Kullback leibler estimation of distribution parameters for SAR data

Author

Lanying, Cao ; Wei, Xiong ; Zhimei, Hao

Author_Institution

Radar & Avionics Inst., AVIC, Wuxi, China

Volume

2

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

1612

Lastpage

1614

Abstract

It is essential for SAR automatic target recognition (ATR) to estimate the parameters of statistical modes in SAR images. Most studies have relied on the conventional methods, such as moments technique and maximum likelihood estimation (MLE) method. In this paper, we apply a Kullback Leibler (KL) method to parameters estimation for SAR data. The ant colony algorithm (ACA) is extended to search for the optimal parameters. Experiment results show that the KL method performs better than MLE method in all cases tested.

Keywords

ant colony optimisation; image recognition; parameter estimation; radar imaging; synthetic aperture radar; ACA; KL distribution parameter estimation method; Kullback Leibler distribution parameter estimation method; MLE method; SAR ATR data; SAR automatic target recognition data; SAR imaging; ant colony algorithm; maximum likelihood estimation method; moments technique; statistical mode; Maximum likelihood estimation; Nakagami distribution; Optimization; Parameter estimation; Probability density function; Synthetic aperture radar; Ant Colony Algorithm; Kullback Leibler Distance; Parameter Estimation; Synthetic Aperture Radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159873

Filename

6159873