Detection of Damaged Buildings in Crisis Areas from Panchromatic Remote Sensing Data

DC FieldValueLanguage
dc.contributor.authorKlonus, Sascha
dc.contributor.authorEhlers, Manfred
dc.contributor.authorTomowski, Daniel
dc.contributor.authorMichel, Ulrich
dc.contributor.authorReinartz, Peter
dc.date.accessioned2021-12-23T16:16:06Z-
dc.date.available2021-12-23T16:16:06Z-
dc.date.issued2011
dc.identifier.issn14328364
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/11720-
dc.description.abstractDetection of Damaged Buildings in Crisis Areas from Panchromatic Remote Sensing Data. This paper focuses on change detection in areas where catastrophic events took place which resulted in rapid destruction especially of man-made structures. Standard methods for automated change detection prove not to be sufficient; therefore a new method is developed and tested. The presented method allows a fast detection and visualization of change in areas of crisis or catastrophes. This is an important requirement for planning and coordination of help. The proposed method is based on frequency analysis, segmentation and texture parameters. Ultimately, this method combines different approaches in a decision tree. This combined approach shows superior results when tested against to five standard change detection methods.
dc.language.isode
dc.publisherE SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
dc.relation.ispartofPHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION
dc.subjectChange detection
dc.subjectedge detection
dc.subjectFourier
dc.subjectImaging Science & Photographic Technology
dc.subjectRemote Sensing
dc.subjectsegmentation
dc.subjecttexture parameters
dc.titleDetection of Damaged Buildings in Crisis Areas from Panchromatic Remote Sensing Data
dc.typejournal article
dc.identifier.doi10.1127/1432-8364/2011/0084
dc.identifier.isiISI:000294740800004
dc.description.issue4
dc.description.startpage219
dc.description.endpage231
dc.contributor.orcid0000-0002-1184-0924
dc.contributor.researcheridO-2174-2019
dc.contributor.researcheridH-1534-2011
dc.identifier.eissn23637145
dc.publisher.placeNAEGELE U OBERMILLER, SCIENCE PUBLISHERS, JOHANNESSTRASSE 3A, D 70176 STUTTGART, GERMANY
dcterms.isPartOf.abbreviationPhotogramm. Fernerkund. Geoinf.
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