A proportion estimation technique for classification of multispectral scanner images is reported that uses data point averaging to extract and compute estimated proportions for a single average data point to classify spatial unresolved areas. Example extraction calculations of spectral signatures for bare soil, weeds, alfalfa, and barley prove quite accurate.


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    Titel :

    Classification of spatially unresolved objects


    Beteiligte:
    Nalepka, R. F. (Autor:in) / Horwitz, H. M. (Autor:in) / Hyde, P. D. (Autor:in) / Morgenstern, J. P. (Autor:in)


    Erscheinungsdatum :

    1972-01-21


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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