Title :
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
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, KA, and GA0 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; G0A distribution; GGD; KA 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);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2012.2224317
