首页> 外文会议>Conference on detection and sensing of mines, explosive objects, and obscured targets XIV; 20090413-17; Orlando, FL(US) >Small-scale variability of electromagnetic soil properties and their influence on landmine detection: How to measure, how to analyse, and how to interpret?
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Small-scale variability of electromagnetic soil properties and their influence on landmine detection: How to measure, how to analyse, and how to interpret?

机译:电磁土壤特性的小范围变化及其对地雷探测的影响:如何测量,如何分析以及如何解释?

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摘要

The small-scale variability of physical soil properties has a negative influence on ground exploration with physical sensors. This particularly holds true for small target objects like landmines. Studies were carried out to determine magnetic susceptibility, electric conductivity and dielectric permittivity of natural soils. The spatial variability of the field data is quantitatively characterised by means of geostatistical analysis. We present field measurements on different soils types in Germany and on former minefields in Mozambique. The spatial distribution of magnetic susceptibility is governed by the mineral composition of the soil and its stone content. The correlation lengths are in the range of a few meters. In contrast, electric conductivity and permittivity is mainly determined by soil moisture. Due to the small-scale variability of topsoil water content, these two electric properties often feature very small correlation lengths in the range of decimeters. By way of example, the influence of soil variability on landmine detection is illustrated for radar sensors. Geostatistical simulation techniques are used to generate random soil models which are used for realistic finite-differences (FD) calculations of electromagnetic wave propagation. Permittivity variations appear to have a greater influence on radar detector performance than conductivity variations and can mask the signals from the mines.
机译:物理土壤属性的小范围变化对使用物理传感器进行地面勘探具有负面影响。对于诸如地雷之类的小目标物体尤其如此。进行了研究以确定天然土壤的磁化率,电导率和介电常数。现场数据的空间变异性通过地统计分析进行定量表征。我们提供了德国和莫桑比克以前雷场上不同土壤类型的现场测量结果。磁化率的空间分布取决于土壤的矿物质成分及其石材含量。相关长度在几米的范围内。相反,电导率和介电常数主要由土壤湿度决定。由于表层土壤含水量的小范围变化,这两个电特性通常具有十分之几十亿分之一的相关长度。举例说明了雷达传感器的土壤变异性对地雷探测的影响。地统计学模拟技术用于生成随机土壤模型,该模型用于电磁波传播的实际有限差分(FD)计算。介电常数的变化似乎比电导率的变化对雷达探测器性能的影响更大,并且可以掩盖来自地雷的信号。

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