Extraction of earthquake-damaged areas from aerial images by probabilistic method

Shota Izaka; Hitoshi Saji

doi:10.1117/12.864801

25 October 2010 Extraction of earthquake-damaged areas from aerial images by probabilistic method

Shota Izaka, Hitoshi Saji

Proceedings Volume 7831, Earth Resources and Environmental Remote Sensing/GIS Applications; 78311X (2010) https://doi.org/10.1117/12.864801
Event: SPIE Remote Sensing, 2010, Toulouse, France

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.

Citation Download Citation

Shota Izaka and Hitoshi Saji "Extraction of earthquake-damaged areas from aerial images by probabilistic method", Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311X (25 October 2010); https://doi.org/10.1117/12.864801

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