Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors

Ping Gao; Leslie Collins; Norbert Geng; Lawrence Carin

Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors

Ping Gao, Leslie Collins, Norbert Geng, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A study is carried out to investigate sub-optimal detectors that continue to incorporate the physical nature of the wideband frequency-domain electromagnetic induction (EMI) signal, but are less computationally burdensome. In addition, a comparison is made on the performance of such suboptimal and optimal processors. Furthermore it is shown that by careful detector design, the sub-optimal processor can achieve nearly the same performance as that of the optimal processor.

Original language	English (US)
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEEPiscataway, NJ, United States
Pages	1819-1822
Number of pages	4
State	Published - Dec 1 1999
Externally published	Yes

Cite this

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title = "Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors",

abstract = "A study is carried out to investigate sub-optimal detectors that continue to incorporate the physical nature of the wideband frequency-domain electromagnetic induction (EMI) signal, but are less computationally burdensome. In addition, a comparison is made on the performance of such suboptimal and optimal processors. Furthermore it is shown that by careful detector design, the sub-optimal processor can achieve nearly the same performance as that of the optimal processor.",

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year = "1999",

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day = "1",

language = "English (US)",

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Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors. / Gao, Ping; Collins, Leslie; Geng, Norbert et al.
International Geoscience and Remote Sensing Symposium (IGARSS). IEEEPiscataway, NJ, United States, 1999. p. 1819-1822.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors

AU - Gao, Ping

AU - Collins, Leslie

AU - Geng, Norbert

AU - Carin, Lawrence

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09

PY - 1999/12/1

Y1 - 1999/12/1

N2 - A study is carried out to investigate sub-optimal detectors that continue to incorporate the physical nature of the wideband frequency-domain electromagnetic induction (EMI) signal, but are less computationally burdensome. In addition, a comparison is made on the performance of such suboptimal and optimal processors. Furthermore it is shown that by careful detector design, the sub-optimal processor can achieve nearly the same performance as that of the optimal processor.

AB - A study is carried out to investigate sub-optimal detectors that continue to incorporate the physical nature of the wideband frequency-domain electromagnetic induction (EMI) signal, but are less computationally burdensome. In addition, a comparison is made on the performance of such suboptimal and optimal processors. Furthermore it is shown that by careful detector design, the sub-optimal processor can achieve nearly the same performance as that of the optimal processor.

UR - http://www.scopus.com/inward/record.url?scp=0033318287&partnerID=8YFLogxK

M3 - Conference contribution

SP - 1819

EP - 1822

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEEPiscataway, NJ, United States

ER -

Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors

Abstract

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