Title :
Road damage detection from high-resolution RS image
Author :
Gong, Lixia ; An, Liqiang ; Liu, Mingzhong ; Zhang, Jingfa
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351235
