메뉴 건너뛰기




Volumn 27, Issue 21, 2006, Pages 4769-4789

Conjoint analysis for quantification of relative importance of various factors affecting BPANN classification of urban environment

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS;

EID: 33751577024     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160600784184     Document Type: Article
Times cited : (2)

References (35)
  • 2
    • 0025453627 scopus 로고
    • Neural network approaches versus statistical methods in classification of multisource remote sensing data
    • Benediktsson, J. A. and Swain, P. H. and Ersoy, O. K. (1990) Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 28, pp. 540-551.
    • (1990) IEEE Transactions on Geoscience and Remote Sensing , vol.28 , pp. 540-551
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 3
    • 0027789411 scopus 로고
    • Conjugate gradient neural networks in classification of multisource and very-high dimensional remote sensing data
    • Benediktsson, J. A. and Swain, P. H. and Ersoy, O. K. (1993) Conjugate gradient neural networks in classification of multisource and very-high dimensional remote sensing data. International Journal of Remote Sensing, 14, pp. 2883-2903.
    • (1993) International Journal of Remote Sensing , vol.14 , pp. 2883-2903
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 4
    • 0031106245 scopus 로고    scopus 로고
    • Multisource data classification and feature extraction with neural networks
    • Benediktsson, J. A. and Sveinsson, J. R. (1997) Multisource data classification and feature extraction with neural networks. International Journal of Remote Sensing, 18, pp. 727-740.
    • (1997) International Journal of Remote Sensing , vol.18 , pp. 727-740
    • Benediktsson, J.A.1    Sveinsson, J.R.2
  • 5
    • 0026868031 scopus 로고
    • Multispectral classification of Landsat images using neural network
    • Bischof, H. and Schneider, W. and Pinz, A. J. (1992) Multispectral classification of Landsat images using neural network. IEEE Transactions on Image Processing, 30, pp. 482-490.
    • (1992) IEEE Transactions on Image Processing , vol.30 , pp. 482-490
    • Bischof, H.1    Schneider, W.2    Pinz, A.J.3
  • 6
    • 0025903996 scopus 로고
    • Landsat TM image classification with an artificial neural network
    • In Falls Church VA: American Society of Photogrammetry and Remote Sensing. Baltimore, MD
    • Civco, D. L.(1991) Landsat TM image classification with an artificial neural network. In Proceedings of the ASPRS-ACSM Annual meeting. (pp. 67-77). Falls Church VA: American Society of Photogrammetry and Remote Sensing. Baltimore, MD
    • (1991) Proceedings of the ASPRS-ACSM Annual Meeting , pp. 67-77
    • Civco, D.L.1
  • 8
    • 0029505297 scopus 로고
    • A neural network based method for tracking features from satellite sensor images
    • Cote, S. and Tatnall, A. R. L. (1995) A neural network based method for tracking features from satellite sensor images. International Journal of Remote Sensing, 16, pp. 3695-3701.
    • (1995) International Journal of Remote Sensing , vol.16 , pp. 3695-3701
    • Cote, S.1    Tatnall, A.R.L.2
  • 10
    • 0028874010 scopus 로고
    • Using prior knowledge in artificial neural network classification with a minimal training set
    • Foody, G. M. (1995a) Using prior knowledge in artificial neural network classification with a minimal training set. International Journal of Remote Sensing, 16, pp. 301-312.
    • (1995) International Journal of Remote Sensing , vol.16 , pp. 301-312
    • Foody, G.M.1
  • 11
    • 0029478734 scopus 로고
    • Land cover classification using an artificial neural network with ancillary information
    • Foody, G. M. (1995b) Land cover classification using an artificial neural network with ancillary information. International Journal of Geographical Information Systems, 9, pp. 527-542.
    • (1995) International Journal of Geographical Information Systems , vol.9 , pp. 527-542
    • Foody, G.M.1
  • 12
    • 0031105722 scopus 로고    scopus 로고
    • An evaluation of some factors affecting the accuracy of classification by an artificial neural network
    • Foody, G. M. and Arora, M. K. (1997) An evaluation of some factors affecting the accuracy of classification by an artificial neural network. International Journal of Remote Sensing, 18, pp. 799-810.
