Simulated SAR images can be used for a wide variety of purposes such as classification, object recognition or the education of SAR image analysts. In this paper, a SAR simulation tool based on an extended raytracing approach is introduced. The approach allows for a coherent simulation of the most important SAR image features. Another aspect is the modeling of material properties necessary for the creation of synthetic SAR images that look realistic. Also, the image formation process is described in detail since it has immense impact on the overall appearance of the final image. The different steps of the simulation process and their influence on the appearance of the final simulated image are demonstrated with simulated images of a simple building. Then, examples for the simulation of large scale scenes at high resolution are given

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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

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