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Refocus of constant-velocity moving targets in synthetic aperture radar imagery

机译:在合成孔径雷达图像中对等速移动目标进行重新聚焦

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Abstract: The detection and refocus of moving targets in SAR imagery is of interest in a number of applications. In this paper we address the problem of refocussing a blurred signature that has by some means been identified as a moving target. We assume that the target vehicle velocity is constant, i.e., the motion is in a straight line with constant speed. The refocus is accomplished by application of a 2D phase function to the phase history data obtained via Fourier transformation of an image chip that contains the blurred moving target data. By considering separately the phase effects of the range and cross-range components of the target velocity vector, we show how the appropriate phase correction term can be derived as a two-parameter function. We then show a procedure for estimating the two parameters, so that the blurred signature can be automatically refocused. The algorithm utilizes optimization of an image domain contrast metric. We present results of refocusing moving targets in real SAR imagery by this method.!0
机译:摘要:SAR图像中移动目标的检测和重新分析对许多应用感兴趣。在本文中,我们解决了重新切断模糊的签名的问题,这些签名已经被确定为移动目标。我们假设目标车辆速度是恒定的,即,运动以恒定速度的直线。通过将2D相位函数应用于通过包含模糊的移动目标数据的图像芯片的傅立叶变换获得的相位历史数据来实现重新焦点。通过分别考虑目标速度向量的范围和跨距分量的相位效应,我们展示了适当的相位校正项如何导出为双参数函数。然后,我们显示了一种用于估计两个参数的过程,从而可以自动重新切断模糊的签名。该算法利用图像域对比度量的优化。我们通过这种方法提出了重新焦于真实的SAR图像中移动目标的结果。!0

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