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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationRAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
EditorsS. Kurnaz, Fuat Ince, S. Onbasioglu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages311-316
Number of pages6
ISBN (Electronic)0780381424, 9780780381421
DOIs
Publication statusPublished - 2003
EventInternational Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Turkey
Duration: 20 Nov 200322 Nov 2003

Publication series

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

Conference

ConferenceInternational Conference on Recent Advances in Space Technologies, RAST 2003
Country/TerritoryTurkey
CityIstanbul
Period20/11/0322/11/03

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