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Automatic detection of flooded areas on ENVISAT/ASAR images using an object-oriented classification technique and an active contour algorithm

  • R. Heremans
  • , A. Wiilekens
  • , D. Borghys
  • , B. Verbeeck
  • , J. Valckenborgh
  • , M. Acheroy
  • , C. Perneel
  • Vlaamse Landmaatschappij

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

30 Zitate (Scopus)

Abstract

Two techniques for extracting flooded areas out of RADAR-imagery in a time-efficient way are presented in this paper. The results of the object-oriented classification technique, based on the commercial eCognition software, and the active contour technique, are both obtained on 2 ENVISAT ASAR images; one recorded during a flood period in Flanders on January the 2nd of 2003 and one during a non-flooded region on June the 26th the same year. In both techniques the net flooded result is based on the subtraction of the existing water bodies (i.e. lakes, rivers, canals,...) obtained from the non-flooded reference image, -from the image recorded during the flooded period.

OriginalspracheEnglisch
TitelRAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
Redakteure/-innenS. Kurnaz, Fuat Ince, S. Onbasioglu
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten311-316
Seitenumfang6
ISBN (elektronisch)0780381424, 9780780381421
DOIs
PublikationsstatusVeröffentlicht - 2003
VeranstaltungInternational Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Türkei
Dauer: 20 Nov. 200322 Nov. 2003

Publikationsreihe

NameRAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

Konferenz

KonferenzInternational Conference on Recent Advances in Space Technologies, RAST 2003
Land/GebietTürkei
OrtIstanbul
Zeitraum20/11/0322/11/03

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