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Improving Detection and Discrimination of Buried Metallic Objects in Magnetic Geologic Settings by Modeling theBackground Soil Response

机译:通过对背景土壤响应进行建模,改善磁性地质环境中埋藏的金属物体的检测和判别

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摘要

Magnetic soils are a major source of false positives when searching for unexploded ordnance with electromagnetic induction sensors. In adverse areas up to 30% of identified electromagnetic induction anomalies have been attributed to geology. In the presence of magnetic soil, sensor movement and surface topography can cause anomalies in the data that have similar size and shape to those from compact metallic targets. In areas where the background geological response is small relative to the response of metallic targets, electromagnetic induction data can be inverted for the dipole polarization tensor. However, spatially correlated noise from the presence of a geologic background greatly reduces the accuracy of dipole polarization estimates. In this presentation we examine the effects of sensor movement on the measured EM response of a magnetic background signal. We demonstrate how sensor position and orientation information can be used to model the background soil response and improve estimates of a target's dipole polarization tensor.
机译:当用电磁感应传感器搜索未爆炸弹药时,磁性土壤是假阳性的主要来源。在不利地区,高达30%的电磁感应异常是由于地质原因造成的。在存在磁性土壤的情况下,传感器的移动和表面形貌会导致数据异常,该异常的大小和形状与紧凑型金属目标的数据相似。在背景地质响应相对于金属目标的响应较小的区域,可以将电磁感应数据反转为偶极极化张量。但是,由于地质背景的存在,与空间相关的噪声大大降低了偶极极化估计的准确性。在本演示中,我们研究了传感器运动对磁性背景信号测得的EM响应的影响。我们演示了如何将传感器的位置和方向信息用于对背景土壤响应进行建模并改善目标偶极极化张量的估计。

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