Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing

Yan Zhang; Leslie Collins; Haitao Yu; Carl E. Baum; Lawrence Carin

doi:10.1109/TGRS.2003.810922

Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing

Yan Zhang, Leslie Collins, Haitao Yu, Carl E. Baum, Lawrence Carin

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

137 Scopus citations

Abstract

We consider the detection of subsurface unexploded ordnance via magnetometer and electromagnetic-induction (EMI) sensors. Detection performance is presented, using model-based signal processing algorithms. We first develop and validate the parametric models, using both numerical and measured data. These models are then applied in the context of feature extraction, and the features are processed via two signal-processing algorithms. The detection algorithms are discussed in detail, with comparisons made based on performance with measured magnetometer and EMI data. © 2003 IEEE.

Original language	English (US)
Pages (from-to)	1005-1015
Number of pages	11
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	41
Issue number	5 PART 1
DOIs	https://doi.org/10.1109/TGRS.2003.810922
State	Published - May 1 2003
Externally published	Yes

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abstract = "We consider the detection of subsurface unexploded ordnance via magnetometer and electromagnetic-induction (EMI) sensors. Detection performance is presented, using model-based signal processing algorithms. We first develop and validate the parametric models, using both numerical and measured data. These models are then applied in the context of feature extraction, and the features are processed via two signal-processing algorithms. The detection algorithms are discussed in detail, with comparisons made based on performance with measured magnetometer and EMI data. {\textcopyright} 2003 IEEE.",

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AU - Zhang, Yan

AU - Collins, Leslie

AU - Yu, Haitao

AU - Baum, Carl E.

AU - Carin, Lawrence

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

PY - 2003/5/1

Y1 - 2003/5/1

N2 - We consider the detection of subsurface unexploded ordnance via magnetometer and electromagnetic-induction (EMI) sensors. Detection performance is presented, using model-based signal processing algorithms. We first develop and validate the parametric models, using both numerical and measured data. These models are then applied in the context of feature extraction, and the features are processed via two signal-processing algorithms. The detection algorithms are discussed in detail, with comparisons made based on performance with measured magnetometer and EMI data. © 2003 IEEE.

AB - We consider the detection of subsurface unexploded ordnance via magnetometer and electromagnetic-induction (EMI) sensors. Detection performance is presented, using model-based signal processing algorithms. We first develop and validate the parametric models, using both numerical and measured data. These models are then applied in the context of feature extraction, and the features are processed via two signal-processing algorithms. The detection algorithms are discussed in detail, with comparisons made based on performance with measured magnetometer and EMI data. © 2003 IEEE.

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JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

IS - 5 PART 1

ER -

Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing

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