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李星华
2017-08-24 10:21:48  发布者:00031512  来源:  评论:0 点击:

李星华,工学博士,地理国情监测系特聘副研究员。研究方向包括:遥感数据缺失信息重建、影像融合、城市植被物候监测、冰雪监测等。手机:15527964369,邮箱:lixinghua5540@whu edu cn。欢迎有兴趣攻读硕士学位的各位同学报考!

                    
  
个人简介
       李星华,1988年生,祖籍四川省安岳县,武汉大学副研究员。IEEE会员、IEEE GRSS会员、IEEE SPS会员、中国遥感应用协会会员。2011年6月毕业于武汉大学资源与环境科学学院,获地理信息系统专业学士学位;2016年6月毕业于武汉大学资源与环境科学学院,获地图制图学与地理信息工程专业博士学位。2016年7月到武汉大学遥感信息工程学院工作,任特聘副研究员。
     曾获博士研究生国家奖学金、硕士研究生国家奖学金、国家励志奖学金、武汉大学研究生学术创新奖一等奖/二等奖、王之卓学术创新奖一等奖、定安奖学金、本科生/研究生甲等奖学金等各种奖学金,武汉大学优秀本科毕业生、优秀毕业研究生、优秀研究生、优秀学生干部、优秀党支部书记、社会活动积极分子、三好学生等荣誉称号。
     主持国家自然科学基金青年项目1项、湖北省自然科学基金面上项目1项、中央高校基本科研业务费专项资金项目1项、武汉大学研究生自主科研项目(重点项目)1项、中国科学院数字地球重点实验室开放基金等2项开放基金。在国内外发表/录用科研论文近20篇,其中包括“IEEE Transactions on Geoscience and Remote Sensing”、“ISPRS Journal of Photogrammetry and Remote Sensing”等遥感领域权威期刊。获批国家发明专利2项。担任IEEE Transactions on Geoscience and Remote Sensing等多个国际SCI期刊以及会议的审稿员。

研究方向
遥感数据缺失信息重建、影像融合、城市植被物候监测、冰雪监测等。
 

教育经历
2011.9–2016.6,武汉大学 资源与环境科学学院 地图制图学与地理信息工程专业  博士
2007.9–2011.6,武汉大学 资源与环境科学学院 地理信息系统专业                        学士

联系方法
办公地址:武汉大学遥感信息工程学院5-427
手机号码:15527964369
办公电话:02768771421
电子邮件:lixinghua5540@whu.edu.cn 
 
代表成果
      期刊论文
[1] X. Li, W. Fu, H. Shen*, C. Huang, and L. Zhang, “Monitoring snow cover variability (2000–2014) in the Hengduan Mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method,” Journal of Hydrology, vol. 551, pp. 314-327, August, 2017. (SCI, 二区top, IF=3.483)
[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, February 2014. (SCI, 二区top, IF=4.942)
[3] 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, November 2014. (SCI, 二区top, IF=4.942)
[4] X. Li, H. Shen*, L. Zhang, H. Zhang, and 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, April, 2014. (SCI, IF=2.761)
[5] 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, August 2015. (SCI, IF=6.387)
[6] 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, November 2015. (SCI, IF=6.387) [7] 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, September, 2015. (SCI, IF=2.676)
[8] 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, vol. 9, no. 8, pp. 3629-3641, August 2016. (SCI, IF=2.913)
[9] 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, November 2015. (SCI, 二区top, IF=4.942)
[10] 付文轩,沈焕锋*,李星华,黄春林,曾超,侯金亮,“时空自适应加权的MODIS积雪产品去云方法”,遥感信息,vol. 31,no. 2,pp. 36-43,2016. (CSCD)
 
      会议论文
[1] X. Li, H. Shen*, C. Zeng, and P. Wu, "Restoring Aqua MODIS Band 6 by Other Spectral Bands Using Compressed Sensing Theory," in the 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, China, June 2012, pp. 1-4. (EI)
[2] X. Li, H. Shen*, H. Li, and L. Zhang, "Analysis Model d Recovery of Remote Sensing Data,” in the 34th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec, Canada, July 2014, pp. 2491-2494. (EI)
[3] X. Li, H. Shen*, H. Li, and Q. Yuan, "Temporal Domain Group Sparse Representation d Cloud Removal for Remote Sensing Images," in the 8th International Conference on Image and Graphics (ICIG), Tianjing, China, August 2015, pp. 445-452. (EI)
[4] G. C. Iannelli, P. Gamba*, X. Li, and H. Shen*, “Improving Urban Extent Extraction From VHR Optical Data by Means of Cloud Detection and Image Reconstruction,” in the 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016, pp. 7307-7309. (EI)
[5] H. Jiang, H. Shen, X. Li, and L. Zhang, “Generation of SMAP 9 km Soil Moisture Using a Spatio-Temporal Information Fusion Model,” in the 37th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017, pp. 2008-2011. (EI)
[6] C. Zhang, Z. Li, Q. Cheng, X. Li, and H. Shen, “Cloud Removal by Fusing Multi-Source and Multi-Temporal Images,” in the 37th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017, pp. 2577-2580. (EI)
[7] R. Feng, X. Li, W. Zou, and H. Shen, “Registration of Multitemporal GF-1 Remote Sensing Images With Weighting Perspective Transformation Model,” in IEEE International Conference on Image Processing, Beijing, China, 2017. (EI)
 
    发明专利
[1] 沈焕锋,李星华,张良培,张洪艳,利用多时相数据去除光学遥感影像大面积厚云的方法,国家发明专利,ZL201210551692.X.
[2] 沈焕锋,付文轩,李星华,张良培,一种结合时空信息的遥感逐日积雪产品去云方法,国家发明专利,ZL201510094932.1.

科研项目
[1] 国家重点研发计划:“人-地”耦合的高精度全球土地利用演变模拟及应用,研究骨干,2018.01-2022.12
[2] 国家自然科学基金(青年项目):多时相遥感影像薄云-厚云联合去除方法研究,负责人,2018.01-2020.12
[3] 湖北省自然科学基金(面向项目):多云条件下卫星影像的协同稀疏重建,负责人,2017.01-2018.12
[4] 中央高校基本科研业务费专项资金项目:顾及局部变形的高分一号宽幅影像配准方法研究,负责人,2017.01-2018.12
[5] 中国科学院数字地球重点实验室开放基金:Aura卫星每日全球臭氧总量产品生成方法研究,负责人,2017.01-2018.12
[6] 卫星测绘技术与应用国家测绘地理信息局重点实验室开放基金:国产卫星影像厚云去除方法研究,负责人,2017.01-2018.12
[7] 武汉大学引进人才科研启动经费,2017.01-2018.12
[8] 武汉大学研究生自主科研项目(重点):基于谱段互补信息的遥感数据修复方法,负责人,2014.05-2016.05
 

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