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Journal of Applied Sciences >

2013 , Vol. 31 >Issue 6: 607 - 6

DOI: https://doi.org/10.3969/j.issn.0255-8297.2013.06.009

Signal and Information Processing

SAR Image Target Detection Based on Multi-scale Auto-convolution Variance Saliency

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  • Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University,
    Yantai 264001, Shandong Province, China

Received date: 2012-06-14

  Revised date: 2012-10-17

  Online published: 2012-10-17

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Abstract

 To detect salient objects in SAR image, an adaptive detection method is proposed based on multi-scale auto-convolution variance (MSAV) saliency. With multi-scale auto-convolution operation in SAR image and by calculating MSAV, a variance saliency map is obtained. An auto-threshold-selecting detector is
constructed and salient object detection from the SAR image is achieved. Experimental results show that, by applying the proposed algorithm to a complex scene, salient objects consistent with human visual sense can be effectively detected.

Key words： target detection; multi-scale auto-convolution; variance saliency; synthetic aperture radar (SAR) image

Cite this article

WANG Guo-li, ZHOU Wei, CONG Yu, GUAN Jian . SAR Image Target Detection Based on Multi-scale Auto-convolution Variance Saliency[J]. Journal of Applied Sciences, 2013 , 31(6) : 607 -6 . DOI: 10.3969/j.issn.0255-8297.2013.06.009

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