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Moving Target Detection and Tracking Based on Gmphd Filter in SAR System

机译：SAR系统中基于Gmphd滤波器的运动目标检测与跟踪

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摘要

In this paper, a novel moving target detection and tracking approach is presented based on Gaussian mixture probability hypothesis density (GMPHD) filter in synthetic aperture radar (SAR). Based on the advantages of GMPHD filter and the characteristics of moving target in SAR imagery, GMPHD filter is employed on potential moving target candidates extracted from a sequence of temporal and spatial sub-aperture SAR images to detect and track the moving targets in heavy clutter environment. Utilizing the tracking algorithm, the states and the number of moving targets are obtained over time. Simultaneously, the strong ground stationary clutter lacking of the dynamic behavior is eliminated finally. Both simulation and real Gotcha data set processing results are provided to demonstrate the effectiveness of the proposed approach.
机译：本文基于合成孔径雷达（SAR）中的高斯混合概率假设密度（GMPHD）滤波器，提出了一种新的移动目标检测和跟踪方法。基于Gmphd滤波器的优点和SAR图像中的移动目标的特点，Gmphd滤波器用于从一系列时间和空间子孔径SAR图像中提取的电位移动目标候选，以检测和跟踪重型杂波环境中的移动目标。利用跟踪算法，随着时间的推移获得状态和移动目标的数量。同时，最后消除了强大的地面静脉杂波缺乏动态行为。提供仿真和真实的GOTCHA数据集处理结果，以证明所提出的方法的有效性。

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