhang, X. Lan, "Hypspectral image denoising with amulti-view fusion strategy ", the 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, China, 2012.
  20. L. Zhang, X. Xu, J. Li, H. Shen, Y. Zhong, H. Xin, "Research on image reconstruction based and pixel unmixing based sub-pixel mapping methods" ISymposium (IGARSS), Munich, Germany, 2012.
  21. H. Shen, "Integrated Fusion Method For MultipleTemporal-Spatial-Spectral Images," the XXII Congress of International Society for Photogrammetry and Remote Sensing (ISPRS), Melbourne, Australia, 2012.
  22. X. Li, H. Shen, C. Zeng, P. Wu, "Restoring Aqua Modis Band 6 By Other SpectralBands Using Compressed Sensing Theory", the 4th Workshop on Hyperspectral Image and Signal Processing, Shanghai: Evolution in Remote Sensing (WHISPERS), China, 2012
  23. 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," the 4th International Conference on Intelligent Computation Technology and Automation (ICICTA), Shenzhen, China, 2011.
  24. R. Wang, C. Zeng, P. Li, and H. Shen,"Terra MODIS Band 5 Stripe Noise Detection and Correction Using MAP-Based Algorithm," the International Conferenceon Remote Sensing, Environment and Transportation Engineering (RSETE), Nanjing, China, 2011.
  25. H. Zhang, L. Zhang, H. Shen, P. Li, "A MAP Approach for Joint Image Registration, Blur Identification and Super Resolution," the 5thInternational Conference on Image and Graphics (ICIG), Xi’an, China, 2009.
  26. 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 (IGARSS), Cape Town, South Africa, 2009.
  27. 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 (ICEODPA), Wuhan, China, 2008.
  28. H. Shen, et al., "Improving the Quality of Remote Sensing Images Using a Universal Reconstruction Method," the International Conference on Earth Observation Data Processing and Analysis (ICEODPA), Wuhan, China, 2008.
  29. H. Shen, et al., "Destriping and Inpainting of Remote Sensing Image Using Maximum A-Posteriori Method," XXI Congress International Society for Photogrammetry and Remote Sensing (ISPRS), Beijing, China, 2008.
  30. 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.
  31. H. Shen, P. Li, L. Zhang, Y. Zhao, "A MAP Algorithm to Super-Resolution Image Reconstruction," the 3rd International Conference on Image and Graphics (ICIG), Hong Kong, 2004.
  32. P. Li, H. Shen, L. Zhang, "A Method of Image Resolution Enhancement Based on the Matching Technique," the 20th ISPRS Congress, vol. XXXV, Part B3, Istanbul, Turkey, 2004.

