Wide-area detection of land mines and unexploded ordnance

Lawrence Carin; Norbert Geng; Mark McClure; Yanting Dong; Zhijun Liu; Jiangqi He; Jeffrey Sichina; Marc Ressler; Lam Nguyen; Anders Sullivan

doi:10.1088/0266-5611/18/3/305

Wide-area detection of land mines and unexploded ordnance

Lawrence Carin, Norbert Geng, Mark McClure, Yanting Dong, Zhijun Liu, Jiangqi He, Jeffrey Sichina, Marc Ressler, Lam Nguyen, Anders Sullivan

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

22 Scopus citations

Abstract

Advanced electromagnetic modelling tools are discussed, focused on sensing surface and buried land mines and unexploded ordnance, situated in a realistic soil environment. The results from these forward models are used to process scattered-field data, for target detection and identification. We address sensors directed toward the wide-area-search problem, for which one is interested in detecting a former mine field or bombing range. For this problem class we process data measured from an actual airborne radar system. Signal-processing algorithms applied include Bayesian processing and a physics-based hidden Markov model.

Original language	English (US)
Pages (from-to)	575-609
Number of pages	35
Journal	Inverse Problems
Volume	18
Issue number	3
DOIs	https://doi.org/10.1088/0266-5611/18/3/305
State	Published - Jun 1 2002
Externally published	Yes

Access to Document

10.1088/0266-5611/18/3/305

Cite this

@article{15cd0cf345cd4450a9ad6df7ea2f803e,

title = "Wide-area detection of land mines and unexploded ordnance",

abstract = "Advanced electromagnetic modelling tools are discussed, focused on sensing surface and buried land mines and unexploded ordnance, situated in a realistic soil environment. The results from these forward models are used to process scattered-field data, for target detection and identification. We address sensors directed toward the wide-area-search problem, for which one is interested in detecting a former mine field or bombing range. For this problem class we process data measured from an actual airborne radar system. Signal-processing algorithms applied include Bayesian processing and a physics-based hidden Markov model.",

author = "Lawrence Carin and Norbert Geng and Mark McClure and Yanting Dong and Zhijun Liu and Jiangqi He and Jeffrey Sichina and Marc Ressler and Lam Nguyen and Anders Sullivan",

note = "Generated from Scopus record by KAUST IRTS on 2021-02-09",

year = "2002",

month = jun,

day = "1",

doi = "10.1088/0266-5611/18/3/305",

language = "English (US)",

volume = "18",

pages = "575--609",

journal = "Inverse Problems",

issn = "0266-5611",

publisher = "IOP Publishing Ltd.",

number = "3",

}

TY - JOUR

T1 - Wide-area detection of land mines and unexploded ordnance

AU - Carin, Lawrence

AU - Geng, Norbert

AU - McClure, Mark

AU - Dong, Yanting

AU - Liu, Zhijun

AU - He, Jiangqi

AU - Sichina, Jeffrey

AU - Ressler, Marc

AU - Nguyen, Lam

AU - Sullivan, Anders

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

PY - 2002/6/1

Y1 - 2002/6/1

N2 - Advanced electromagnetic modelling tools are discussed, focused on sensing surface and buried land mines and unexploded ordnance, situated in a realistic soil environment. The results from these forward models are used to process scattered-field data, for target detection and identification. We address sensors directed toward the wide-area-search problem, for which one is interested in detecting a former mine field or bombing range. For this problem class we process data measured from an actual airborne radar system. Signal-processing algorithms applied include Bayesian processing and a physics-based hidden Markov model.

AB - Advanced electromagnetic modelling tools are discussed, focused on sensing surface and buried land mines and unexploded ordnance, situated in a realistic soil environment. The results from these forward models are used to process scattered-field data, for target detection and identification. We address sensors directed toward the wide-area-search problem, for which one is interested in detecting a former mine field or bombing range. For this problem class we process data measured from an actual airborne radar system. Signal-processing algorithms applied include Bayesian processing and a physics-based hidden Markov model.

UR - https://iopscience.iop.org/article/10.1088/0266-5611/18/3/305

UR - http://www.scopus.com/inward/record.url?scp=0036608517&partnerID=8YFLogxK

U2 - 10.1088/0266-5611/18/3/305

DO - 10.1088/0266-5611/18/3/305

M3 - Article

SN - 0266-5611

VL - 18

SP - 575

EP - 609

JO - Inverse Problems

JF - Inverse Problems

IS - 3

ER -

Wide-area detection of land mines and unexploded ordnance

Abstract

Access to Document

Other files and links

Fingerprint

Cite this