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Non-parametric analysis of LANDSAT maps using neural nets and parallel computersNearest neighbor approaches and a new neural network, the Binary Diamond, are used for the classification of images of ground pixels obtained by LANDSAT satellite. The performances are evaluated by comparing classifications of a scene in the vicinity of Washington DC. The problem of optimal selection of categories is addressed as a step in the classification process.
Document ID
19930068158
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Salu, Yehuda
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Tilton, James
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1991
Publication Information
Publisher: Society of Photo-Optical Instrumentation Engineers (SPIE Proceedings. Vol. 1623)
Subject Category
Cybernetics
Accession Number
93A52155
Distribution Limits
Public
Copyright
Other

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