• DocumentCode
    533111
  • Title

    Application of BP neural network in remote sensing image classification

  • Author

    Pei, Liang ; Xu, Zhaoyang ; Dai, Jiguang

  • Author_Institution
    Coll. of Geomatics, Liaoning Tech. Univ., Fuxin, China
  • Volume
    10
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    BP (back propagation) neural network can be optimized through methods of sample selection GIS data aided and improving learning algorithm and so on. Experimental result shows that optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.
  • Keywords
    backpropagation; geographic information systems; geophysical image processing; image classification; neural nets; remote sensing; unsupervised learning; BP neural network; GIS data; adaptive capacity; back propagation; classification accuracy; image classification; learning algorithm; remote sensing; self learning; Artificial intelligence; MATLAB; Artificial neural network; BP; Classification; LM; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622825
  • Filename
    5622825
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=533111