• DocumentCode
    1019603
  • Title

    Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects

  • Author

    Kettig, R.L. ; Landgrebe, D.A.

  • Author_Institution
    Laboratory for Applications of Remote Sensing, Department of Electrical Engineering, Purdue University, West Lafayette, IN 47907 now with the Communication Sciences Division, U.S. Naval Research Laboratory, Washington, DC 20375
  • Volume
    14
  • Issue
    1
  • fYear
    1976
  • Firstpage
    19
  • Lastpage
    26
  • Abstract
    A method of classification of digitized multispectral image data is described. It is designed to exploit a particular type of dependence between adjacent states of nature that is characteristic of the data. The advantages of this, as opposed to the conventional "per point" approach, are greater accuracy and efficiency, and the results are in a more desirable form for most purposes. Experimental results from both aircraft and satellite data are included.
  • Keywords
    Aircraft propulsion; Data mining; Decision theory; Geoscience; Laboratories; Layout; Multispectral imaging; Partitioning algorithms; Remote sensing; Satellites;
  • fLanguage
    English
  • Journal_Title
    Geoscience Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9413
  • Type

    jour

  • DOI
    10.1109/TGE.1976.294460
  • Filename
    4071761
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1019603