Paper
2 August 1999 Clutter reduction technique for GPR data from minelike targets
A. van der Merwe, Inder Jiti Gupta, Leon Peters Jr.
Author Affiliations +
Abstract
In this paper a signal processing technique is developed to reduce clutter due to ground bounce in ground penetrating radar (GPR) measurements. This technique is especially useful when a GPR is used to detect subsurface anti- personnel mines. The GPR clutter is modeled using a simple parametric model. Buried mine and clutter contributions are separated through a set of iterative subspace projections. The algorithm outperforms existing clutter reduction approaches and also yields target feature which are useful for detection and identification of these mines. It is shown that the proposed technique increases the probability of detection and at the same time significantly decreases the false alarm rates when combined with a matched filter detector.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. van der Merwe, Inder Jiti Gupta, and Leon Peters Jr. "Clutter reduction technique for GPR data from minelike targets", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.356990
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
General packet radio service

Dielectrics

Mining

Detection and tracking algorithms

Target detection

Sensors

Land mines

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