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Principal Components as a Data Reduction and Noise Reduction TechniqueThe potential of principal components as a pipeline data reduction technique for thematic mapper data was assessed and principal components analysis and its transformation as a noise reduction technique was examined. Two primary factors were considered: (1) how might data reduction and noise reduction using the principal components transformation affect the extraction of accurate spectral classifications; and (2) what are the real savings in terms of computer processing and storage costs of using reduced data over the full 7-band TM complement. An area in central Pennsylvania was chosen for a study area. The image data for the project were collected using the Earth Resources Laboratory's thematic mapper simulator (TMS) instrument.
Document ID
19830017886
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Imhoff, M. L. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Campbell, W. J. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Publication Information
Publication: Marshall Univ. Proc. of the Natl. Conf. on Energy Resource Management, Vol. 1
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N26157
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19830017884Collected WorksProceedings of the National Conference on Energy Resource Management. Volume 1: Techniques, Procedures and Data Bases
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