An algorithm of ship target detection based on the adaptive background window function

被引：2

作者：

Li, Yachao ^{[1
]}

Zhou, Ruiyu ^{[1
]}

Quan, Yinghui ^{[1
]}

Xing, Mengdao ^{[1
]}

机构：

[1] National Laboratory of Radar Signal Processing, Xidian University

来源：

Li, Y. | 2013年 / Xi'an Jiaotong University卷 / 47期

关键词：

Constant false alarm; K-distribution; Ship target detection; Synthetic aperture radar;

D O I：

10.7652/xjtuxb201306005

中图分类号：

学科分类号：

摘要：

An adaptive detection algorithm is proposed to solve on the problem in the application of the SAR images that the traditional target detection algorithms, which are on the basis of sliding window, cannot give an accurate detection to targets that are in short distances, near to the coast, or very different in size. The method separates the sea surface using threshold filtering, and then the targets to be detected are obtained by counting the pixel volume of targets and eliminating the most acreage of the land. Adaptive windows are set according to the pixel distribution. The K-distribution possibility model of the scenes near the targets is obtained by separating the counting of the target pixel from the counting of the background pixel on adaptive windows. The adaptive window detection algorithm has the advantages of achieving accurate statistics of background pixel of targets and K-distribution fitting over the traditional target detection algorithm. Experimental results show that the quality factor of the proposed adaptive window detection algorithm is 0.34 higher than that of the traditional target detection algorithm when the detecting is performed on the SAR images with the circumstances of the complicated sea surface and the same CFAR condition.

引用

页码：25 / 30

页数：5

共 14 条

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