A classification method for digitized multispectral-image data is described. This method 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.


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    Titel :

    Classification of multispectral image data by extraction and classification of homogeneous objects


    Beteiligte:
    Kettig, R. L. (Autor:in) / Landgrebe, D. A. (Autor:in)

    Erscheinungsdatum :

    01.01.1976


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch






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