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Proceedings Paper

Extraction of earthquake-damaged areas from aerial images by probabilistic method
Author(s): Shota Izaka; Hitoshi Saji
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Paper Abstract

We propose a flexible probabilistic method for the extraction of earthquake-damaged areas from aerial images. We segment an aerial image into regions and classify each region on the basis of the features appearing in damaged areas. We consider the similarity of neighboring regions in the classification. As a result of segmentation, the classification is independent of the color of each region. Our results show the likelihood of a region being damaged and enable the flexible estimation of damage based on human decisions. The result is displayed on a digital map that can be used for various rescue and humanitarian activities.

Paper Details

Date Published: 25 October 2010
PDF: 10 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311X (25 October 2010); doi: 10.1117/12.864801
Show Author Affiliations
Shota Izaka, Shizuoka Univ. (Japan)
Hitoshi Saji, Shizuoka Univ. (Japan)


Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)

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