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Volumn 57, Issue 2, 2004, Pages 121-136

A Gibbs Point Process for Road Extraction from Remotely Sensed Images

Author keywords

Aerial and satellite images; Candy model; Gibbs point processes; Hypothesis tests; Reversible jump MCMC dynamics; Road extraction

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; IMAGE ANALYSIS; MONTE CARLO METHODS; PROBABILITY; ROADS AND STREETS; SIMULATED ANNEALING; STATISTICAL METHODS;

EID: 2142813785     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:VISI.0000013086.45688.5d     Document Type: Article
Times cited : (165)

References (29)
  • 2
    • 0030190699 scopus 로고    scopus 로고
    • Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation
    • Barzohar, M. and Cooper, D.B. 1996. Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 18:707-721.
    • (1996) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.18 , pp. 707-721
    • Barzohar, M.1    Cooper, D.B.2
  • 3
    • 1842405883 scopus 로고
    • Using artificial neural networks to indentify roads in satellite images
    • San Diego
    • Bogess, J.E. 1994. Using artificial neural networks to indentify roads in satellite images. In Proceedings of the World Congress on Neural Networks, San Diego, pp. 410-415.
    • (1994) Proceedings of the World Congress on Neural Networks , pp. 410-415
    • Bogess, J.E.1
  • 5
    • 0019392785 scopus 로고
    • Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique
    • Fischler, M.A., Tenenbaum, J.M. and Wolf, H.C. 1981. Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique. Computer Graphics and Image Procesing, 15:201-223.
    • (1981) Computer Graphics and Image Procesing , vol.15 , pp. 201-223
    • Fischler, M.A.1    Tenenbaum, J.M.2    Wolf, H.C.3
  • 8
    • 0001309227 scopus 로고
    • Simulation and likelihood inference for spatial point process
    • Geyer, C. J. and Møller, J. 1994. Simulation and likelihood inference for spatial point process. Scandinavian Journal of Statistics, B, 21:359-373.
    • (1994) Scandinavian Journal of Statistics, B , vol.21 , pp. 359-373
    • Geyer, C.J.1    Møller, J.2
  • 9
    • 0002218961 scopus 로고    scopus 로고
    • Likelihood inference for spatial point processes
    • O.E. Barndoff-Nielsen, W.S. Kendall and M.N.M. van Lieshout (Eds.), Chapmann and Hall: London
    • Geyer, C.J. 1998. Likelihood inference for spatial point processes. In Stochastic Geometry, Likelihood and Computation, O.E. Barndoff-Nielsen, W.S. Kendall and M.N.M. van Lieshout (Eds.), Chapmann and Hall: London.
    • (1998) Stochastic Geometry, Likelihood and Computation
    • Geyer, C.J.1
  • 11
    • 77956889087 scopus 로고
    • Reversible jump MCMC computation and bayesian model determination
    • Green, P. 1995. Reversible jump MCMC computation and bayesian model determination. Biometrika, 82:711-732
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.1
  • 12
    • 0000618311 scopus 로고    scopus 로고
    • MCMC in image analysis
    • W.R. Gilks, S. Richardson, and D.J. Spiegelhalter (Eds.), Chapman and Hall: London
    • Green, P. 1996. MCMC in image analysis In Markov Chain Monte Carlo in Practice, W.R. Gilks, S. Richardson, and D.J. Spiegelhalter (Eds.) pp. 381-399, Chapman and Hall: London.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 381-399
    • Green, P.1
  • 13
    • 0342581600 scopus 로고
    • Stochastic annealing for nearest-neighbour point processes with application to object recognition
    • van Lieshout, M.N.M. 1994. Stochastic annealing for nearest-neighbour point processes with application to object recognition. Advances in Applied Probability, 26:281-300.
    • (1994) Advances in Applied Probability , vol.26 , pp. 281-300
    • Van Lieshout, M.N.M.1
  • 17
    • 0001625977 scopus 로고    scopus 로고
    • Markov Chain Monte Carlo and spatial point processes
    • O.E. Bamdoff-Nielsen, W.S. Kendall and M.N.M. van Lieshout (Eds.) Chapmann and Hall: London Springer-Verlag: London
    • Møller, J. 1998. Markov Chain Monte Carlo and spatial point processes. In Stochastic Geometry, Likelihood and Computation, O.E. Bamdoff-Nielsen, W.S. Kendall and M.N.M. van Lieshout (Eds.) Chapmann and Hall: London.
    • (1998) Stochastic Geometry, Likelihood and Computation
    • Møller, J.1
  • 21
    • 0031139975 scopus 로고    scopus 로고
    • Optimal snake segmentation of target and background with independent Gamma density probabilities application to speckled and preprocessed images
    • Refregier, P., Germain, O. and Gaidon, T. 1997. Optimal snake segmentation of target and background with independent Gamma density probabilities application to speckled and preprocessed images. Optics Communications, 137:382-388.
    • (1997) Optics Communications , vol.137 , pp. 382-388
    • Refregier, P.1    Germain, O.2    Gaidon, T.3
  • 23
  • 24
    • 0001490159 scopus 로고    scopus 로고
    • Bayesian object identification
    • Rue, H. and Hum, M. 1999. Bayesian object identification. Biometrika, (3), 649-660.
    • (1999) Biometrika , Issue.3 , pp. 649-660
    • Rue, H.1    Hum, M.2
  • 27
    • 2142845147 scopus 로고    scopus 로고
    • Processus ponctuels pour l'extraction des réseaux linéiques dans les images satellitaires et aériennes. PhD Thesis (in French), Nice Sophia-Antipolis University
    • Stoica, R. 2001. Processus ponctuels pour l'extraction des réseaux linéiques dans les images satellitaires et aériennes. PhD Thesis (in French), Nice Sophia-Antipolis University.
    • (2001)
    • Stoica, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.