DocumentCode :
1444131
Title :
Discrimination of UXO in soil using broadband polarimetric GPR backscatter
Author :
O´Neill, Kevin
Author_Institution :
ERDC Cold Regions Res. & Eng. Lab. (CRREL), Hanover, NH, USA
Volume :
39
Issue :
2
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
356
Lastpage :
367
Abstract :
Polarimetric analysis of ground penetrating radar (GPR) backscatter offers a new means of discriminating subsurface metallic target shapes from one another. Such discrimination is urgently needed to distinguish buried unexploded ordnance (UXO) from other subsurface objects. To illuminate the underlying phenomenology of scattering from objects enveloped in soil, three-dimensional (3D) simulations are performed over a broad frequency band, characteristic of new low frequency GPRs. For moist soil, this means that the subsurface wavelength may range from a fraction of the target size to an order of magnitude larger With a transmitting antenna representation that produces typical subsurface GPR beam features, combined effects of positional, orientation, and frequency diversity are investigated. Despite long wavelengths, results show distinctive features in reflections obtained from contrasting example target shapes. Full polarimetric analysis suggests the capability for inferring the length of elongated targets, aspect ratio and rotational symmetry, and gross shape along the axis for either elongated or flattened bodies of revolution in problematical orientations
Keywords :
backscatter; buried object detection; geophysical techniques; military radar; military systems; radar applications; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; terrain mapping; terrestrial electricity; UXO; backscatter; broadband polarimetric GPR backscatter; buried object detection; ground penetrating radar; land surface; measurement technique; metallic target; military system; mine detection; moist soil; radar polarimetry; radar remote sensing; radar scattering; subsurface shape; terrain mapping; three dimensional simulation; unexploded bomb; unexploded ordnance; Backscatter; Buried object detection; Frequency; Ground penetrating radar; Radar detection; Radar scattering; Rough surfaces; Shape; Soil; Surface roughness;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.905244
Filename :
905244
Link To Document :
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