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Target detection with synthetic aperture radar

机译:合成孔径雷达的目标检测

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摘要

Target detection with synthetic aperture radar (SAR) is considered. We derive generalized likelihood ratio (GLR) detection algorithms that may be used with SAR images that are obtained with coherent subtraction or have Gaussian distributions. We analytically compare the performance of (1) a single pixel detector, (2) a detector using complete knowledge of the target signature information and known orientation information, (3) a detector using incomplete knowledge of the target signature information and known orientation information (4) a detector using unknown target signature information and known orientation information, and (5) a detector using unknown target signature information and unknown orientation information.
机译:考虑使用合成孔径雷达(SAR)进行目标检测。我们推导了广义似然比(GLR)检测算法,该算法可与通过相干减法或具有高斯分布的SAR图像一起使用。我们在分析上比较(1)单像素检测器,(2)使用目标签名信息和已知方向信息的完整知识,(3)使用目标签名信息和已知方向信息的不完整知识的检测器( 4)使用未知目标签名信息和已知方向信息的检测器,以及(5)使用未知目标签名信息和未知方向信息的检测器。

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