| 基于方向性粗糙度特征的SAR目标检测算法 |
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| 引用本文： | 胡风明,杨汝良.基于方向性粗糙度特征的SAR目标检测算法[J].系统仿真学报,2010,22(1). |
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| 作者姓名： | 胡风明 杨汝良 |
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| 作者单位： | 1. 中国科学院电子学研究所,北京,100190;中国科学院研究生院,北京,100190
2. 中国科学院电子学研究所,北京,100190 |
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| 摘 要： | 针对扩展分形(EF)特征检测SAR目标虚警率高的不足,提出了基于方向性粗糙度特征(Directional Roughness Feature,DRF)对SAR图像目标检测的算法。该算法用指数小波在一个尺度和任意一个方向θ(0 0<θ<900)上对SAR图像滤波,对滤波后图像应用能量关系函数求各像素点的DRF进行目标检测。针对X波段和Ka波段的SAR图像,确定了用该算法检测目标的最优参数。分别用该算法和EF特征方法对不同波段SAR图像进行目标检测,结果表明该算法具有检测虚警率低和目标空间可分辨性高的优点。
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| 关 键 词： | 合成孔径雷达(SAR) 目标检测 指数小波 方向性粗糙度特征(DRF) 扩展分形特征 |
Method for SAR Target Detection Using Directional Roughness Feature |
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| HU Feng-ming,YANG Ru-liang.Method for SAR Target Detection Using Directional Roughness Feature[J].Journal of System Simulation,2010,22(1). |
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| Authors: | HU Feng-ming YANG Ru-liang |
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| Institution: | HU Feng-ming1,2,YANG Ru-liang1(1.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China,2.Graduate University,China) |
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| Abstract: | As detected results false alarm rate high using Extended Fractal(EF) feature for SAR target detection,an efficient method was proposed based on Directional Roughness Feature(DRF) for SAR image target detection.The proposed method image pixel obtained from the energy relation function was used to detect target.The optimal parameters of the method were determined for X-band and Ka-band SAR images.The comparison of detection results respectively using DRF and EF feature for different band SAR images shows the ... |
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| Keywords: | SAR target detection exponential wavelet directional roughness feature(DRF) EF feature |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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