A Ground Moving Target Detection Approach Based on Shadow Feature With Multichannel High-Resolution Synthetic Aperture Radar
A Ground Moving Target Detection Approach Based on Shadow Feature With Multichannel High-Resolution Synthetic Aperture Radar
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DOI：
10.1109/lgrs.2016.2597159
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发表时间：
2016-08
影响因子：
4.8
通讯作者：
Huajian Xu;Zhiwei Yang;Guozhong Chen;G. Liao;M. Tian
中科院分区：
文献类型：
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作者：
Huajian Xu;Zhiwei Yang;Guozhong Chen;G. Liao;M. Tian
随着雷达观测距离的增加，多通道高分辨率合成孔径雷达系统可能会出现目标信噪比降低的问题，从而导致地面运动目标指示（GMTI）的探测性能下降。幸运的是，除了运动目标的振幅和干涉相位外，阴影特征可以提高目标检测的性能。本文根据运动物体与其阴影在位置和大小上的几何关系，提出了一种基于阴影的GMTI方法。此外，讨论了一种基于多特征融合的高效阴影检测方法，以提高阴影检测性能。最后，数值仿真结果表明，与传统检测算法相比，阴影辅助方法具有更好的检测性能。
With the observation distance of the radar increasing, the multichannel high-resolution synthetic aperture radar system may suffer from the reduction of the target signal-to-noise ratio, which leads to degradation in the detection performance for ground moving target indication (GMTI). Fortunately, the shadow feature, apart from the amplitude and interferometric phase of a moving target, may be available to improve the performance for target detection. In this letter, according to the geometric relationships between the moving object and its shadow in position and size, a shadow-aided method for GMTI is proposed. In addition, an efficient shadow detection method based on multifeature fusion is discussed to improve the shadow detection performance. Finally, numerical simulation results show that the shadow-aided method has a better detection performance, compared with the traditional detection algorithms.