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Finding the earth in ERTSItek's Optical System Division recently completed an investigation funded by NASA to develop interpretation methods and algorithms suitable for recognition of earth resources by machines using multispectral data from ERTS. Through the algorithms developed (and described here) it is now possible to automatically recognize terrain types. The clustering algorithm guarantees high accuracy in the recognition process with almost complete automation. Interestingly, the machine recognition seems to be more accurate than a human photointerpreter who has been restricted to using only ERTS-1 color composites. That is, machine recognition appears to be more sensitive, it can operate much closer, to the resolution limit of the ERTS-1 imagery than the human photointerpreter.
Document ID
19740059525
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Gramenopoulos, N.
(Itek Corp. Lexington, Mass., United States)
Date Acquired
August 7, 2013
Publication Date
August 1, 1974
Publication Information
Publication: Optical Spectra
Volume: 8
Subject Category
Geophysics
Accession Number
74A42275
Distribution Limits
Public
Copyright
Other

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