
Proceedings Paper
Spectral diversity for ground clutter mitigation in forward-looking GPRFormat | Member Price | Non-Member Price |
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Paper Abstract
The operational constraints associated with a forward-looking ground-penetrating radar (GPR) limit the ability of the
radar to resolve targets in the dimension orthogonal to the ground. As such, detection performance of buried targets is
greatly inhibited by the relatively large response due to surface clutter. The response of buried targets differs from surface
targets due to the interaction at the boundary and propagation through the ground media. The electromagnetic properties of
the media, interrogation frequency, depth of buried target, and location of the target with respect to the the sensing platform
all contribute to the shape, position, and magnitude of the point spread function (PSF). The standard FLGPR scenario
produces a wide-band data set collected over a fixed set of observation points. By observing the shape, position, and
amplitude behavior of the PSF as a function of frequency and sensor position (time), energy resulting from surface clutter
can be separated from energy resulting from buried targets. There are many possible ways beyond conventional image
resolution that might be exploited to improve distinction between buried targets and surface clutter. This investigation
exploits the frequency dependence of buried targets compared to surface targets using a set of sub-banded images.
Paper Details
Date Published: 3 May 2016
PDF: 18 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98231M (3 May 2016); doi: 10.1117/12.2229072
Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)
PDF: 18 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98231M (3 May 2016); doi: 10.1117/12.2229072
Show Author Affiliations
Adam Webb, Michigan Technological Univ. (United States)
Timothy C. Havens, Michigan Technological Univ. (United States)
Timothy C. Havens, Michigan Technological Univ. (United States)
Timothy J. Schulz, Michigan Technological Univ. (United States)
Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)
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