메뉴 건너뛰기




Volumn 4062 LNAI, Issue , 2006, Pages 685-692

Pavement distress image automatic classification based on DENSITY-based neural network

Author keywords

Crack types; Digital pavement images; Neural network; Pattern classification; Pavement management system

Indexed keywords

AUTOMATION; COMPUTER ARCHITECTURE; CRACKS; DATA ACQUISITION; HIGHWAY ADMINISTRATION; NEURAL NETWORKS; PAVEMENTS; TILE;

EID: 33746689133     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11795131_100     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 1
    • 84941154135 scopus 로고    scopus 로고
    • A proposed methodology to quantify and verify automated crack survey measurements
    • Luhr, D. R.: A proposed methodology to quantify and verify automated crack survey measurements. Transportation Research Record, 1612 (1999) 68-81.
    • (1999) Transportation Research Record , vol.1612 , pp. 68-81
    • Luhr, D.R.1
  • 3
    • 1542347673 scopus 로고    scopus 로고
    • A position-invariant neural network for digital pavement crack analysis
    • Lee, B. J., Lee, H.: A position-invariant neural network for digital pavement crack analysis. Computer-aided civil and infrastructure engineering. 19 (2004) 105-118.
    • (2004) Computer-aided Civil and Infrastructure Engineering , vol.19 , pp. 105-118
    • Lee, B.J.1    Lee, H.2
  • 5
    • 0032165135 scopus 로고    scopus 로고
    • Comparative analysis of two artificial neural networks using pavement performance prediction
    • ASCE
    • Roberts, C. A., Attoh-Okine, N. O. A.: Comparative analysis of two artificial neural networks using pavement performance prediction. Computer Aided Civil and Infrastructure Engineering, ASCE, 122 (1998) 339-348.
    • (1998) Computer Aided Civil and Infrastructure Engineering , vol.122 , pp. 339-348
    • Roberts, C.A.1    Attoh-Okine, N.O.A.2
  • 6
    • 0035727875 scopus 로고    scopus 로고
    • Novel approach to pavement cracking detection based on neural network
    • Cheng, H. D., Jiang, X. H., Glazier, C.: Novel approach to pavement cracking detection based on neural network. Transportation Research Board. 1764 (2001) 119-127.
    • (2001) Transportation Research Board , vol.1764 , pp. 119-127
    • Cheng, H.D.1    Jiang, X.H.2    Glazier, C.3
  • 7
    • 0032162826 scopus 로고    scopus 로고
    • Effect of neural network topology on flexible pavement cracking prediction
    • Owusu-Ababio, S.: Effect of neural network topology on flexible pavement cracking prediction. Computer-Aided Civil and Infrastructure Engineering, 13 (1998) 349-355.
    • (1998) Computer-aided Civil and Infrastructure Engineering , vol.13 , pp. 349-355
    • Owusu-Ababio, S.1
  • 8
    • 9444264383 scopus 로고    scopus 로고
    • Radar emitter signal recognition based on resemblance coefficient features
    • Tsumoto, S., et al.,Eds., Springer, Berlin
    • Zhang, G. X., Rong, H. N., Jin, W. D., Hu, L. Z.: Radar emitter signal recognition based on resemblance coefficient features. In: Tsumoto, S., et al.,Eds., Lecture Notes in Artificial Intelligence. Springer, Berlin 3066 (2004) 665-670.
    • (2004) Lecture Notes in Artificial Intelligence , vol.3066 , pp. 665-670
    • Zhang, G.X.1    Rong, H.N.2    Jin, W.D.3    Hu, L.Z.4
  • 9
    • 26944439565 scopus 로고    scopus 로고
    • A novel feature selection approach and its application
    • Zhang, J., et al.,Eds., Springer, Berlin
    • Zhang, G. X., Jin, W. D., Hu. L. Z.: A novel feature selection approach and its application. In: Zhang, J., et al.,Eds., Lecture Notes in Computer Science. Springer, Berlin, 3314 (2004) 665-671.
    • (2004) Lecture Notes in Computer Science , vol.3314 , pp. 665-671
    • Zhang, G.X.1    Jin, W.D.2    Hu, L.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.