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In currently range data processing, the estimate of parameters and patch calculating usually use polynomial to approximate, which often make much more truncation errors.
在目前靶场数据处理中，参数估计与补点计算等常用多项式拟合，往往带来较大的截断误差。
A channel error calibration algorithm based on sub-patch SAR image is proposed, and the spatial adaptive processing is used for the moving target detection and location.
本文提出了一种分块SAR图像通道误差校正算法，进而采用空域自适应处理对慢动目标进行检测及定位。
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