Ground penetration radar is very promising technology for underground or behind walls detection with high resolution.
Recently various development has been introduced in GPR signal processing, multispectral sensors have been used
over the years to collect the underground images. In the term of detecting and identify water underground GPR will
detect water either by the voids created in the soil or by detecting the anomalies in the depth as the velocity of
propagation changes due to the soil saturation with the water. The potential of ground penetration radar for water
detection is affected by the type of soils, soil conductivity is an important factor, conductive soils like clay and moist
tend to distort the signals which makes it hard to obtain good information about the underground structures.
In this study the aim was to detect underground water and removing clutter and noises represented by different soil
situations, multiple signal processing methods has been implemented such as PCA, ICA, PICA and few filtering
methods such as Gaussian, Median and compared their capabilities to find the best method in different soil situations.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | October 1, 2019 |
Published in Issue | Year 2019 Volume: 9 Issue: 4 |