Kullback Leibler Estimation of Distribution Parameters for SAR data

摘要：

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.

关键词： Synthetic Aperture Radar Parameter Estimation Ant Colony Algorithm Kullback Leibler Distance.

作者: Cao Lanying Xiong Wei Hao Zhimei

作者单位: Radar and Avionics Institute of AVIC, Wuxi, Jiangsu, 214063, P.R.China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1612-1614

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）