wanling15@mails.ucas.ac.cn
Automation Building, No. 95 Zhongguancun East Road, Haidian District, Beijing
multisource remote sensing image processing
Dr. Ling Wan is currently an assistant professor at the Institute of Automation, Chinese Academy of Sciences. She has graduated from the Aerospace Information Research Institute, Chinese Academy of Sciences. Her research direction is multisource remote sensing image change detection.
[1] L. Wan, T. Zhang, Y. Xiang and H. You. A Robust Fuzzy C-Means Algorithm Based on Bayesian Nonlocal Spatial Information for SAR Image Segmentation [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(3): 896-906.
[2] L. Wan, T. Zhang and H. You. Object-based multiscale method for SAR image change detection [J]. Journal of Applied Remote Sensing, 2018, 12(2): 025004.
[3] L. Wan, T. Zhang and H. You. Multi-sensor remote sensing image change detection based on sorted histograms[J]. International Journal of Remote Sensing, 2018, 39(11): 3753-3775.
[4] L. Wan, M. Liu, F. Wang, T. Zhang and H. J. You. Automatic extraction of flood inundation areas from SAR images: a case study of Jilin, China during the 2017 flood disaster [J]. International Journal of Remote Sensing, 2019, 40(13): 5050-5077.
[5] L. Wan, Y. Xiang and H. You. A Post-Classification Comparison Method for SAR and Optical Images Change Detection [J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(7): 1026-1030.
[6] L. Wan, Y. Xiang and H. You. An Object-based Hierarchical Compound Classification Method for Optical and SAR Images Change detection [J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(12): 9941-9959.