## Statistical–physical model for foliage clutter in ultra-wideband synthetic aperture radar images

JOSA A, Vol. 20, Issue 1, pp. 32-39 (2003)

http://dx.doi.org/10.1364/JOSAA.20.000032

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### Abstract

Analyzing foliage-penetrating (FOPEN) ultra-wideband synthetic aperture radar (SAR) images is a challenging problem owing to the noisy and impulsive nature of foliage clutter. Indeed, many target-detection algorithms for FOPEN SAR data are characterized by high false-alarm rates. In this work, a statistical–physical model for foliage clutter is proposed that explains the presence of outliers in the data and suggests the use of symmetric alpha-stable (S*α*S) distributions for accurate clutter modeling. Furthermore, with the use of general assumptions of the noise sources and propagation conditions, the proposed model relates the parameters of the S*α*S model to physical parameters such as the attenuation coefficient and foliage density.

© 2003 Optical Society of America

**OCIS Codes**

(100.0100) Image processing : Image processing

(280.0280) Remote sensing and sensors : Remote sensing and sensors

**History**

Original Manuscript: May 20, 2001

Revised Manuscript: June 27, 2002

Manuscript Accepted: June 28, 2002

Published: January 1, 2003

**Citation**

Amit Banerjee and Rama Chellappa, "Statistical–physical model for foliage clutter in ultra-wideband synthetic aperture radar images," J. Opt. Soc. Am. A **20**, 32-39 (2003)

http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-20-1-32

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