利用聚类技术对消杂波快速合成孔径雷达图像进行运动目标检测

D. McGarry, D. Zasada, P. Sanyal, R. Perry
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引用次数: 0

摘要

合成孔径雷达(SAR)图像中运动目标的检测和跟踪能力已成为当前研究的热点。一种用于SAR图像中运动目标检测的多通道相位干涉测量技术已经报道了一段时间。他们还表明,两个通道之间的相位干涉测量可以通过从另一个通道中减去图像的相位加权版本来消除一个通道中的地杂波。这是类似的,但不相同的,众所周知的DPCA(位移相位中心天线)技术的杂波消除。本文报道了一种我们成功地用于检测运动目标的聚类技术,在几乎所有情况下,运动目标在消除杂波的SAR图像中占据不止一个或几个像素。这种技术大大减少了误报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using a clustering technique for detection of moving targets in clutter-cancelled QuickSAR images
The ability to detect and track moving targets in synthetic aperture radar (SAR) images has become a topic of much current research. The authors have been reporting on a multi-channel phase interferometry technique for detecting moving targets in SAR images for some time. They have also shown that the phase interferometry between two channels can be utilized to cancel ground clutter from one channel by subtracting a phase-weighted version of the image from the other channel. This is analogous to, but not the same as, the well known DPCA (displaced phase center antenna) technique for clutter cancellation. This paper reports on a clustering technique we have successfully used to detect moving targets, which in almost all cases occupy many more than one or a few pixels in the clutter-cancelled SAR image. This technique greatly reduces false alarms.
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