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- Title
RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION.
- Authors
Alsamman, A.; Syed, M.
- Abstract
The application of remote monitoring of surface water has focused primarily on the detection of water bodies using expensive multi-spectral IR sensors. However, critical information about surface water bodies, particularly the dynamic behavior, is better derived from water contours. We show that water body detection is inadequate in accurately capturing the contours. Furthermore, we argue that RGB-based detection should be sufficient for accurate water detection. We present a new global dataset of remote sensing images obtained from Sentinel-2 and Landsat-8 missions and contour labeled to assist in this effort. We propose a unique UNet-style contour detection system that utilizes multiscale filters to detect contours accurately. Comparisons between our proposed system, existing water detection, and other segmentation and contour detection systems show the system's effectiveness in detecting water.
- Subjects
BODIES of water; REMOTE sensing; WATER use
- Publication
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2022, Issue B3, p827
- ISSN
1682-1750
- Publication type
Article
- DOI
10.5194/isprs-archives-XLIII-B3-2022-827-2022