Journal of Applied Sciences ›› 2013, Vol. 31 ›› Issue (6): 607-6.doi: 10.3969/j.issn.0255-8297.2013.06.009
• Signal and Information Processing • Previous Articles Next Articles
WANG Guo-li, ZHOU Wei, CONG Yu, GUAN Jian
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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
CLC Number:
TP79
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.
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URL: https://www.jas.shu.edu.cn/EN/10.3969/j.issn.0255-8297.2013.06.009
https://www.jas.shu.edu.cn/EN/Y2013/V31/I6/607