Hydro-electromagnetic properties in ground-penetrating radar field target detection studies
| Autor: | Joe Keranen, Fridon Shubitidze, Jonathan Miller, Gregory Schultz |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Data processing
Hydrogeology 0211 other engineering and technologies Hydrogeophysics Experimental data 04 agricultural and veterinary sciences 02 engineering and technology Sensor fusion law.invention law Ground-penetrating radar Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Radar 021101 geological & geomatics engineering Remote sensing |
| Zdroj: | Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV. |
| DOI: | 10.1117/12.2519196 |
| Popis: | Recent work in context-dependent processing for buried threat detection has revealed the potential of exploiting correlated environmental parameters in ground-penetrating radar (GPR) imaging, detection and discrimination, as well as data fusion approaches. In order to fully understand the physical phenomenology and develop performance predictions, we need to correlate measurable environmental parameters to GPR performance. We focus on hydro-meteorological and hydrogeologic properties such as temperature, humidity, soil water matric potential, soil water content, and sediment density and texture to understand the hydrogeophysical relationships and methods to incorporate them into optimal experimental design and data processing. Varying levels of data and information quality are assessed to quantify the sensitivity of GPR acquisition and processing methods to environmental contextual information. Both numerical modeling and experimental data collection are used to evaluate soil water controls on three-dimensional electromagnetic wave propagation. We present the analysis of experimental data collected in a new instrumented test bed facility constructed for assessing various configurations of air- or ground-coupled GPR systems. We assess factors such volume integration scale, measurement scaling and accuracy of the various hydro-electromagnetic sensing methods in terms of understanding multi-static radar angular illumination and imaging performance. |
| Databáze: | OpenAIRE |
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