• DocumentCode
    2679739
  • Title

    The Development of Artificial Immune System in Topographic Facet

  • Author

    Das, Bidisha ; Kumari, Preeti ; Jindal, Rachna ; Rameshwari, Rashmi

  • Author_Institution
    Dept. of Comput. Eng., Delhi Technol. Univ., Delhi, India
  • fYear
    2011
  • fDate
    20-22 July 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper explores artificial immune system in feature extraction mechanism. Certain important features like robustness, dynamic, adaptive, error tolerant, distributive are key features of natural immune system. These features have a detailed description. We have used adaptive immune system to develop this extraction method successfully. The terrain has several facets such as water, vegetation, urban, denseurban, barren and many more. This paper attempted to identify all these features inSaharnpur area of Uttar Pradesh region of India. Among all the natural immune system, clonal selection theory mostly correlates with feature extraction. Even we have defined certain parameters of artificial immune system in terms of feature extraction. In addition to parameter´s definition, an algorithm has been proposed. The algorithm is applied to Saharanpur region of 916×569 dimension. The KHAT statistics shows that the proposed algorithm has an efficiency of 0.7649.
  • Keywords
    artificial immune systems; feature extraction; adaptive immune system; artificial immune system; feature extraction; natural immune system; topographic facet; Accuracy; Adaptive systems; Correlation; Feature extraction; Immune system; Pixel; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Process Automation, Control and Computing (PACC), 2011 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-61284-765-8
  • Type

    conf

  • DOI
    10.1109/PACC.2011.5978986
  • Filename
    5978986