Title :
Debris detection in SAR imagery using statistics of simulated texture
Author :
Kuny, Silvia ; Schulz, K.
Author_Institution :
Dept. Scene Anal., Fraunhofer Inst. of Optronics, Syst. Technol. & Image Exploitation IOSB, Ettlingen, Germany
Abstract :
This paper presents a preliminary approach for debris detection in SAR images based on simulated training areas. 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.
Keywords :
disasters; image texture; radar detection; radar imaging; remote sensing by radar; statistics; synthetic aperture radar; SAR imagery debris detection; debris-like signatures; first order statistics; localization; radiometrically correct simulations; second order statistics; textural characteristics; texture statistics simulation; Buildings; Optical imaging; Remote sensing; Solid modeling; Synthetic aperture radar; Training; Vegetation; Haralick features; SAR simulation; damage detection; debris; texture;
Conference_Titel :
Pattern Recognition in Remote Sensing (PRRS), 2014 8th IAPR Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/PRRS.2014.6914289
