| 基于CFAR的SAR图像分割 |
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| 引用本文： | 郑文,张鑫.基于CFAR的SAR图像分割[J].河北职业技术学院学报,2011(4). |
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| 作者姓名： | 郑文 张鑫 |
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| 作者单位： | 滨州学院; |
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| 基金项目： | 滨州学院青年人才创新工程项目(BZXYQNLG200828) |
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| 摘 要： | 选用瑞利分布模型对SAR图像进行恒虚警率(CFAR)检测。提出新的参考窗口选取方法,并针对虚警特点提出新的均值估计方法。实验证明,与一般的均值估计方法相比,文中提出的均值估计方法是可行的、有效的,且与其中提出的参考窗口选取方法相结合能更好地去除虚警,保留目标信息。
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| 关 键 词： | 恒虚警率CFAR 合成孔径雷达 图像分割 |
Segmentation in SAR Image Based on CFAR |
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| ZHENG Wen,ZHANG Xin.Segmentation in SAR Image Based on CFAR[J].Journal of Hebei Polytechnic,2011(4). |
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| Authors: | ZHENG Wen ZHANG Xin |
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| Institution: | ZHENG Wen,ZHANG Xin |
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| Abstract: | This select Rayleigh distribution model to recognize on SAR image based on constant false alarm rate.First,annular reference window is selected for boundary pixels.Second,new method of estimating mean value is proposed.Experiments validate that the method is feasible and effective,compared this method with other methods.This concludes that our algorithm receives better segmentation results on multi-goals SAR image. |
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| Keywords: | constant false alarm recognition(CFAR) synthetic aperture radar image segmentation |
| 本文献已被 CNKI 等数据库收录！ |
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