    • (1997) International Journal of Remote Sensing , vol.18 , pp. 799-810
    • Foody, G.M.1    Arora, M.K.2
  • 13
    • 0029768950 scopus 로고    scopus 로고
    • Integrated analysis of spatial data from multiple sources: Using evidential reasoning and artificial neural network techniques for geological mapping
    • Gong, P. (1996) Integrated analysis of spatial data from multiple sources: Using evidential reasoning and artificial neural network techniques for geological mapping. Photogrammetric Engineering and Remote Sensing, 62, pp. 513-523.
    • (1996) Photogrammetric Engineering and Remote Sensing , vol.62 , pp. 513-523
    • Gong, P.1
  • 14
    • 0000879155 scopus 로고
    • New way to measure consumers' judgments
    • July/August
    • Green, P. E. and Wind, Y. (1975) New way to measure consumers' judgments. Harvard Business Review, 53, pp. 107-117. July/August
    • (1975) Harvard Business Review , vol.53 , pp. 107-117
    • Green, P.E.1    Wind, Y.2
  • 15
    • 77955987832 scopus 로고
    • Conjoint analysis in consumer research: Issues and outlook
    • September
    • Green, P. E. and Srinivasan, V. (1978) Conjoint analysis in consumer research: Issues and outlook. Journal of Consumer Research, 5, pp. 103-123. September
    • (1978) Journal of Consumer Research , vol.5 , pp. 103-123
    • Green, P.E.1    Srinivasan, V.2
  • 18
    • 0026442955 scopus 로고
    • Land-cover discrimination in SPOT HRV imagery using an artificial neural network-a 20 class experiment
    • Kanellopoulos, I. and Varfis, A. and Wilkinson, G. G. and Megier, J. (1992) Land-cover discrimination in SPOT HRV imagery using an artificial neural network-a 20 class experiment. International Journal of Remote Sensing, 13, pp. 917-924.
    • (1992) International Journal of Remote Sensing , vol.13 , pp. 917-924
    • Kanellopoulos, I.1    Varfis, A.2    Wilkinson, G.G.3    Megier, J.4
  • 19
  • 20
    • 0033454031 scopus 로고    scopus 로고
    • Pruning artificial neural networks: An example using land cover classification of multi-sensor images
    • Kavzoglu, T. and Mather, P. M. (1999) Pruning artificial neural networks: An example using land cover classification of multi-sensor images. International Journal of Remote Sensing, 20, pp. 2787-2803.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 2787-2803
    • Kavzoglu, T.1    Mather, P.M.2
  • 23
    • 0023331258 scopus 로고
    • An introduction to computing with neural networks
    • Lippmann, R. P. (1987) An introduction to computing with neural networks. IEEE ASSP Magazine, 3, pp. 4-22.
    • (1987) IEEE ASSP Magazine , vol.3 , pp. 4-22
    • Lippmann, R.P.1
  • 27
    • 0029415649 scopus 로고
    • A review and analysis of back-propagation neural networks for classification of remotely-sensed multispectral imagery
    • Paola, J. D. and Schowengerdt, R. A. (1995) A review and analysis of back-propagation neural networks for classification of remotely-sensed multispectral imagery. International Journal of Remote Sensing, 16, pp. 3033-3058.
    • (1995) International Journal of Remote Sensing , vol.16 , pp. 3033-3058
    • Paola, J.D.1    Schowengerdt, R.A.2
  • 30
    • 0025573169 scopus 로고
    • Application of an artificial neural network to land cover classification of Thematic Mapper imagery
    • Ritter, N. D. and Hepner, G. F. (1990) Application of an artificial neural network to land cover classification of Thematic Mapper imagery. Computers and Geosciences, 16, pp. 873-880.
    • (1990) Computers and Geosciences , vol.16 , pp. 873-880
    • Ritter, N.D.1    Hepner, G.F.2
  • 33
    • 0031097898 scopus 로고    scopus 로고
    • High-order and multiplayer perceptron initialization
    • Thimm, G. and Fiesler, E. (1997) High-order and multiplayer perceptron initialization. IEEE Transactions on Neural Networks, 8, pp. 349-359.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 349-359
    • Thimm, G.1    Fiesler, E.2
  • 34
    • 0000534571 scopus 로고
    • Classification of remotely-sensed image data using artificial neural networks
    • Xiao, J. Y. and Liu, Z. K. (1991) Classification of remotely-sensed image data using artificial neural networks. International Journal of Remote Sensing, 12, pp. 2433-2438.
    • (1991) International Journal of Remote Sensing , vol.12 , pp. 2433-2438
    • Xiao, J.Y.1    Liu, Z.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.