Clutter Modeling for Ground-Penetrating Radar Measurements in Heterogeneous Soils

Ground-penetrating radar (GPR) measurement and its interpretation/analysis are challenging when soil is heterogeneous. Soil heterogeneity causes unwanted reflections (i.e., clutter) that disturb reflections from objects of interest. Thorough investigations on soil heterogeneity and clutter are impor...

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Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing Jg. 4; H. 4; S. 739 - 747
Hauptverfasser: Takahashi, Kazunori, Igel, Jan, Preetz, Holger
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.12.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Clutter
Dielectric constant
Geostatistics
Ground penetrating radar
ground-penetrating radar (GPR)
Heterogeneity
Irrigation
landmine detection
Mathematical models
Moisture content
Performance assessment
Radar
Rayleigh scattering
Reflection
scattering
Sensors
soil heterogeneity
Soil measurements
Soil water
Soils
Water content
ISSN:1939-1404, 2151-1535
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Abstract Ground-penetrating radar (GPR) measurement and its interpretation/analysis are challenging when soil is heterogeneous. Soil heterogeneity causes unwanted reflections (i.e., clutter) that disturb reflections from objects of interest. Thorough investigations on soil heterogeneity and clutter are important in order to understand the influence on GPR and assess the performance. In order to observe the influence of heterogeneous soil, an irrigation test was carried out and GPR data were collected after the irrigation and while the distribution of soil water content varied. The correlation length and variability of the dielectric constant of soil were determined by geostatistical analyses of the GPR data. These two parameters were built into a simple model and the Mie solution was theoretically calculated. From this, the power of the backscattered field due to soil heterogeneity was modeled. The results were in agreement with the power of the clutter extracted from the GPR data. Therefore, clutter can be predicted from soil heterogeneity with a simple model using the Mie solution. Furthermore, the result exhibits that scattering by heterogeneous soil is dominated by Mie scattering, rather than Rayleigh scattering, in the studied frequency range.
AbstractList Ground-penetrating radar (GPR) measurement and its interpretation/analysis are challenging when soil is heterogeneous. Soil heterogeneity causes unwanted reflections (i.e., clutter) that disturb reflections from objects of interest. Thorough investigations on soil heterogeneity and clutter are important in order to understand the influence on GPR and assess the performance. In order to observe the influence of heterogeneous soil, an irrigation test was carried out and GPR data were collected after the irrigation and while the distribution of soil water content varied. The correlation length and variability of the dielectric constant of soil were determined by geostatistical analyses of the GPR data. These two parameters were built into a simple model and the Mie solution was theoretically calculated. From this, the power of the backscattered field due to soil heterogeneity was modeled. The results were in agreement with the power of the clutter extracted from the GPR data. Therefore, clutter can be predicted from soil heterogeneity with a simple model using the Mie solution. Furthermore, the result exhibits that scattering by heterogeneous soil is dominated by Mie scattering, rather than Rayleigh scattering, in the studied frequency range.
Author Preetz, Holger
Igel, Jan
Takahashi, Kazunori
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Snippet Ground-penetrating radar (GPR) measurement and its interpretation/analysis are challenging when soil is heterogeneous. Soil heterogeneity causes unwanted...
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SubjectTerms Clutter
Dielectric constant
Geostatistics
Ground penetrating radar
ground-penetrating radar (GPR)
Heterogeneity
Irrigation
landmine detection
Mathematical models
Moisture content
Performance assessment
Radar
Rayleigh scattering
Reflection
scattering
Sensors
soil heterogeneity
Soil measurements
Soil water
Soils
Water content
Title Clutter Modeling for Ground-Penetrating Radar Measurements in Heterogeneous Soils
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