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Discriminating between the SAR signatures of debris and high vegetation

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

:
Postprint urn:nbn:de:0011-n-3666320 (741 KByte PDF)
MD5 Fingerprint: eb0112b182cebfb9ed1804266a0ba0df
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Created on: 17.11.2015


Institute of Electrical and Electronics Engineers -IEEE-:
IGARSS 2015, IEEE International Geoscience and Remote Sensing Symposium : July 26-31, 2015, Milan, Italy
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-7929-5
pp.473-476
International Geoscience and Remote Sensing Symposium (IGARSS) <2015, Milan>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
SAR; debris; vegetation; texture statistics; simulation

Abstract
The signature of heaps of debris surrounding damaged buildings pose the most promising signature for texture based damage detection in SAR imagery. However, the textural similarity to the signature of high vegetation turns out to be problematic. In this paper the differentiability of these two signature types is addressed by testing multiple texture features regarding their capability to distinguish between the two textures. Dealing with the limited number of debris samples additional simulated samples are used to ensure a large enough variation in types of debris.

: http://publica.fraunhofer.de/documents/N-366632.html