Signature analysis of destroyed buildings in simulated high resolution SAR data

Approaches for urban damage assessment often rely on pre-post-event comparison. In this process the knowledge about damage type specific signature characteristics could be of considerable assistance. This paper presents a signature analysis of the most common damage types of buildings based on simulated high resolution SAR images. A comparison is made between the signature of each damage type and the signature of the corresponding intact building with the purpose of identifying type-specific characteristics, later to be used for a building-wise damage type classification.