Improved extended fractal feature-based target detection in SAR imagery

被引：0
|
作者：
Yuan Z. [1 ]
He Y. [1 ]
Cai F.-Q. [1 ]
机构：
[1] Research Institute of Information Fusion Technology, Naval Aeronautical and Astronautical University
来源：
Yuhang Xuebao/Journal of Astronautics | 2011年 / 32卷 / 06期
关键词：
Extended fractal; Synthetic aperture radar (SAR); Target detection;
D O I：
10.3873/j.issn.1000-1328.2011.06.027
中图分类号：
学科分类号：
摘要：
An improved extended fractal (IEF) feature is presented in this paper for target detection in synthetic aperture radar (SAR) imagery. The IEF-based detection approach detects targets based on the different responses of target and clutter in IEF feature space, while the target or clutter's response depends on the growth of structure functions over two scales in four directions at its surface. The simulated pulse model is exploited to investigate IEF feature's response to targets with different sizes under various signal-to-noise ratios (SNRs), and the analysis result shows IEF is sensitive to the size of object. The detection performance and space resolution property of IEF feature are examined by using real SAR data under the condition of strong clutter and multi-target environment, and the results indicate the effectiveness of IEF feature.
引用
收藏
页码：1379 / 1385
页数：6
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