Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 10, Issue 4, Pages 806-810Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2224317
Keywords
Constant false alarm rate (CFAR); generalized gamma distribution (GGD); method of log-cumulants (MoLC); synthetic aperture radar (SAR)
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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 (GGD) modeling the background. At first, the method of log-cumulants is introduced for estimating the parameters of the GGD. 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(A)(0) 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.
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