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Volumn 18, Issue 7, 1996, Pages 707-721

Automatic finding of main roads in aerial images by using geometricstochastic models and estimation

Author keywords

Dynamic programming; Gaussian driving noise; Geometric probabilistic models; Gibbs distributions; Maximum a posteriori probability estimation; Model based segmentation; Road geometry model

Indexed keywords

AERIAL PHOTOGRAPHY; DYNAMIC PROGRAMMING; ESTIMATION; GEOMETRY; IMAGE SEGMENTATION; MATHEMATICAL MODELS; PROBABILITY; SPURIOUS SIGNAL NOISE;

EID: 0030190699     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.506793     Document Type: Article
Times cited : (226)

References (15)
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  • 3
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    • Identification of Roads in Satellite Imagery Using Artificial Neural Networks: A Contextual Approach
    • J. Boggess, " Identification of Roads in Satellite Imagery Using Artificial Neural Networks: A Contextual Approach," technical report, Mississippi State Univ., Aug. 1993.
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    • 201-223, Aug. 1981.
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    • CGIP, Pp.
    • Fischler, J.M.1    Wölk, H.2
  • 12
    • 0027838342 scopus 로고    scopus 로고
    • Automatic Finding of Main Roads in Aerial Images by Using Geometric-Stochastic Models and Estimation
    • M. Barzohar and D.B. Cooper, " Automatic Finding of Main Roads in Aerial Images by Using Geometric-Stochastic Models and Estimation," IEEE CVPR, July 1993.
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  • 13
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    • Completely Automatic Reliable Finding of Main Roads in Aerial Images by Using Bayesian Methods
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    • Emcn~LEMS
    • Barzohar, M.1    Cooper, D.B.2
  • 14
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    • Modélisation de réseaux pour l'imagerie satellite spot
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    • C. Graffine and 1. Herlin, " Modélisation de réseaux pour l'imagerie satellite spot," technical report, INRIA, 1989.
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    • Graffine, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.