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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 13, issue 2
Nat. Hazards Earth Syst. Sci., 13, 455–472, 2013
https://doi.org/10.5194/nhess-13-455-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nat. Hazards Earth Syst. Sci., 13, 455–472, 2013
https://doi.org/10.5194/nhess-13-455-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Feb 2013

Research article | 20 Feb 2013

A fuzzy decision making system for building damage map creation using high resolution satellite imagery

H. Rastiveis1, F. Samadzadegan1, and P. Reinartz2 H. Rastiveis et al.
  • 1Dept. of Geomatics, Faculty of Engineering, University of Tehran, Tehran, Iran
  • 2German Aerospace Center (DLR), Oberpfaffenhofen, Germany

Abstract. 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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