| 快速的Otsu双阈值SAR图像分割法 |
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| 引用本文： | 尹奎英,刘宏伟,金林.快速的Otsu双阈值SAR图像分割法[J].吉林大学学报(工学版),2011,41(6):760-765. |
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| 作者姓名： | 尹奎英 刘宏伟 金林 |
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| 作者单位： | 1. 南京电子技术研究所第一研究部,南京,210013
2. 西安电子科技大学雷达信号处理国家重点实验室,西安,710071 |
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| 基金项目： | 国家自然科学基金项目(60901067,61001212);新世纪优秀人才支持计划项目(NCET-09-0630);长江学者和创新团队发展计划项目(IRT0954);国防预研项目,国防预研基金项目;中央高校基本科研业务费专项基金项目 |
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| 摘 要： | 在分析SAR图像的统计分布特征的基础上,根据SAR图像自动目标识别对SAR图像分割的要求,提出了一种适合SAR图像的Otsu分割算法。算法首先利用CFAR进行粗分割,然后利用Otsu进行细分割。实验结果表明,该算法分割准确且计算量小,客观评价值较高。
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| 关 键 词： | 信息处理技术 合成孔径雷达(SAR) SAR图像分割 SAR图像去噪 Otsu法 |
Fast SAR image segmentation method based on Otsu adaptive double threshold |
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| YIN Kui-ying,LIU Hong-wei,JIN Lin.Fast SAR image segmentation method based on Otsu adaptive double threshold[J].Journal of Jilin University:Eng and Technol Ed,2011,41(6):760-765. |
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| Authors: | YIN Kui-ying LIU Hong-wei JIN Lin |
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| Affiliation: | 1(1.The 1st Research Department,Nanjing Research Institute of Electronics Technology,Nanjing 210013,China;2.National Lab of Radar Signal Processing,Xidian University,Xi′an 710071,China) |
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| Abstract: | In this paper the statistic distribution property of Synthetic Aperture Radar(SAR) image was analyzed.Then a fast Otsu segmentation algorithm for SAR images was proposed,which satisfies the requirements of SAR automatic target recognition on SAR image segmentation.In this proposed algorithm,the Constant False Alarm Rate(CFAR) technique is first employed for coarse segmentation,and then Otsu was adopted for fine segmentation.Experimental results show that the proposed algorithm is not only efficient and accurate,but also can also achieve higher objective evaluation values. |
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| Keywords: | information processing SAR SAR image segmentation SAR image de-noising Otsu method |
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