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

fYear

2014

fDate

24-24 Aug. 2014

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition in Remote Sensing (PRRS), 2014 8th IAPR Workshop on

Conference_Location

Stockholm

Type

conf

DOI

10.1109/PRRS.2014.6914289

Filename

6914289