Parameter estimation of K model of radar cross section for synthetic aperture radar images based on second-kind statistics

Author

Zengguo Sun ; Zhihua Zhang

Author_Institution

Coll. of Comput. Sci. & Technol., Huaqiao Univ., Xiamen, China

fYear

2014

fDate

19-21 Aug. 2014

Firstpage

808

Lastpage

813

Abstract

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.

Keywords

higher order statistics; parameter estimation; radar cross-sections; radar imaging; speckle; synthetic aperture radar; K distribution; K model; SAR images; amplitude images; log-cumulants; parameter estimation; radar cross section; second-kind statistics; speckle; synthetic aperture radar images; Monte Carlo methods; Nakagami distribution; Parameter estimation; Radar cross-sections; Shape; Speckle; Synthetic aperture radar; K model; Monte Carlo simulation; parameter estimation; radar cross section; second-kind statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4799-5147-5

Type

conf

DOI

10.1109/FSKD.2014.6980941

Filename

6980941