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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    Title :

    Classification of spatially unresolved objects


    Contributors:


    Publication date :

    1972-01-21


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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