• DocumentCode
    3290375
  • Title

    SVM Based Constructing Method for Geomagnetic Reference Map

  • Author

    Wang, Shi-Cheng ; Qiao, Yu-Kun ; Zhang, Jin-Sheng ; Chen, Li-Hua ; Zhang, Qi

  • Author_Institution
    Hong Qing High-tech Res. Inst., Xi´´an, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    578
  • Lastpage
    581
  • Abstract
    Geomagnetic reference map is the basis for geomagnetic navigation, and modeling of regional geomagnetic field is one of the available methods to construct the geomagnetic reference map. Common-used modeling methods are not so fit for the small-scale regional geomagnetic field, so new ways to modeling of regional geomagnetic field is needed. The total intensity of geomagnetic field is a complicated non-linear function of the longitude, the latitude and other factors. Since Support Vector Machine (SVM) is characterized by many excellent performances to approximate a complicated non-linear system, it is used to model the regional geomagnetic field in this paper. In SVM model, the longitude and the latitude are regarded as input variables, and the total intensity of geomagnetic field is regarded as the output variable. Of all the surveyed data, Some are used to train the SVM model, and the remain are used to verifying the precision of the model, and then the data needed to construct the geomagnetic reference map are predicted by the well-trained SVM model. Finally, the geomagnetic reference maps are constructed by both modeling method based on SVM and interpolation methods based on kriging and radial basis function (RBF), conclusion and discussion are given according to the experiment results.
  • Keywords
    geomagnetism; geophysical techniques; geophysics; navigation; radial basis function networks; support vector machines; SVM; common-used modeling; geomagnetic navigation; geomagnetic reference map; kriging; radial basis function; regional geomagnetic field; support vector machine; Earth; Geomagnetism; Harmonic analysis; Interpolation; Machine learning; Navigation; Predictive models; Quadratic programming; Support vector machine classification; Support vector machines; Support Vector Machine; interpolation; modeling; navigation; reference map; regional geomagnetic field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3614-9
  • Type

    conf

  • DOI
    10.1109/PACCS.2009.39
  • Filename
    5232414