鍏抽敭璇�: 姹跺窛鍦伴渿, 閬ユ劅, 楂樺垎杈ㄧ巼, 閬撹矾, 闈㈠悜瀵硅薄

Abstract:

The earthquake occurred in the county of Wenchuan,Sichuan province on May 12th,2008 has brought huge loss in both property and lives.Road is the lifeline which is very important for disaster relief and people's life after the earthquake.Thus,it becomes one of the most significant tasks for monitoring the situation of road damage.This study selects Beichuan which was destroyed seriously in the earthquake as the study area.Utilizing high spatial resolution remote sensing images before and after the earthquake,this study recognizes roads based on object-oriented image classification technology.In addition,it extracts the sections of damaged road using two approaches,one of which is overlaying the roads extracted from images acquired before  the quake with the images after the quake,while the other is applying change detection to the roads extracted from images before and after the quake.顎凴esult of this study has already submitted to correlative departments of ministry of communications and provided timely and scientific basis for the disaster relief.This pilot study shows the methods mentioned above is feasible to road damage extraction based on high-resolution airborne image and satellite images.However,further study should be done in the near future.

Key words:  Wenchuan Earthquake, Remote Sensing, High Resolution, Road, Object-oriented