Using fractal dimension to target detection in bistatic SAR data

被引：11

作者：

Cherouat, Soumeya ^{[1
]}

Soltani, Faouzi ^{[1
]}

Schmitt, Francoise ^{[2
]}

Daout, Franck ^{[2
]}

机构：

[1] Univ Constantine 1, Lab Signaux & Syst Commun, Dept Elect, Constantine 25000, Algeria

[2] ENS Cachan, UMR 8029, Equipe TIM, SATIE, Cachan, France

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2015年 / 9卷 / 02期

关键词：

SAR data; Fractal dimension; K distribution; Box counting method; Targets probability of detection; SIGNALS;

D O I：

10.1007/s11760-013-0453-2

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes an algorithm for estimating the fractal dimension of real sea bistatic synthetic aperture radar data. The algorithm is based on the use of the fractal dimension estimated by the box counting method to detect the sub-data which contain the targets. Based on this approach, the performance of the fractal detector proposed in this paper was demonstrated by the evaluation of the probability of detection by means of Monte Carlo simulation and was verified that we can use the fractal dimension to distinguish between targets and clutter, even for a small signal-to-noise ratio.

引用

页码：365 / 371

页数：7

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