A new parameter estimation for K distribution clutter

Author

Zhu, Jun ; Ji, Ke-feng ; Su, Yi ; Shan, Kai-jing

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha

fYear

2008

Firstpage

1103

Lastpage

1107

Abstract

K distribution is one of the most widely applied statistical models for SAR images clutter. Now there are several approaches to estimate the parameters of K distribution. Based on Raghavanpsilas method, a new method named piecewise-approximation is given in this paper, where gamma and beta-prime distributions are applied to piecewisely approximate K distribution. The experiment results show that the new method broadens the applicable range of parameter, and has a higher accuracy than the method of moment.

Keywords

image processing; parameter estimation; piecewise constant techniques; radar clutter; synthetic aperture radar; K distribution clutter; Raghavan method; SAR images clutter; beta-prime distributions; gamma distributions; parameter estimation; piecewise approximation; statistical models; Maximum likelihood estimation; Message-oriented middleware; Military equipment; Moment methods; Parameter estimation; Probability density function; Radar clutter; Radar imaging; Shape; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2178-7

Electronic_ISBN

978-1-4244-2179-4

Type

conf

DOI

10.1109/ICOSP.2008.4697322

Filename

4697322