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Volumn 19, Issue 2, 2004, Pages 105-118

Position-invariant neural network for digital pavement crack analysis

Author keywords

[No Author keywords available]

Indexed keywords

CRACKS; HIGHWAY ENGINEERING; IMAGING TECHNIQUES; INVARIANCE; NEURAL NETWORKS;

EID: 1542347673     PISSN: 10939687     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2004.00341.x     Document Type: Article
Times cited : (138)

References (17)
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  • 2
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    • FHWA Federal Highway Administration, U.S. Department of Transportation, Washington DC
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    • (1989) Federal-Aid Highway Program Manual , vol.6
  • 3
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    • (1991) an Advance Course in Pavement Management Systems
  • 4
    • 0003626435 scopus 로고
    • 2nd edn., Addison-Wesley Publishing Co. Inc., Menlo Park, CA
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    • (1987) Digital Image Processing
    • Gonzalez, R.C.1    Woods, R.2
  • 9
    • 0026732390 scopus 로고
    • Minimum requirements for standard pavement management systems
    • STP 1121, ASTM, 19-31, Philadelphia
    • Hudson, S. W., Hudson, W. R. & Carmichael, R. F. (1992), Minimum requirements for standard pavement management systems, Pavement Management Implementation, STP 1121, ASTM, 19-31, Philadelphia.
    • (1992) Pavement Management Implementation
    • Hudson, S.W.1    Hudson, W.R.2    Carmichael, R.F.3
  • 10
    • 0030287752 scopus 로고    scopus 로고
    • Development of digital image processing algorithm to compute a unified crack index for Salt Lake City
    • Jitprasithsiri, S., Lee, H. & Sorcic, R. G. (1996), Development of digital image processing algorithm to compute a unified crack index for Salt Lake City, Transportation Research Record, No. 1526, 142-8.
    • (1996) Transportation Research Record , Issue.1526 , pp. 142-148
    • Jitprasithsiri, S.1    Lee, H.2    Sorcic, R.G.3
  • 11
    • 0001352883 scopus 로고
    • A neural network-based methodology for pavement crack detection and classification
    • Kaseko, M. S. & Ritchie, S. G. (1993), A neural network-based methodology for pavement crack detection and classification, Transportation Research-C, 1(4), 75-291.
    • (1993) Transportation Research-C , vol.1 , Issue.4 , pp. 75-291
    • Kaseko, M.S.1    Ritchie, S.G.2
  • 12
    • 33746893681 scopus 로고    scopus 로고
    • A proposed methodology to quantify and verify automated crack survey measurements
    • Presented at Washington, DC
    • Luhr, D. R. (1999), A proposed methodology to quantify and verify automated crack survey measurements, Presented at the 78th Annual TRB Meeting, Washington, DC.
    • (1999) The 78th Annual TRB Meeting
    • Luhr, D.R.1
  • 13
    • 0032162826 scopus 로고    scopus 로고
    • Effect of neural network topology on flexible pavement cracking prediction
    • Owusu-Ababio, S. (1998), Effect of neural network topology on flexible pavement cracking prediction, Computer-Aided Civil and Infrastructure Engineering, 13(5), 349-55.
    • (1998) Computer-Aided Civil and Infrastructure Engineering , vol.13 , Issue.5 , pp. 349-355
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  • 14
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    • A comparative analysis of two artificial neural networks using pavement performance prediction
    • Roberts, C. A. & Attoh-Okine, N. O. (1998), A comparative analysis of two artificial neural networks using pavement performance prediction, Computer Aided Civil and Infrastructure Engineering, 13(5), 339-48.
    • (1998) Computer Aided Civil and Infrastructure Engineering , vol.13 , Issue.5 , pp. 339-348
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.