收稿日期: 2009-06-24
修回日期: 2009-09-14
网络出版日期: 2010-01-15
A new ship detection algorithm based on local K-distribution in SAR images
Received date: 2009-06-24
Revised date: 2009-09-14
Online published: 2010-01-15
艾加秋 , 齐向阳 . 一种基于局部K-分布的新的SAR图像舰船检测算法[J]. 中国科学院大学学报, 2010 , 27(1) : 36 -42 . DOI: 10.7523/j.issn.2095-6134.2010.1.005
The new ship detection algorithm based on local K-distribution proposed in this paper uses a target window and a background window, removes the leaked ship pixels in the background window by using special methods, and estimates the remaining pixels in the background window to get the local clutter’s gray mean and variance. Then the local clutter’s gray probability distribution can be modeled to realize CFAR detection. Compared with K-distribution CFAR detector and local K-distribution CFAR detector, the new algorithm can fit the local change of the sea clutter and detect the targets which are too near. The simulation results show the effectiveness of the new algorithm.
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