Abstract
In this paper, efficient and economical methods for water area detection during flood event in mountainous area is proposed. To accomplish this, various case studies were preformed based on SAR image processing methods with the support of additional information such as Gray Level Co-occurrence Matrix (GLCM), Digital Elevation Model (DEM), and Digital Slope Model (DSM). As a result of various test2, the case when Synthetic Aperture Radar (SAR) image was classified with DSM applied by MIN filter gave the best performance, even in small streams of different elevation categories in mountainous terrain.
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© 2005 Springer-Verlag Berlin Heidelberg
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Sohn, HG., Song, YS., Kim, GH. (2005). Detecting Water Area During Flood Event from SAR Image. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_82
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DOI: https://doi.org/10.1007/11424826_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25861-2
Online ISBN: 978-3-540-32044-9
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