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.
Classification of spatially unresolved objects
1972-01-21
Conference paper
No indication
English
Polarimetric Characterization of Unresolved Space Objects
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