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扩展分形法结合B-CFAR在SAR图像目标检测中的应用 被引量:3

Application of Extended Fractal with B-CFAR to Target Detection on SAR Image
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摘要 针对文献 [1]的扩展分形 (ExtendedFractal,EF)方法 ,分析了EF特征的优劣性。结合SAR图像的统计特性 ,本文将EF检测与双参数恒虚警率 (Bi parameterConstantFalseAlarmRate,B CFAR)检测相结合 ,提出两个改进方案 :一、利用两种特征的融合信息[2 ] 在决策层决策的检测方案 ;二、先用B CFAR增强感兴趣目标区域 (RegionofInterest,ROI) ,在此处理之后再用EF法检测。我们将这两种方案运用在复杂的二维SAR图像飞机检测中 。 Two improved methods combining Extended Fractal (EF) detection presented by reference^([1]) with Bi-parameter Constant False Alarm Rate (B-CFAR) detection are given in this paper by analyzing the advantages and disadvantages of EF features and combining synthetic aperture radar image's statistic characters. One is double-feature fusion technique^([2]) used in decision-making. The other is to use EF detection on regions of interest that are firstly enhanced by pre-processing with B-CFAR detection. Excellent detection effect can be obtained by using the two improved methods for airplane detection on the complicated two-dimension SAR image.
出处 《雷达科学与技术》 2004年第5期279-283,共5页 Radar Science and Technology
关键词 合成孔径雷达图像 扩展分形 双参数恒虚警概率 目标检测 synthetic aperture radar image extended fractal bi-parameter constant false alarm rate target detection
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