Road damage detection from high-resolution RS image

Author

Gong, Lixia ; An, Liqiang ; Liu, Mingzhong ; Zhang, Jingfa

fYear

2012

fDate

22-27 July 2012

Firstpage

990

Lastpage

993

Abstract

This paper presents a road damage extraction method based on object-oriented change detection method using road vector data overlaid on post-earthquake image. It is complex to identify all kinds of road damages in earthquakes. For the purpose of traffic capacity analysis, focusing on roads in good condition will simplify the problem, no matter how the roads are destroyed. The whole road line is provided by road network vector of appropriate scale. Subtract the good road and the damaged parts are clearly shown. This method can realize quantitative analysis on road seismic damage when lack of pre-earthquake images. In this paper it is applied to road damage extraction in Wenchuan earthquake, using high resolution remote sensing images shot just several days after the event.

Keywords

earthquakes; feature extraction; geophysical image processing; image resolution; object detection; remote sensing; road traffic; image resolution; object-oriented change detection method; postearthquake image; remote sensing; road damage detection; road damage extraction method; road network vector; road seismic damage; traffic capacity analysis; Earthquakes; Feature extraction; Image resolution; Remote sensing; Roads; Satellites; Support vector machine classification; Road extraction; Wenchuan earthquake; high resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351235

Filename

6351235