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

Autor(en): Klonus, Sascha
Ehlers, Manfred
Tomowski, Daniel
Michel, Ulrich
Reinartz, Peter
Stichwörter: Change detection; edge detection; Fourier; Imaging Science & Photographic Technology; Remote Sensing; segmentation; texture parameters
Erscheinungsdatum: 2011
Herausgeber: E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
Journal: PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION
Ausgabe: 4
Startseite: 219
Seitenende: 231
Zusammenfassung: 
Detection 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.
ISSN: 14328364
DOI: 10.1127/1432-8364/2011/0084

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