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Debris detection in SAR imagery using statistics of simulated texture

: Kuny, Silvia; Schulz, Karsten

Postprint urn:nbn:de:0011-n-3180834 (1.3 MByte PDF)
MD5 Fingerprint: 13dc8e8ea16c8961b5a9115ccf1d1223
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Created on: 11.12.2014

Du, Q. ; International Association for Pattern Recognition -IAPR-; International Society for Photogrammetry and Remote Sensing -ISPRS-; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Geoscience and Remote Sensing Society:
8th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2014 : 24 August 2014, Stockholm, Sweden
IEEE, 2014
ISBN: 978-1-4799-7276-0
4 pp.
Workshop on Pattern Recognition in Remote Sensing (PRRS) <8, 2014, Stockholm>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
SAR; Haralick features; textur; damage detection; debris

This paper presents a preliminary approach for debris detection in SAR images based on simulated training are-as. For this purpose radiometrically correct simulations of heaps of debris are produced. Based on statistics of the first and second order they are analyzed for their textural characteristics. The resulting feature information is used for the localization of de-bris-like signatures in real SAR imagery. Results are presented and discussed.