Paper
10 May 2019 On the use of multiresolution analysis for subsurface object detection using deep ground penetrating radar
Dominic K. C. Ho, Pooparat Plodpradista
Author Affiliations +
Abstract
New ground penetrating radars for the vehicle mounted system can penetrate further into the ground, providing the opportunity of detecting objects that are deeply buried. A deep target has less obvious edge behaviors, especially if it has low-metal or non-metal content, making the edge based algorithm less effective for the detection. We shall explore the use of multiresolution time-frequency analysis technique by the log-Gabor filters to improve the detection of deep targets. They act on the 2-D image at an alarm location, generate multiresolution outputs and produce classification features for detection. The multiresolution analysis is able to preserve the edge behavior while at the same time forms the extra dimension of resolution (frequency) to better characterize a target signature for distinction with false alarms. Results on the detection performance at two government test sites validate the encouraging performance of the proposed detector.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dominic K. C. Ho and Pooparat Plodpradista "On the use of multiresolution analysis for subsurface object detection using deep ground penetrating radar", Proc. SPIE 11012, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 1101209 (10 May 2019); https://doi.org/10.1117/12.2519389
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Cited by 1 scholarly publication.
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KEYWORDS
Target detection

Detection and tracking algorithms

Ground penetrating radar

Analytical research

Sensors

Fourier transforms

Time-frequency analysis

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