Title :
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
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;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5981141
