Comparison between Classic Methods and Deep Learning Approach in Detecting Changes of Waterbodies from Sentinel-1 Images
Author:
Affiliation:
1. Department of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran
Publisher
MDPI
Link
https://www.mdpi.com/2673-4931/29/1/26/pdf
Reference13 articles.
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3. Tatarnikova, T., and Chernetsova, E. (2020). CEUR Workshop Proceedings, GraphiCon Scientific Society.
4. A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery;Liang;ISPRS J. Photogramm. Remote Sens.,2020
5. Zhang, M., Chen, F., Liang, D., Tian, B., and Yang, A. (2020). Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan. Sustainability, 12.
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