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STANSORT - Stanford Remote Sensing Laboratory pattern recognition and classification systemThe principal barrier to routine use of the ERTS multispectral scanner computer compatible tapes, rather than photointerpretation examination of the images, has been the high computing costs involved due to the large quantity of information (4 Mbytes) contained in a scene. STANSORT, the interactive program package developed at Stanford Remote Sensing Laboratories alleviates this problem, providing an extremely rapid, flexible and low cost tool for data reduction, scene classification, species searches and edge detection. The primary classification procedure, utilizing a search with variable gate widths, for similarities in the normalized, digitized spectra is described along with associated procedures for data refinement and extraction of information. The more rigorous statistical classification procedures are also explained.
Document ID
19750033087
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Honey, F. R.
Prelat, A.
Lyon, R. J. P.
(Stanford University Stanford, Calif., United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1974
Subject Category
Computer Operations And Hardware
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment
Location: Ann Arbor, MI
Start Date: April 15, 1974
End Date: April 19, 1974
Accession Number
75A17159
Funding Number(s)
CONTRACT_GRANT: NAS5-21884
Distribution Limits
Public
Copyright
Other

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