An improved Bayesian decision theoretic approach for land mine detection

Author

Collins, Leslie ; Gao, Ping ; Carin, Lawrence

Author_Institution

Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA

Volume

37

Issue

2

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

811

Lastpage

819

Abstract

A rigorous signal detection theoretic analysis is used to improve detectability of land mines. The development is performed for sensors that integrate time-domain information to provide a single data point (standard metal detector), those that provide a sampled portion of the time-domain waveform, and those that operate at several discrete frequencies. This approach is compared to standard thresholding techniques, and it is shown to provide substantial improvements when evaluated on measured data

Keywords

Bayes methods; buried object detection; military systems; terrain mapping; Bayes method; Bayesian decision theoretic approach; EM method; buried object detection; detectability; electromagnetic induction; land mine detection; metal detector; military system; sampled portion; several discrete frequencies; signal detection theory; time-domain information; time-domain waveform; Bayesian methods; Detectors; Electromagnetic induction; Electromagnetic interference; Frequency; Landmine detection; Measurement standards; Physics; Signal detection; Time domain analysis;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.752197

Filename

752197