| 引用本文: | 贺志国,周晓光,陆军,等.一种基于G0分布的SAR图像快速CFAR检测方法.[J].国防科技大学学报,2009,31(1):47-51.[点击复制] |
| HE Zhiguo,ZHOU Xiaoguang,LU Jun,et al.A Fast CFAR Detection Algorithm Based on the G0 Distribution for SAR Images[J].Journal of National University of Defense Technology,2009,31(1):47-51[点击复制] |
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| 一种基于G0分布的SAR图像快速CFAR检测方法 |
| 贺志国, 周晓光, 陆军, 匡纲要 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 杂波统计模型是决定CFAR检测算法性能的关键因素。G0分布能对单视和多视SAR图像中均匀、一般不均匀和极不均匀区域精确建模，但存在参数估计复杂、阈值表达式难以求解的问题，限制了其实用性。针对这些问题，分别采用矩估计法和二分法来完成参数的估计和阈值的求取，并通过目标区域预筛选和迭代计算等手段进一步提高了计算效率，得到了一种兼顾检测效果和效率的快速CFAR检测方法。实验结果验证了该方法的有效性。 |
| 关键词: G0分布 CFAR检测 SAR图像 参数估计 |
| DOI： |
| 投稿日期：2008-06-16 |
| 基金项目:国家自然科学基金资助项目(60772045) |
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| A Fast CFAR Detection Algorithm Based on the G0 Distribution for SAR Images |
| HE Zhiguo, ZHOU Xiaoguang, LU Jun, KUANG Gangyao |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The statistical model of clutter is a key factor which determines the performance of a CFAR algorithm for target detection in SAR image. The distribution is able to accurately model the homogeneous, heterogeneous and extremely heterogeneous regions in a single look or multi-look SAR image. But its applicability is greatly limited by its disadvantages that the parameter estimation is complex and the threshold cannot be acquired easily. In view of these problems, this paper uses the moment estimation and dichotomy method to complete the parameter estimation and the threshold acquirement. In addition, pre-filtering the target candidate regions and iterative calculation are used to increase the efficiency. A new algorithm is proposed, aiming at the effectiveness and efficiency at the same time. The experimental results prove its practicability. |
| Keywords: G0 distribution CFAR detection SAR images parameter estimation |
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