메뉴 건너뛰기




Volumn 3, Issue 3, 2011, Pages 183-187

Estimation and evaluation of GPS geoid heights using an artificial neural network model

Author keywords

Artificial neural network; Geoid height; GPS leveling; Gravimetric geoid

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; GEOID; GPS; GRAVIMETRY; HEIGHT DETERMINATION;

EID: 84867378779     PISSN: 18669298     EISSN: 1866928X     Source Type: Journal    
DOI: 10.1007/s12518-011-0052-2     Document Type: Article
Times cited : (13)

References (21)
  • 5
    • 0031814473 scopus 로고    scopus 로고
    • The use of least squares collocation method in global gravity field modeling
    • Arabelos D, Tscherning CC (1998) The use of least squares collocation method in global gravity field modeling. Phys Chem Earth 23:1-12
    • (1998) Phys Chem Earth , vol.23 , pp. 1-12
    • Arabelos, D.1    Tscherning, C.C.2
  • 6
    • 29144479422 scopus 로고    scopus 로고
    • The EUREF Permanent Network: A multidisciplinary network serving surveyors as well as scientists
    • Bruyninx C (2004) The EUREF Permanent Network: a multidisciplinary network serving surveyors as well as scientists. Geoinformatics 7:32-35
    • (2004) Geoinformatics , vol.7 , pp. 32-35
    • Bruyninx, C.1
  • 12
    • 84867383654 scopus 로고    scopus 로고
    • GINA (2004) Internet resources: http://www.gina.alaska.edu
    • (2004) Internet Resources
  • 13
    • 1342267338 scopus 로고    scopus 로고
    • New method for transforming global positioning system height into normal height based on neural network
    • DOI 10.1061/(ASCE)0733-9453(2004)130:1(36)
    • Hu W, Sha Y, Kuang S (2004) New method for transforming global positioning system height based on neural network. J Surv Eng 130(1):36-39 (Pubitemid 38259218)
    • (2004) Journal of Surveying Engineering , vol.130 , Issue.1 , pp. 36-39
    • Hu, W.1    Sha, Y.2    Kuang, S.3
  • 14
    • 17444419733 scopus 로고    scopus 로고
    • Modelling local GPS/levelling geoid undulations using artificial neural networks
    • DOI 10.1007/s00190-004-0420-3
    • Kavzoglu T, Saka MH (2005) Modeling local GPS/leveling geoid undulations using artificial neural networks. J Geod 78:520-527 (Pubitemid 40549086)
    • (2005) Journal of Geodesy , vol.78 , Issue.9 , pp. 520-527
    • Kavzoglu, T.1    Saka, M.H.2
  • 17
    • 34247262627 scopus 로고    scopus 로고
    • Application of a back-propagation artificial neural network to regional grid-based geoid model generation using GPS and leveling data
    • Sheng-Lin L (2007) Application of a back-propagation artificial neural network to regional grid-based geoid model generation using GPS and leveling data. J Surv Eng 133(2):81-89
    • (2007) J Surv Eng , vol.133 , Issue.2 , pp. 81-89
    • Sheng-Lin, L.1
  • 18
    • 33745884889 scopus 로고    scopus 로고
    • The use of second-generation wavelets to combine a gravimetric quasigeoid model with GPS-levelling data
    • Soltanpour A, Nahavandchi H, Featherstone WE (2006) The use of second-generation wavelets to combine a gravimetric quasigeoid model with GPS-levelling data. J Geod 80:82-93
    • (2006) J Geod , vol.80 , pp. 82-93
    • Soltanpour, A.1    Nahavandchi, H.2    Featherstone, W.E.3
  • 19
    • 33645226756 scopus 로고    scopus 로고
    • GPS-derived geoid using artificial neural networks and least square collocation
    • Stopar B, Ambrozic T, Kuhar M, Turk G (2006) GPS-derived geoid using artificial neural networks and least square collocation. Surv Rev 38:513-524
    • (2006) Surv Rev , vol.38 , pp. 513-524
    • Stopar, B.1    Ambrozic, T.2    Kuhar, M.3    Turk, G.4
  • 21
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • PII S0169207097000447
    • Zhang G, Patuwo BE, Hu MY (1998) Forecasting with artificial neural networks: the state of the art. Int J Forecast 14:35-62 (Pubitemid 128340470)
    • (1998) International Journal of Forecasting , vol.14 , Issue.1 , pp. 35-62
    • Zhang, G.1    Eddy Patuwo, B.2    Y. Hu, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.