中文論文

  1. 翟瑋, 沈煥鋒, 黃春林, "結合PolSAR影像紋理特徵分析提取倒塌建築物, " 遙感技術與套用, 已接受.
  2. 付文軒, 沈煥鋒, 李星華, 黃春林, 曾超,侯金亮, "時空自適應加權的MODIS積雪產品去雲方法," 遙感信息, vol. 31, no. 2, pp. 36-43, 2016.
  3. 莫玉琴，沈瑤，史俊國，吳鵬海，張振威， 沈煥鋒，"近15年天津市熱島時空演變分析," 遙感信息, vol. 30, no. 5, pp. 102-110, 2015.
  4. 管小彬，沈煥鋒，甘文霞，張良培， "基於Landsat TM/ETM+影像的武漢市冬季NPP估算及其時空變化分析," 遙感技術與套用, vol. 30, no. 5, pp. 894-890, 2015
  5. 陳瑋婧, 黃春林, 沈煥鋒, "基於Lorenz-63模型的狀態與參數同時估計方法對比研究," 遙感技術與套用, vol. 30, no.4, pp. 684-693, 2015.
  6. 劉慧琴, 吳鵬海, 沈煥鋒, 袁強強, "一種基於非局部濾波的遙感時空信息融合方法,"地理與地理信息科學, vol. 31, no. 4, pp. 27-32, 2015..
  7. 李同文，孫越喬，楊晨雪，李明曉，曾超，沈煥鋒， "融合衛星遙感與地面測站的區域PM2.5反演," 測繪地理信息, vol. 40, no. 3, pp. 6-9, 2015.
  8. 馬曉雙，沈煥鋒，楊傑，張良培， "極化SAR相干斑抑制的局部加權最小均方誤差濾波算法,"中國圖象圖形學報,vol. 20, no. 1, pp. 140-150, 2015.
  9. 岳林蔚， 沈煥鋒，袁強強，張良培，蘭霞， "基於雙邊結構張量的局部自適應圖像超解析度重建," 武漢大學學報（信息科學版），vol. 40, no. 4, pp. 493-497, 2015.
  10. 王曉靜，李慧芳，袁強強， 沈煥鋒，張良培， "採用分裂Bregman的遙感影像亮度不均變分校正,"中國圖象圖形學報, vol. 19, no. 5, pp. 798-805, 2014.
  11. 甘文霞，沈煥鋒，張良培，龔威, "採用6S模型的多時相MODIS植被指數NDVI歸一化方法,"武漢大學學報（信息科學版），vol. 39, no. 3, pp. 300-304, 2014.
  12. 姜灣，沈煥鋒，曾超，張良培，張洪艷，劉欣鑫，"Terra MODIS數據28波段影像條帶噪聲去除方法," 武漢大學學報（信息科學版），vol. 39, no. 5, pp. 326-330, 2014.
  13. 張添，黃春林，沈煥鋒， "土壤水分對土壤參數的敏感性及其參數最佳化方法研究," 地球科學進展, vol. 27, no. 6, pp. 678-685, 2012.
  14. 張添，黃春林，沈煥鋒， "地表通量對模型參數的不確定性和敏感性分析," 遙感技術與套用, vol. 26, no. 5, pp. 569-576, 2011.
  15. 張洪艷，沈煥鋒，張良培，李平湘，袁強強，"基於最大後驗估計的影像盲超解析度重建方法," 計算機套用, vol. 31, no. 5, pp. 1209-1213, 2011.
  16. 李洪利，沈煥鋒，杜博，吳柯， "一種高保真同態濾波遙感影像薄雲去除方法," 遙感信息, vol. 0, no.1, pp. 41-44, 2011.
  17. 吳柯，牛瑞卿，沈煥鋒，凌峰，陳濤， "結合超解析度重建的神經網路亞像元定位方法," 中國圖象圖形學報, vol. 15, no. 11, pp. 1681-1687, 2010.
  18. 李慧芳，沈煥鋒，張良培，李平湘， "一種基於變分Retinex的遙感影像不均勻性校正方法," 測繪學報, vol 39, no.6, pp. 585-591, 2010.
  19. 徐源璟，汪俏珏，沈煥鋒，李平湘，張洪艷，"基於刃邊法與正則化方法的遙感影像復原," 測繪信息與工程, vol. 35, no. 6, pp. 7-9, 2010.
  20. 王毅，牛瑞卿，喻鑫，沈煥鋒， "基於時間變化的魯棒各向異性擴散模型," 自動化學報, vol. 35 , no. 9, pp. 1253-1256, 2009.
  21. 袁強強，沈煥鋒，李平湘，張良培， "自適應正則化多幅影像超解析度重建," 中國圖象圖形學報, vol. 15, no. 12, pp. 1720-1727, 2010.
  22. 張洪艷，沈煥鋒，張良培，李平湘，"一種基於保邊緣先驗模型的影像超解析度重建方法," 中國圖象圖形學報, vol. 14, no. 11, pp. 2255-2261, 2009.
  23. 沈煥鋒，李平湘，張良培，王毅， "圖像超解析度重建技術與方法綜述," 光學技術, vol. 35，no. 2, pp. 194-203, 2009.
  24. 沈煥鋒， "影像超解析度重建技術的發展與套用現狀," 測控技術, vol. 28, no. 6, pp. 1-8, 2009.
  25. 李平湘，沈煥鋒，張良培，"影像超解析度重建技術在遙感中的套用," 地理空間信息, vol. 5, no. 5, pp. 1-3, 2007.
  26. 吳柯，張良培，李平湘，沈煥鋒， "基於正則MAP模型的遙感影像亞像元定位," 武漢大學學報（信息科學版）, vol. 32, no. 7, pp. 593-596, 2007.
  27. 沈煥鋒，李平湘，張良培， "不完全喬萊斯基分解預優共軛梯度的模型," 計算機工程, vol. 32, no. 17, pp. 15-18, 2006.
  28. 沈煥鋒，李平湘，張良培，"自適應正則MAP超解析度重建方法," 武漢大學學報（信息科學版）, vol. 31, no. 11, pp. 949-952, 2006.
  29. 沈煥鋒，李平湘，張良培，"一種顧及影像紋理特性的自適應解析度增強算法," 遙感學報, vol. 9, no. 3, pp. 253-259, 2005.
  30. 沈煥鋒，李平湘，張良培， "一種基於正則化技術的超解析度重建方法," 中國圖象圖形學報, vol. 10, no. 4, pp. 436-440, 2005.
  31. 沈煥鋒，李平湘，汪志明，"遙感影像定標最佳樣區的自動搜尋方法," 測繪信息與工程, vol. 29, no. 3, pp. 32-33, 2004.

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