An improved bayesian decision theoretic approach for land mine detection

Leslie Collins; Ping Gao; Lawrence Carin

doi:10.1109/36.752197

An improved bayesian decision theoretic approach for land mine detection

Leslie Collins, Ping Gao, Lawrence Carin

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

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. © 1999 IEEE.

Original language	English (US)
Pages (from-to)	811-819
Number of pages	9
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	37
Issue number	2 I
DOIs	https://doi.org/10.1109/36.752197
State	Published - Dec 1 1999
Externally published	Yes

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Generated from Scopus record by KAUST IRTS on 2021-02-09

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An improved bayesian decision theoretic approach for land mine detection

Abstract

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