4.7 Article

A Bilateral CFAR Algorithm for Ship Detection in SAR Images

Journal

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 12, Issue 7, Pages 1536-1540

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2015.2412174

Keywords

Bilateral constant false alarm rate (CFAR); kernel density estimation; ship detection; spatial distribution; synthetic aperture radar (SAR)

Funding

  1. National Natural Science Foundation of China [61372163, 61331015, 61240058]

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A bilateral constant false alarm rate (CFAR) algorithm for ship detection in synthetic aperture radar (SAR) images is proposed in this letter. Compared to the standard CFAR algorithm, the proposed algorithm can reduce the influence of SAR ambiguities and sea clutter, by means of a combination of the intensity distribution and the spatial distribution of SAR images. The spatial distribution plays an equally important role as the intensity distribution. It is estimated before ship detection by a new kernel density estimation algorithm proposed in this letter. The experimental results of typical SAR images show that the algorithm is effective.

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