A Novel Method for Urban Road Damage Detection Using Very High Resolution Satellite Imagery and Road Map

作者：Li Peijun^*; Xu Haiqing; Song Benqin

来源：Photogrammetric Engineering and Remote Sensing, 2011, 77(10): 1057-1066.

In this paper, a novel method for detecting earthquake damage to urban road networks using very high resolution (win) satellite images is proposed. The study focuses on road blockage caused by rubble from collapsed buildings. The road regions were first extracted from a pre-event road map. The damage to the road network was then detected from the post-event VHR image of the road regions using object-based classification, where both spectral and texture information was used. The damage to adjacent buildings was also extracted and used to refine the initial result of the road damage detection. The proposed method was evaluated using bitemporal VHR images and the road map of Port au Prince, Haiti, which was heavily hit by an earthquake in January 2010. The experimental results showed that the proposed method outperformed the direct use of various data combinations in road damage detection and achieved the best performance, with an overall accuracy (OA) of 81.50 percent and a Kappa coefficient of 61.23 percent. In particular, when the refinement step with building damage information in the area adjacent to the road was applied, the OA and Kappa were significantly improved.

• 出版日期2011-10
• 单位北京大学