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| Titel |
A fuzzy decision making system for building damage map creation using high resolution satellite imagery |
| VerfasserIn |
H. Rastiveis, F. Samadzadegan, P. Reinartz |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 2 ; Nr. 13, no. 2 (2013-02-20), S.455-472 |
| Datensatznummer |
250017581
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| Publikation (Nr.) |
 copernicus.org/nhess-13-455-2013.pdf |
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| Zusammenfassung |
| Recent studies have shown high resolution satellite imagery to be a powerful
data source for post-earthquake damage assessment of buildings. Manual
interpretation of these images, while being a reliable method for finding
damaged buildings, is a subjective and time-consuming endeavor, rendering it
unviable at times of emergency. The present research, proposes a new
state-of-the-art method for automatic damage assessment of buildings using
high resolution satellite imagery. In this method, at the first step a set
of pre-processing algorithms are performed on the images. Then, extracting a
candidate building from both pre- and post-event images, the intact roof
part after an earthquake is found. Afterwards, by considering the shape and
other structural properties of this roof part with its pre-event condition
in a fuzzy inference system, the rate of damage for each candidate building
is estimated. The results obtained from evaluation of this algorithm using
QuickBird images of the December 2003 Bam, Iran, earthquake prove the
ability of this method for post-earthquake damage assessment of buildings. |
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