A CFAR Detection Algorithm for Generalized Gamma Distributed Background in High-Resolution SAR Images

Author

Xianxiang Qin ; Shilin Zhou ; Huanxin Zou ; Gui Gao

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defence Technol., Changsha, China

Volume

10

Issue

4

fYear

2013

fDate

Jul-13

Firstpage

806

Lastpage

810

Abstract

In this letter, a novel constant false alarm rate (CFAR) detection algorithm for high-resolution synthetic aperture radar (SAR) images is proposed with the generalized gamma distribution (GΓD) modeling the background. At first, the method of log-cumulants is introduced for estimating the parameters of the GΓD. In addition, a closed-form expression for the detection threshold of the CFAR algorithm is derived, which refers to the inverse incomplete gamma function. Finally, comparing with the algorithms using the Weibull, K_A, and G_A⁰ distributions for background, the advantages of the proposed algorithm, including maintaining the false alarm rate and the efficiency, are validated with an actual high-resolution SAR image.

Keywords

Weibull distribution; gamma distribution; higher order statistics; image resolution; parameter estimation; radar detection; synthetic aperture radar; CFAR detection algorithm; G⁰_A distribution; GGD; K_A distribution; Weibull algorithm; closed-form expression; constant false alarm rate; generalized gamma distributed background; high-resolution SAR imaging; inverse incomplete gamma function; log-cumulant method; parameter estimation; synthetic aperture radar; Algorithm design and analysis; Clutter; Distributed algorithms; Estimation; Image resolution; Object detection; Synthetic aperture radar; Constant false alarm rate (CFAR); generalized gamma distribution (G $Gamma$D); method of log-cumulants (MoLC); synthetic aperture radar (SAR);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2012.2224317

Filename

6361456