DocumentCode :
339306
Title :
Statistical signal processing techniques for the detection of low-metal landmines using EMI and GPR sensors (Topic area: E.1)
Author :
Gao, Ping ; Tantum, Stacy ; Collins, Leslie ; Weaver, Dick ; Moulton, John ; Makowsky, Jarry ; Reidy, Denis
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
2465
Abstract :
The Joint UXO Coordination Office (JUXOCO) at Ft. Belvoir, VA is sponsoring a series of experiments designed to establish a performance baseline for a variety of sensors. The purpose of these experiments is to determine if advanced algorithms are useful for detecting low-metallic content mines and if ground penetrating radar (GPR) sensors can help mitigate the high false alarm rates associated with electromagnetic induction (EMI) sensors. In this paper, the authors describe the results of two data collection and algorithm development efforts. One involves a prototype frequency-domain EMI system; the other involves a prototype wide-band GPR system. In both cases, substantial performance improvements over baseline are achieved using statistically-based signal processing algorithms
Keywords :
buried object detection; military systems; radar detection; radar imaging; radar signal processing; terrain mapping; EMI; GPR; algorithm; electromagnetic induction sensor; false alarm rate; ground penetrating radar; landmine; low-metal mine; measurement technique; military system; mine detection; plastic mine; radar detection; radar remote sensing; signal processing; statistical method; terrain mapping; Calibration; Clutter; Electromagnetic induction; Electromagnetic interference; Ground penetrating radar; Landmine detection; Prototypes; Radar detection; Signal processing algorithms; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
Type :
conf
DOI :
10.1109/IGARSS.1999.771544
Filename :
771544
Link To Document :
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