Moving targets indication method in single SAR imagery based on sparse representation and road information

被引：0

作者：

Shi, Hong-Yin ^{[1
]}

Zhang, Nuo ^{[1
]}

机构：

[1] School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, Hebei

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2015年 / 43卷 / 03期

关键词：

Compressive sensing; Doppler ambiguity; Moving targets detection; Road detection; Sparse representation;

D O I：

10.3969/j.issn.0372-2112.2015.03.003

中图分类号：

学科分类号：

摘要：

A method of moving target indication in single SAR(Synthetic Aperture Radar) imagery is proposed. First, a road detection method based on compressive sensing for single SAR image is presented, the fuzzy C mean method is used to classify the SAR image according to the road characteristics of the SAR images, and the road pixels are extracted. Then it shows how compressive sensing can be used to find lines in images, by exploiting sparseness in the Hough transform domain. Secondly, the moving targets are detected by a indication method based on sparse representation. In SAR image, different velocities of moving target lead to different defocuses and range cell migration. Based on this character, the over-complete dictionary of targets sample images with different speeds is constructed. Then the test SAR images are blocked into sub-images and the corresponding coefficients are calculated with the dictionary. According to the coefficients, moving target can be detected and the motion parameters can be estimated. Finally, the effects of Doppler ambiguity on motion parameters estimation are eliminated, and the false target and calibrate motion parameters are excluded. The results of experiments indicate the effectiveness of the proposed method. ©, 2015, Chinese Institute of Electronics. All right reserved.

引用

页码：431 / 439

页数：8

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