An object-oriented method for road damage detection from high resolution remote sensing images

Author

Wang, Yanping ; Wang, Yanbin ; Da, Yong ; Liu, Xiaoyan ; Li, Jiebo ; Huang, Jingyi

Author_Institution

Coll. of Geosci. & Surveying Eng., China Univ. of Min. Technol., Beijing, China

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

5

Abstract

The precision of road damage detection in disaster area from high resolution remote sensing images is general low because the current methods are mainly based on pixels and can´t combine with the already existing GIS information. This paper presents an object-oriented road damage detection method. First and foremost, Multi-scale segmentation technology is adopted to get image objects, and then the paper utilizes some typical feature parameters and combines with pre-disaster´s GIS vector road to extract road information. Then the techniques of overlay analysis and violating objects removal are employed to extract the damaged road section. Remote sensing images for Wenchuan, China disaster area and Yushu, China disaster area are implemented as examples. The result indicates that this method can improve quickness and efficiency of road damage detection.

Keywords

disasters; emergency services; geographic information systems; image resolution; image segmentation; object detection; object-oriented methods; remote sensing; disaster area; high resolution remote sensing images; multiscale segmentation technology; object oriented method; predisaster GIS vector road; road damage detection; Data mining; Feature extraction; Geographic Information Systems; Image resolution; Image segmentation; Remote sensing; Roads; damage detection; high resolution remote sensing; object-oriented; road;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5981141

Filename

5981141