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- Title
Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks.
- Authors
Wenchao Kang; Yuming Xiang; Feng Wang; Ling Wan; Hongjian You
- Abstract
Emergency floodmonitoring and rescue need to first detect flood areas. This paper provides a fast and novel flood detection method and applies it to Gaofen-3 SAR images. The fully convolutional network (FCN), a variant of VGG16, is utilized for flood mapping in this paper. Considering the requirement of flood detection, we fine-tune the model to get higher accuracy results with shorter training time and fewer training samples. Compared with state-of-the-art methods, our proposed algorithm not only gives robust and accurate detection results but also significantly reduces the detection time.
- Publication
Sensors (14248220), 2018, Vol 18, Issue 9, p2915
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s18092915