• DocumentCode
    606132
  • Title

    A survey on unsupervised change detection algorithms

  • Author

    Venkateswaran, K. ; Kasthuri, N. ; Arathy, C. ; Haran, V. ; Jeni, D. Dorin

  • Author_Institution
    Dept. of ECE, Kongu Eng. Coll., Erode, India
  • fYear
    2013
  • fDate
    20-21 March 2013
  • Firstpage
    897
  • Lastpage
    903
  • Abstract
    The great presumption of change detection has led to rapid development of diverse change detection algorithms. Unsupervised change detection has a vital role in a wide variety of applications like remote sensing, motion detection, environmental monitoring, medical diagnosis, damage assessment, agricultural surveys, surveillance etc. In this paper a systematic survey of the commonly used methodologies for unsupervised change detection is presented.
  • Keywords
    image segmentation; feature vector; image differencing; unsupervised change detection algorithms; unsupervised change detection methodologies; Change detection algorithms; Detection algorithms; Feature extraction; Image segmentation; Statistical distributions; Systematics; Change detection; clustering; feature vector; image differencing; thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-4921-5
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2013.6528888
  • Filename
    6528888