Detecting water area during flood event from SAR image

Hong Gyoo Sohn, Yeong Sun Song, Gi Hong Kim

Research output: Contribution to journalConference articlepeer-review

12 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)771-780
Number of pages10
JournalLecture Notes in Computer Science
Issue numberII
Publication statusPublished - 2005
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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