Estimation of earthquake damage from aerial images by probabilistic method

Author

Izaka, Shota ; Saji, Hitoshi

Author_Institution

Grad. Sch. of Inf., Shizuoka Univ., Hamamatsu, Japan

fYear

2011

fDate

24-29 July 2011

Firstpage

1271

Lastpage

1274

Abstract

We propose a flexible probabilistic method for the extraction of earthquake-damaged areas from post-earthquake 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 results are displayed on a digital map that enables the estimation of building damage and road trafficability. Such maps can be used for various rescue and humanitarian activities.

Keywords

earthquakes; geophysical image processing; geophysical techniques; image segmentation; aerial images; building damage; digital map; earthquake damage estimation; earthquake-damaged areas; flexible probabilistic method; humanitarian activities; image segmentation; post-earthquake images; probabilistic method; road trafficability; Buildings; Feature extraction; Image color analysis; Image edge detection; Image segmentation; Probabilistic logic; Roads; Aerial images; Building damage; Earthquake; Probabilistic; Road trafficability;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049431

Filename

6049431