Parameter Estimation of K Model of Radar Cross Section for Synthetic Aperture Radar Images Based on Second-Kind Statistics

摘要：

　　The K distribution is used to model the radar cross section(RCS)of synthetic aperture radar(SAR)images,and its parameters are estimated from the observed images using second-kind statistics.The types of intensity and amplitude images are considered in this paper.For each kind of image,the first two log-cumulants of speckle and RCS are derived respectively,and thus the estimators are derived with explicit expressions based on the second-kind statistics.Parameter estimation experiments demonstrate the effectiveness of the proposed estimators.

关键词： K model radar cross section parameter estimation second-kind statistics Monte Carlo simulation

作者: Zengguo Sun Zhihua Zhang

作者单位: College of Computer Science and Technology Huaqiao University Xiamen, China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 819-824

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）