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Volumn 4742, Issue II, 2002, Pages 728-735

A comparison of algorithms for landmine detection and discrimination using ground penetrating radar

Author keywords

Bayesian; Classification; GPR; Ground penetrating radar; Hough transform; Mine detection; Statistical detection

Indexed keywords

ALGORITHMS; ELECTROMAGNETIC WAVES; GROUND PENETRATING RADAR SYSTEMS; HOUGH TRANSFORMS; RADAR TARGET RECOGNITION;

EID: 0036440049     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.479146     Document Type: Conference Paper
Times cited : (26)

References (8)
  • 2
    • 0034229266 scopus 로고    scopus 로고
    • A theoretical performance analysis and simulation of time-domain EMI sensor data for land mine detection
    • P. Gao and L.M. Collins, "A theoretical performance analysis and simulation of time-domain EMI sensor data for land mine detection," IEEE Transactions on Geoscience and Remote Sensing 38(4), pp. 2042-2055, 2000.
    • (2000) IEEE Transactions on Geoscience and Remote Sensing , vol.38 , Issue.4 , pp. 2042-2055
    • Gao, P.1    Collins, L.M.2
  • 7
    • 0025622067 scopus 로고
    • Partitioned Hough transform for ellipsoid detection
    • C. Hsu and J.S. Huang, "Partitioned Hough transform for ellipsoid detection," Pattern Recognition 23(3/4), pp. 275-282, 1990.
    • (1990) Pattern Recognition , vol.23 , Issue.3-4 , pp. 275-282
    • Hsu, C.1    Huang, J.S.2
  • 8
    • 0019397313 scopus 로고
    • Generalizing the Hough transform to detect arbitrary shapes
    • D.H. Ballard, "Generalizing the Hough transform to detect arbitrary shapes," Pattern Recognition 13(2), pp. 111-122, 1981.
    • (1981) Pattern Recognition , vol.13 , Issue.2 , pp. 111-122
    • Ballard, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.