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Assessing the suitability of simulated SAR signatures of debris for the usage in damage detection

: Kuny, Silvia; Hammer, Horst; Schulz, Karsten

Fulltext urn:nbn:de:0011-n-4106222 (960 KByte PDF)
MD5 Fingerprint: f6d71da8590141e9ad87e8718d9e0335
Created on: 25.8.2016

Halounova, L. ; International Society for Photogrammetry and Remote Sensing -ISPRS-:
XXIII ISPRS Congress 2016. Commission III : 12-19 July 2016, Prague, Czech Republic; From Human History to the Future with Spatial Information
Istanbul: ISPRS, 2016 (ISPRS Archives XLI-B3)
International Society for Photogrammetry and Remote Sensing (ISPRS Congress) <23, 2016, Prague>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
SAR simulation; texture features; damage detection; debris

When disasters strike in urban areas, the most important issue is to direct rescue forces to the most heavily destroyed areas. SAR images, because of their independence from daylight and weather conditions, are the remote sensing tool of choice in these cases. However, often no pre-event image is available, so change detection cannot be performed. Thus, we aim at extracting areas of debris from a single post-event SAR image using textural features. We want to be independent of real samples of debris sites by using simulated SAR image chips. Previous work has shown that in this way we detect all major sites of debris, e.g. caused by collapsed buildings. However, the screening process also detects many other areas, especially high vegetation and gravel. In order to rule these areas out from the analysis, it is important to also simulate these classes of objects. The simulated chips can then be used in a classifier, specifically a random forest, to rule out these causes of false alarms.