Title :
A Bilateral CFAR Algorithm for Ship Detection in SAR Images
Author :
Xiangguang Leng ; Kefeng Ji ; Kai Yang ; Huanxin Zou
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
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.
Keywords :
marine radar; radar imaging; ships; synthetic aperture radar; SAR images; bilateral CFAR algorithm; bilateral constant false alarm rate algorithm; intensity distribution; kernel density estimation algorithm; sea clutter; ship detection; spatial distribution; synthetic aperture radar images; Clutter; Distribution functions; Graphical models; Kernel; Marine vehicles; Standards; Synthetic aperture radar; Bilateral constant false alarm rate (CFAR); kernel density estimation; ship detection; spatial distribution; synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2015.2412174
