Detecting water area during flood event from SAR image

Hong Gyoo Sohn, Yeong Sun Song, Gi Hong Kim

Research output: Contribution to journalConference article

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)771-780
Number of pages10
JournalLecture Notes in Computer Science
Volume3481
Issue numberII
Publication statusPublished - 2005 Sep 26
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

Fingerprint

Synthetic Aperture
Synthetic aperture radar
Radar
Slope
Gray Level Co-occurrence Matrix
Water
Digital Elevation Model
Image Processing
Filter
Image processing
Model

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sohn, Hong Gyoo ; Song, Yeong Sun ; Kim, Gi Hong. / Detecting water area during flood event from SAR image. In: Lecture Notes in Computer Science. 2005 ; Vol. 3481, No. II. pp. 771-780.
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Sohn, HG, Song, YS & Kim, GH 2005, 'Detecting water area during flood event from SAR image', Lecture Notes in Computer Science, vol. 3481, no. II, pp. 771-780.

Detecting water area during flood event from SAR image. / Sohn, Hong Gyoo; Song, Yeong Sun; Kim, Gi Hong.

In: Lecture Notes in Computer Science, Vol. 3481, No. II, 26.09.2005, p. 771-780.

Research output: Contribution to journalConference article

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AU - Song, Yeong Sun

AU - Kim, Gi Hong

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AB - 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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