Analysis of multiplicative speckle models for template-based SAR ATR

Author

Kaplan, Lance M.

Author_Institution

Dept. of Eng., Clark Atlanta Univ., GA, USA

Volume

37

Issue

4

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1424

Lastpage

1432

Abstract

It has been noted that signal aperture radar (SAR) imagery of clutter exhibits Rayleigh multiplicative noise due to speckle. We use a database of MSTAR target chips to verify that the noise is multiplicative rather than additive for all regions in the chip. Then, by examining histograms corresponding to the noise residuals, we show that a Weibull distribution that is almost Rayleigh best fits the data. However, when we restrict the analysis over the target region, the log-normal and Rayleigh models fit the noise equally as well. This can be attributed to scattering mechanisms that are unstable over five degrees of aspect angle

Keywords

Weibull distribution; maximum likelihood estimation; mean square error methods; radar clutter; radar computing; radar imaging; radar target recognition; speckle; synthetic aperture radar; MSTAR target chips; Rayleigh models; Rayleigh multiplicative noise; Weibull distribution; approximate Rayleigh parameters; clutter; deterministic structure; histograms; log-normal models; maximum likelihood estimation; multiplicative speckle models; noise residuals; radar imagery; template-based SAR ATR; unstable scattering mechanisms; Additive noise; Histograms; Image databases; Radar clutter; Radar imaging; Radar scattering; Rayleigh scattering; Speckle; Synthetic aperture radar; Weibull distribution;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.976977

Filename

976977