EN
王群明
教授
遥感信息处理、应用及空间统计学
姓名: 王群明
性别:

职称:

教授,博士生导师

籍贯:

湖北监利

邮箱:

wqm11111@126.com; wangqm@tongji.edu.cn

简介:

同济大学长聘教授。国家自然科学基金优秀青年基金获得者、国家海外高层次青年人才。曾任英国兰卡斯特大学讲师(助理教授),现任该校客座教授。遥感领域顶刊RSE编委,测绘学报(英文版)编委,国际期刊Science of Remote Sensing(RSE姐妹刊)和PE&RS副主编。已发表国际SCI期刊论文90余篇,包括第一/通讯作者60余篇。获国家测绘科技进步一等奖     (排名第三)与特等奖(排名第四)、香港理工大学优秀博士学位论文奖、香港博士政府奖学金等荣誉。

欢迎有志于学术研究的学生报考硕士生与博士生,也欢迎博士后以及青年学者加入团队!

个人网站:https://qunmingwang.github.io/


学习与工作经历

2022.06-至      今   英国兰卡斯特大学, 客座教授

2021.12-至      今   同济大学, 长聘教授, 博士生导师

2018.05-2021.11   同济大学, 教授, 博士生导师

2017.08-2018.04   英国兰卡斯特大学, 讲师(助理教授)

2015.08-2017.07   英国兰卡斯特大学, 博士后

2013.06-2013.12   英国南安普顿大学, 访问博士

2012.08-2015.09   香港理工大学, 博士

2010.09-2012.06   哈尔滨工程大学, 硕士

2006.09-2010.06   哈尔滨工程大学, 本科


主要学术兼职

2022-至 今   测绘学报(英文版)编委

2021-至 今   Remote Sensing of Environment 编委

2020-至 今   Science of Remote Sensing 主编

2017-至 今   PE & RS 主编

2017-2020   Computers & Geosciences 副主编


研究方向

1. 遥感信息处理与分析(数据融合、尺度转换、数据重建、混合像元分析、时序分析、土地覆盖制图与变化检测等)

2. 遥感应用(土壤湿度、地表温度、植被覆盖度等生态环境因子监测)

3. 机器学习与应用

4. 空间统计学理论与应用


科研项目

1. 高分辨率遥感数据融合重建,国家自然科学基金优秀青年基金(42222108),2023-2025,主持

2. 时空无缝高空间分辨率遥感影像重建方法研究,国家自然科学基金面上项目(42171345),2022-2025,主持

3. 融合多尺度遥感时序数据的高时空分辨率制图方法研究,国家自然科学基金面上项目(41971297),2020-2023,主持

4. 海外高层次人才引进计划项目,2018-2021,主持

5. 同济大学高层次人才引进计划项目,2018-2023,主持

6. 航天测绘遥感与深空探测,国家自然科学基金创新研究群体项目(42221002),2023-2027,参与


获奖与荣誉

2023   测绘科技进步一等奖(排名第3)

2021   RSE 2020年度最佳审稿人

2017   测绘科技进步特等奖(排名第4)

2016   香港理工大学建设及环境学院优秀博士论文奖

2012   香港博士政府奖学金(Hong Kong PhD Fellowship)

2012   黑龙江省优秀硕士学位论文奖

2012   黑龙江省优秀硕士毕业生


指导学生

博士生  

2024级:张爽、左晨

2023级:李爱静(直博)、李景勃、肖通

2022级:王蓝星、习慧鹏

2021级:唐以洁(硕博连读)、肖粤龙

2020级:丁欣宇(直博)、马晓峰、杨昊轩(已毕业)

2019级:张成媛(直博)

硕士生  

2024级:张宁、全诗雨

2023级:赵景超、尤燕玲

2022级:黄睿杰、马文静

2021级:李家艺(已毕业)纪萍(已毕业)

2020级:张智昊(已毕业)曾江(已毕业)

2019级:唐以洁(已转博)、王蓝星(已读


主要论文

更多论文请见:https://qunmingwang.github.io/  

Q. Wang, Y. Tang, X. Tong, P. M. Atkinson. Filling gaps in cloudy Landsat LST product by spatio-temporal fusion of multi-scale data. Remote Sensing of Environment, 2024, 306: 114142.

X. Ma, Q. Wang*, X. Tong, P. M. Atkinson. A deep learning model for incorporating temporal information in haze removal. Remote Sensing of Environment, 2022, 274: 113012.

Q. Wang, X. Ding, X. Tong, P. M. Atkinson. Spatio-temporal spectral unmixing of time-series images. Remote Sensing of Environment, 2021, 259: 112407.

Q. Wang, K. Peng, Y. Tang, X. Tong, P. M. Atkinson. Blocks-removed spatial unmixing for downscaling MODIS images. Remote Sensing of Environment, 2021, 256: 112325.

