Urban building damage detection from VHR imagery by including temporal and spatial texture features
加入空间-时相纹理的高分辨率图像城市建筑物物倒塌提取

The availability of very high resolution (VHR) satellite imagery has made analysis of remotely sensed data an increasingly effective tool for detection of post-earthquake urban building damage. While methods that use spectral information alone are often ineffective owing to spectral similarity between undamaged and damaged buildings, the detailed structure information discernable in VHR images makes it possible to add spatial and temporal features in the detection. This paper proposed a method to extract multi-temporal texture by the Pseudo Cross Variogram (PCV) and multiband texture by the Multivariate Variogram (MV). The derived texture features were combined with spectral information for building damage detection in 2003 Bam earthquake using multi-temporal Quickbird images. The performance of the two texture features was evaluated at both optimalscale level and multi-scale level. The results showed that incorporating multi-temporal and multiband textures could signif icantly increase detection accuracy, and that multi-scale textures performed better than uni-scale textures.