Detecting water area during flood event from SAR image

Hong Gyoo Sohn; Yeong Sun Song; Gi Hong Kim

doi:10.1007/11424826_82

Detecting water area during flood event from SAR image

Hong Gyoo Sohn, Yeong Sun Song, Gi Hong Kim

Department of Civil and Environmental Engineering

Research output: Contribution to journal › Conference article › peer-review

12 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 language	English
Pages (from-to)	771-780
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3481
Issue number	II
DOIs	https://doi.org/10.1007/11424826_82
Publication status	Published - 2005
Event	International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 2005 May 9 → 2005 May 12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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10.1007/11424826_82

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title = "Detecting water area during flood event from SAR image",

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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AU - Sohn, Hong Gyoo

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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JO - Lecture Notes in Computer Science

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T2 - International Conference on Computational Science and Its Applications - ICCSA 2005

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ER -

Detecting water area during flood event from SAR image

Abstract

All Science Journal Classification (ASJC) codes

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