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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Finding Underground Targets by Means of Change-Detection Methods in Huynen Spaces
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Finding Underground Targets by Means of Change-Detection Methods in Huynen Spaces

机译：借助慧能空间中的变化检测方法寻找地下目标

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摘要

A different and useful approach is presented for detecting new events in a scene, such as the presence or absence of landmines or perhaps the movement of people, vehicles, or structures. The approach rests on the radar examination of an area several times, once, before there are targets present, and the other (or others) after. The change detection algorithm notices if there are any changes after the first view. In the present approach the prospective target is represented, not in terms of three complex elements of a scattering matrix, but in terms of phenomenologically-based Huynen parameters. Each element of the Huynen parameter set conveys a different type of physical and geometrical attribute about the scatterers, thus the potential for significant false-alarm mitigation is increased. We provide results of the application of this approach on fully polarimetric signatures of simulated pairs of buried cylindrical targets. These results indicate the following. 1) Huynen parameters are more effective for change detection than the scattering matrix elements because of their ability to generate higher unambiguous autocorrelation peaks and fewer dominating cross-correlation curves. 2) A large number of symmetries are observed in the plots of the Huynen parameters for both one and two buried cylinders. These symmetries may eventually lead to further classification insights. 3) By using standard Prony methods, relevant resonance frequencies are extracted from the parameter plots, from which the height of either one of the cylinders is estimated. 4) The diameter of either cylinder can also be obtained by a simple procedure based on ray-tracing and time delays. Numerical calculations substantiate all the above assertions.
机译：提出了一种不同而有用的方法来检测场景中的新事件，例如是否存在地雷或者可能是人员，车辆或建筑物的移动。该方法基于一次对某个区域的雷达检查，一次是在存在目标之前，另一次是在其他目标之后。更改检测算法会通知在第一个视图之后是否有任何更改。在本方法中，不是根据散射矩阵的三个复杂元素，而是根据基于现象学的惠恩参数来表示预期目标。 Huynen参数集的每个元素都传达了有关散射体的不同类型的物理和几何属性，因此，显着减轻虚假警报的可能性增加了。我们提供了这种方法在模拟成对的埋入式圆柱靶的全极化特征上的应用结果。这些结果表明如下。 1）Huynen参数比散射矩阵元素更有效地进行变化检测，因为它们能够生成更高的明确自相关峰和更少的主导互相关曲线。 2）在一个惠恩参数的图中，对于一个和两个埋藏的圆柱体，发现了大量的对称性。这些对称性最终可能导致进一步的分类见解。 3）通过使用标准的Prony方法，从参数图中提取相关的共振频率，据此可以估算出其中一个气缸的高度。 4）也可以通过基于光线跟踪和时间延迟的简单过程来获得每个圆柱的直径。数值计算证实了以上所有主张。

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