DocumentCode
1499612
Title
Ultrawide-bandwidth fully-polarimetric ground penetrating radar classification of subsurface unexploded ordnance
Author
Chi-Chih Chen ; Higgins, M.B. ; O´Neill, K. ; Detsch, R.
Author_Institution
ElectroSci. Lab., Ohio State Univ., Columbus, OH, USA
Volume
39
Issue
6
fYear
2001
fDate
6/1/2001 12:00:00 AM
Firstpage
1221
Lastpage
1230
Abstract
An ultrawide-bandwidth (UWB) ground penetrating radar (GPR) was used to collect fully-polarimetric backscattered data from 10 to 800 MHz using a dual-polarization version of the previously developed dielectric-loaded horn-fed bow-tie (HFB) antenna. Special processing algorithms were developed to extract the polarization, orientation, depth, and length features of the target under investigation. The polarization and resonance features were utilized to discriminate subsurface ordnance from false-alarm objects that do not have elongated bodies. The classification of a specific type of unexploded ordnance (UXO) was also performed using the known length information. The processed results obtained from an initial blind field test show a very encouraging discrimination performance.
Keywords
buried object detection; geophysical techniques; military systems; radar polarimetry; radar theory; remote sensing by radar; terrain mapping; terrestrial electricity; 10 to 800 MHz; algorithm; backscatter; buried object detection; classification; dielectric-loaded horn-fed bow-tie antenna; dual-polarization; geoelectric method; geophysical measurement technique; ground penetrating radar; land surface; landmine; military system; mine detection; radar polarimetry; radar remote sensing; subsurface unexploded ordnance; terrain mapping; terrestrial electricity; ultrawide-bandwidth; unexploded ordnance; Data mining; Electromagnetic scattering; Feature extraction; Ground penetrating radar; Magnetic sensors; Polarization; Radar antennas; Radar detection; Radar scattering; Testing;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.927444
Filename
927444
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