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
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