| 多尺度自卷积方差显著性SAR图像目标检测 |
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| 引用本文： | 王国力,周伟,丛瑜,关键.多尺度自卷积方差显著性SAR图像目标检测[J].应用科学学报,2013,31(6):607-6. |
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| 作者姓名： | 王国力 周伟 丛瑜 关键 |
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| 作者单位： | Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University,
Yantai 264001, Shandong Province, China |
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| 基金项目： | 国家自然科学基金(No.61179017, No.61201445)；“泰山学者”建设工程专项经费资助 |
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| 摘 要： | 针对SAR图像中显著性目标检测问题，提出一种基于多尺度自卷积方差显著性的自适应检测算法. 该算法在对SAR图像多尺度自卷积运算基础上，通过计算MSAV得到方差显著图. 设计了一种自适应阈值检测器，完成SAR图像中显著性目标的检测. 实验结果表明，在复杂背景环境下，所提算法能有效检测出与人类视觉较为一致的显著性目标.
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| 关 键 词： | 合成孔径雷达图像 目标检测 多尺度自卷积 方差显著性 |
| 收稿时间： | 2012-06-14 |
| 修稿时间： | 2012-10-17 |
SAR Image Target Detection Based on Multi-scale Auto-convolution Variance Saliency |
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| 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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| Authors: | WANG Guo-li ZHOU Wei CONG Yu GUAN Jian |
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| Institution: | Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University,;
Yantai 264001, Shandong Province, China |
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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. |
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| Keywords: | target detection multi-scale auto-convolution variance saliency synthetic aperture radar (SAR) image |
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