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Data processing 1: Advancements in machine analysis of multispectral dataMultispectral data processing procedures are outlined beginning with the data display process used to accomplish data editing and proceeding through clustering, feature selection criterion for error probability estimation, and sample clustering and sample classification. The effective utilization of large quantities of remote sensing data by formulating a three stage sampling model for evaluation of crop acreage estimates represents an improvement in determining the cost benefit relationship associated with remote sensing technology.
Document ID
19720021700
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Swain, P. H.
(Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 6, 2013
Publication Date
January 21, 1972
Publication Information
Publication: NASA. Manned Spacecraft Center 4th Ann. Earth Resources Program Rev., Vol. 2
Subject Category
Computers
Accession Number
72N29350
Funding Number(s)
CONTRACT_GRANT: NGL-15-005-112
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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