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Polarimetric synthetic aperture radar signature detector

机译:极化合成孔径雷达特征检测器

摘要

A method is provided for processing an acquired polarimetric synthetic aperture radar (SAR) image of a region to identify a candidate pixel that correlates to a target representation. The polarimetric SAR image is composed of a plurality of pixels, and the candidate pixel corresponds to a position in the region that contains a candidate object. The process includes deconstructing J parameter components each sample, obtaining acquired values for the image from select parameter components, acquiring reference values that characterize said parameter components for the target representation, determining distance values each reference value and each acquired value, comparing the distance values against a classification criterion to determine whether the candidate pixel conforms to the target representative. The process may further include extracting N sub-apertures from the polarimetric SAR image, and combining the distance values for the sub-apertures together to obtain distance summations for comparison. The process may additionally include multiplying the distance summations with their corresponding weighting factors to obtain weighted results and combining these to produce a weighted log-likelihood function that identifies whether the pixel conforms to the target. Determining a difference may further include subtracting reference values from their respective acquired values to respectively obtain set of differences, assigning normalized defaults to the differences in response to the difference having a specified relation to parameter thresholds, and otherwise normalizing the difference, and determining natural logs of unity minus said each difference to obtain their distance values.
机译:提供一种用于处理区域的采集的偏振合成孔径雷达(SAR)图像以识别与目标表示相关的候选像素的方法。极化SAR图像由多个像素组成,并且候选像素对应于包含候选对象的区域中的位置。该过程包括:解构每个样本的J个参数分量;从选择的参数分量中获取图像的获取值;获取表征所述参数分量的目标表示的参考值;确定每个参考值和每个获取值的距离值;将距离值与分类标准,以确定候选像素是否符合目标代表。该过程可以进一步包括从极化SAR图像中提取N个子孔径,并将这些子孔径的距离值组合在一起以获得用于比较的距离总和。该过程可以另外包括:将距离总和与其对应的加权因子相乘以获得加权结果,并将这些结果相结合,以产生识别像素是否符合目标的加权对数似然函数。确定差异还可包括:从其各自的获取值中减去参考值,以分别获取差异集;响应于与参数阈值具有指定关系的差异,将标准化的默认值分配给差异;否则对差异进行归一化;以及确定自然对数表示每个差值减去其距离值。

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