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Volumn 5089, Issue 2, 2003, Pages 1023-1034

Physics model based unexploded ordnance discrimination using wideband EMI data

Author keywords

Discrimination; Electromagnetic inductions; Information theoretic criterion; Physics model; Unexploded ordnance; Wide band

Indexed keywords

ALGORITHMS; MAGNETOELECTRIC EFFECTS; PATTERN RECOGNITION; PERFORMANCE; SENSORS; SIGNAL PROCESSING; WAVEFORM ANALYSIS;

EID: 0242628805     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.487200     Document Type: Conference Paper
Times cited : (7)

References (12)
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    • (2000) IEEE Trans. Geoscience and Remote Sensing , vol.38 , Issue.3 , pp. 1352-1361
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    • S. J. Hart, R. E. Shaffer, S. L. Rose-Pehrsson, J. R. McDonald, "Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys," IEEE Trans. Geosc. Remote Sens., Vol. 39, pp. 797-804, June 2001.
    • (2001) IEEE Trans. Geosc. Remote Sens. , vol.39 , pp. 797-804
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    • in press
    • Y. Zhang, L. M. Collins, H. Yu, C. Baum, and L. Carin, "Sensing of Unexploded Ordnance with Magnetometer and Induction Data: Theory and Signal Processing", in press, IEEE Trans. Geosc. Remote Sensing.
    • IEEE Trans. Geosc. Remote Sensing
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.