• DocumentCode
    690236
  • Title

    A recognition method of surface -water based on RBF neural network

  • Author

    Chen Xue-lian ; Hu Jing-tao

  • Author_Institution
    Dept. of Inf. Service & Intell. Control, Shenyang Inst. of Autom., Shenyang, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    For the extraction of surface-water data characteristics was not easily, and pseudo-depression was easy to confuse with the surface-water in the recognition of surface-water, surface-water radial basis function neural network recognition model was proposed. According to the features of surface-water and the computational result as input and output neural cells, the surface-water radial basis function neural network recognition model was established. The proposed model solved the problem that the distinguishing of surface-water and pseudo-depression was difficult. As the results, the proposed surface-water recognition model can recognize the surface-water efficiently.
  • Keywords
    digital elevation models; geophysics computing; pattern classification; radial basis function networks; RBF neural network; surface-water radial basis function neural network recognition model; surface-water recognition method; Artificial neural networks; Character recognition; Computational modeling; Lakes; RBF neutral network; potential outlet; recognition of surface-water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Information and Emergency Communication (ICEIEC), 2013 IEEE 4th International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ICEIEC.2013.6835491
  • Filename
    6835491