DocumentCode :
1837439
Title :
Clutter suppression and feature extraction for land mine detection using ground penetrating radar
Author :
Kolba, M.P. ; Jouny, I.I.
Author_Institution :
Electr. & Comput. Eng. Dept., Lafayette Coll., Easton, PA, USA
Volume :
2
fYear :
2003
fDate :
22-27 June 2003
Firstpage :
203
Abstract :
In this paper, we discuss approaches for processing ground penetrating radar (GPR) data for land mine detection. We discuss two methods of clutter suppression using ARMA modeling and also examine feature extraction using both ARMA modeling and complex natural resonance (CNR) modeling. The algorithms presented have been tested on laboratory GPR data and been found to be promising techniques. In future work, the feature vectors produced by these techniques will be processed through appropriate detection algorithms.
Keywords :
feature extraction; ground penetrating radar; landmine detection; radar clutter; radar imaging; ARMA modeling; CNR modeling; GPR data; complex natural resonance modeling; feature extraction; ground penetrating radar; land mine detection; radar clutter suppression; Broadband antennas; Clutter; Educational institutions; Feature extraction; Ground penetrating radar; Landmine detection; Radar detection; Soil; Spatial resolution; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2003. IEEE
Conference_Location :
Columbus, OH, USA
Print_ISBN :
0-7803-7846-6
Type :
conf
DOI :
10.1109/APS.2003.1219213
Filename :
1219213
Link To Document :
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