DocumentCode :
183118
Title :
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
Link To Document :
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