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Basic cluster compression algorithmFeature extraction and data compression of LANDSAT data is accomplished by BCCA program which reduces costs associated with transmitting, storing, distributing, and interpreting multispectral image data. Algorithm uses spatially local clustering to extract features from image data to describe spectral characteristics of data set. Approach requires only simple repetitive computations, and parallel processing can be used for very high data rates. Program is written in FORTRAN IV for batch execution and has been implemented on SEL 32/55.
Document ID
19800000291
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Tech Brief
Authors
Hilbert, E. E.
(Caltech)
Lee, J.
(Caltech)
Date Acquired
August 10, 2013
Publication Date
September 1, 1980
Publication Information
Publication: NASA Tech Briefs
Volume: 5
Issue: 2
ISSN: 0145-319X
Subject Category
Mathematics And Information Sciences
Report/Patent Number
NPO-14816
Accession Number
80B10291
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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