Q. Wang, Y. Tang, X. Tong, P. M. Atkinson. Virtual image pair-based spatio-temporal fusion. Remote Sensing of Environment, 2020, 249: 112009.

Q. Wang, C. Zhang, X. Tong, P. M. Atkinson. General solution to reduce the point spread function effect in subpixel mapping. Remote Sensing of Environment, 2020, 251: 112054.

Q. Wang, C. Zhang, P. M. Atkinson. Sub-pixel mapping with point constraints. Remote Sensing of Environment, 2020, 244: 111817.

Q. Wang, P. M. Atkinson. Spatio-temporal fusion for daily Sentinel-2 images. Remote Sensing of Environment, 2018, 204: 31–42.

Q. Wang, P. M. Atkinson. The effect of the point spread function on sub-pixel mapping. Remote Sensing of Environment, 2017, 193: 127–137.

Q. Wang, W. Shi, Z. Li, P. M. Atkinson. Fusion of Sentinel-2 images. Remote Sensing of Environment, 2016, 187: 241–252.

Q. Wang, W. Shi, P. M. Atkinson, Y. Zhao. Downscaling MODIS images with area-to-point regression kriging. Remote Sensing of Environment, 2015, 166: 191–204.

Q. Wang, J. Li, X. Tong, P. M. Atkinson. TSI-Siamnet: A Siamese network for cloud and shadow detection based on time-series cloudy images. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 213: 107-123.

X. Ma, Q. Wang*, X. Tong. A spectral grouping-based deep learning model for haze removal of hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 188: 177–189.

Y. Tang, Q. Wang*, X. Tong, P. M. Atkinson. Integrating spatio-temporal-spectral information for downscaling Sentinel-3 images. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 180: 130–150.

Q. Wang, Y. Tang, P. M. Atkinson. The effect of the point spread function on downscaling continua. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 168: 251-267.

Q. Wang, W. Shi, P. M. Atkinson. Area-to-point regression kriging for pan-sharpening. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 114: 151–165.

Q. Wang, W. Shi, P. M. Atkinson. Sub-pixel mapping of remote sensing images based on radial basis function interpolation. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 92: 1–15.

H. Yang, Q. Wang*, W. Zhao, P. M. Atkinson. Reconstruction of historical SMAP soil moisture dataset from 1979 to 2015 using CCI time-series. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 4502619.

Y. Tang, Q. Wang*, X. Tong, P. M. Atkinson. Generation of 100-m, hourly land surface temperature based on spatio-temporal fusion. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5001716.

J. Zeng, Q. Wang*. Sparse tensor model-based spectral angle detector for hyperspectral target detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5539315.

L. Wang, L. Wang, Q. Wang*, B. Lorenzo. RSCNet: Residual self-calibrated network for hyperspectral image change detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5529917.

Q. Wang, X. Ding, X. Tong, P. M. Atkinson. Real-time spatiotemporal spectral unmixing of MODIS images. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5404816.

C. Zhang, Q. Wang*, P. Lu, Y. Ge, P. M. Atkinson. Fast and slow changes constrained spatio-temporal subpixel mapping. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5406616.

K. Peng, Q. Wang*, Y. Tang, X. Tong, P. M. Atkinson. Geographically weighted spatial unmixing for spatio-temporal fusion. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5404217.

L. Wang, L. Wang, Q. Wang*, P. M. Atkinson. SSA-SiamNet: Spatial-spectral-wise attention-based Siamese network for hyperspectral image change detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5510018.

Q. Wang, L. Wang, Z. Li, X. Tong, P. M. Atkinson. Spatial-spectral radial basis function interpolation-based Landsat ETM+ SLC-off image gap filling. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(9): 7901–7917.

Q. Wang, W. Shi, P. M. Atkinson. Information loss-guided multi-resolution image fusion. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(1): 45–57.

H. Zhang, Q. Wang*, W. Shi, M. Hao. A novel adaptive fuzzy local information c-means clustering algorithm for remotely sensed image classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(9): 5057–5068.

Q. Wang, A. Blackburn, A. Onojeghu, J. Dash, L. Zhou, Y. Zhang, P. M. Atkinson. Fusion of Landsat 8 OLI and Sentinel-2 MSI data. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7): 3885–3899.

Q. Wang, W. Shi, P. M. Atkinson. Spatiotemporal subpixel mapping of time-series images. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(9): 5397–5411.

Q. Wang, W. Shi, P. M. Atkinson, E. Pardo-Iguzquiza. A new geostatistical solution to remote sensing image downscaling. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 386–396.

Q. Wang, P. M. Atkinson, W. Shi. Fast subpixel mapping algorithms for subpixel resolution change detection. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 1692–1706.

Q. Wang, P. M. Atkinson, W. Shi. Indicator cokriging-based subpixel mapping without prior spatial structure information. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 309–323.

Q. Wang, W. Shi, L. Wang. Allocating classes for soft-then-hard subpixel mapping algorithms in units of class. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2940–2959.