探地雷达地下目标亮度和可见度建模
Modeling Buried Object Brightness and Visibility for Ground Penetrating Radar
摘要：
比较不同埋地物体的观测亮度是表征探地雷达（GPR）系统性能的一种简单方法。然而，出现了限制。简单地比较被埋物体的亮度值并不能将探地雷达系统本身的影响与系统的工作环境和被观察物体的影响分开。因此，亮度值表现出未知的综合系统，环境和对象因素，探地雷达系统分析成为一个错综复杂的事情。在这项工作中，我们使用实验收集的数据集超过25，000对象的观察，从五个不同的多基地雷达阵列开发模型的埋地物体的亮度和控制这些各种影响。我们的建模工作提供了一种手段，用于量化的相对亮度的GPR系统，他们检测到的对象，这些对象的物理特性，影响观察到的亮度。为了评估模型在新对象观测上的性能，我们反复模拟将它们拟合到一半的数据集，并预测看不见的那一半的观测亮度值。此外，我们介绍了一种方法来估计概率，个别观察构成一个可见的对象，这有助于故障分析，性能表征和数据集清洗。
英文摘要：
Comparing the observed brightness of various buried objects is a straightforward way to characterize the performance of a ground penetrating radar (GPR) system. However, a limitation arises. A simple comparison of buried object brightness values does not disentangle the effects of the GPR system itself from the system's operating environment and the objects being observed. Therefore, with brightness values exhibiting an unknown synthesis of systemic, environmental, and object factors, GPR system analysis becomes a convoluted affair. In this work, we use an experimentally collected dataset of over 25,000 object observations from five different multi-static radar arrays to develop models of buried object brightness and control for these various effects. Our modeling efforts provide a means for quantifying the relative brightness of GPR systems, the objects they detect, and the physical properties of those objects which influence observed brightness. To evaluate the models' performance on new object observations, we repeatedly simulate fitting them to half the dataset and predicting the observed brightness values of the unseen half. Additionally, we introduce a method for estimating the probability that individual observations constitute a visible object, which aids in failure analysis, performance characterization, and dataset cleaning.
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