• DocumentCode
    2141800
  • Title

    Analysis of multispectral urban images using adaptive resonance theory

  • Author

    Thitimajshima, Punya

  • Author_Institution
    Dept. of Telecommun. Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
  • Volume
    7
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3218
  • Abstract
    Multispectral images of an urban environment are analyzed and interpreted by means of a neural network approach. In particular, the advantages found by using an adaptive resonance theory network of the data are shown and commented on. The author uses the ART2 structure which accepts floating-point data, so that each input can be for each pixel gray level values at each band. This choice is an attempt to simplify the algorithm as much as possible. Experiments carried out with JERS-1 images are given
  • Keywords
    ART neural nets; remote sensing; terrain mapping; ADEOS image; ART2 structure; Bangkok; JERS-1 images; Thailand; adaptive resonance theory; floating-point data; multispectral urban images; neural network approach; urban environment; Image analysis; Resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.978308
  • Filename
    978308
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2141800