Title :
Kullback leibler estimation of distribution parameters for SAR data
Author :
Lanying, Cao ; Wei, Xiong ; Zhimei, Hao
Author_Institution :
Radar & Avionics Inst., AVIC, Wuxi, China
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159873
