SAR图像中的运动目标检测:实验结果

D. Coe, R. White
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引用次数: 50

摘要

长期以来,人们一直认为SAR图像中运动目标的检测具有相当大的实用性,大大增加了衍生信息的价值。然而,探测运动目标的一个主要障碍是由于空气或航天器的运动而使杂波频谱变宽。这限制了无杂波频谱空间的区域,其中可以检测到移动目标,并且在某些情况下(例如天基雷达),该区域变得可以忽略不计。一个潜在的解决方案是使用多个空间信息通道,例子包括使用位移相位中心天线(DPCA)和时空自适应处理(STAP)。我们概述了双通道DPCA的背景理论,并展示了在理想条件下杂波消除的潜力。然后,我们展示了实验双通道c波段SAR的结果。这允许将检测到的运动目标覆盖在背景SAR图像上,并且可以将实际得到的杂波改善与预测进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving target detection in SAR imagery: experimental results
The detection of moving targets in SAR imagery has long been recognised as being of considerable utility adding much to the value of the derived information. A major obstacle to the detection of moving targets, however, is the broadening of the clutter spectrum as a result of air or spacecraft motion. This restricts the region of clutter free spectral space in which moving targets may be detected and in some cases (for example space based radar) this region becomes negligible. One potential solution is to use more than one spatial channel of information and examples include the use of displaced phase centre antennas (DPCA) and space-time adaptive processing (STAP). We present an overview of the background theory to dual channel DPCA and demonstrate the potential for clutter cancellation under ideal conditions. We then present results from an experimental dual channel C-band SAR. This allows the detected moving target to be overlaid on the background SAR image and the actual clutter improvement obtained can be compared with that predicted.
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