Detecting man-made features in SAR imagery

Author

Carlotto, Mark J.

Author_Institution

PSR Corp., Arlington, VA, USA

Volume

1

fYear

1996

fDate

27-31 May 1996

Firstpage

34

Abstract

A method for detecting man-made features in synthetic aperture radar (SAR) imagery is described. The method is based on matching the local histogram against a family of Weibull densities. The Weibull density is defined by two parameters, the median and the skewness (Weibull parameter). Regions containing man-made objects have Weibull parameter values that are smaller than those containing natural features. In experiments performed with aircraft SAR imagery, man-made features are effectively discriminated from natural features using this method

Keywords

Weibull distribution; feature extraction; geophysical signal processing; geophysical techniques; image matching; image segmentation; radar imaging; radar signal processing; remote sensing by radar; synthetic aperture radar; SAR imagery; Weibull density; buildings; feature extraction; geophysical measurement technique; image matching; image region analysis; land surface; local histogram; man-made feature; median; radar imaging; radar remote sensing; skewness; synthetic aperture radar; terrain mapping; urban area; Aircraft; Brightness; Clutter; Computer vision; Histograms; Image edge detection; Object detection; Pixel; Radar detection; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516236

Filename

516236