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The Viterbi algorithm as an approach for incorporating spatial information into air/ground interface inference in GPR data

机译:维特比算法是一种将空间信息合并到GPR数据的空中/地面接口推断中的方法

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Rough surfaces present an impediment to the detection of buried threats with ground penetrating radar (GPR). Besides introducing artifacts in the sub-surface due to rough scattering, very rough or uneven surfaces can make inference of the location of the ground response from GPR data difficult. Since many algorithms rely on the accurate localization of the air/ground interface, mistakes in ground location inference can cause significant increases in false alarm rates. Many different approaches to localizing the ground in a particular A-scan have been proposed, but sharing information across multiple A-scans to form a realistic, smoothly varying ground response over many spatial locations is a difficult problem that often requires computationally expensive approaches for adequate solutions. In this work we present an application of the well-known Viterbi algorithm for accurate localization of the air/ground interface based on hypothesized locations from multiple nearby A-scans. Our implementation of the Viterbi algorithm enables principled incorporation of prior information into the ground tracking framework, and provides a solution capable of adapting computational complexity to the severity of the ground localization problem. Furthermore, the Viterbi algorithm can act as a meta-algorithm, allowing the use of different A-scan based ground detectors as input, for example. This work illustrates how the Viterbi algorithm can be incorporated into pre-screening algorithms to provide improved target detection rates at lower false alarm rates
机译:粗糙的表面阻碍了使用探地雷达(GPR)探测掩埋的威胁。除了由于粗糙的散射而在子表面中引入伪影外,非常粗糙或不平坦的表面也会使从GPR数据推断地面响应的位置变得困难。由于许多算法都依赖于空中/地面接口的准确定位,因此地面位置推断的错误会导致误报率的显着提高。已经提出了许多在特定的A扫描中定位地面的不同方法,但是要在多个A扫描中共享信息以在许多空间位置上形成现实的,平滑变化的地面响应是一个难题,通常需要计算昂贵的方法才能实现解决方案。在这项工作中,我们提出了一个著名的维特比算法的应用,该算法基于来自多个附近A扫描的假设位置来精确定位空中/地面接口。我们对维特比算法的实施使原则上可以将先验信息纳入地面跟踪框架,并提供了一种能够使计算复杂度适应地面定位问题严重性的解决方案。此外,维特比算法可以充当元算法,例如,允许使用基于A扫描的不同地面探测器作为输入。这项工作说明了如何将维特比算法结合到预筛查算法中,从而以较低的误报率提供改进的目标检测率

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