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A multilevel multispectral data set analysis in the visible and infrared wavelength regionsSkylab multispectral scanner data, digitized Skylab color infrared (IR) photography, digitized Skylab black and white multiband photography, and Earth Resources Technology Satellite (ERTS) multispectral scanner data collected within a 24-hr time period over an area in south-central Indiana near Bloomington on June 9 and 10, 1973, were compared in a machine-aided land use analysis of the area. The overall classification performance results, obtained with nine land use classes, were 87% correct classification using the 'best' 4 channels of the Skylab multispectral scanner, 80% for the channels on the Skylab multispectral scanner which are spectrally comparable to the ERTS multispectral scanner, 88% for the ERTS multispectral scanner, 83% for the digitized color IR photography, and 76% for the digitized black and white multiband photography. The results indicate that the Skylab multispectral scanner may yield even higher classification accuracies when a noise-filtered multispectral scanner data set becomes available in the near future.
Document ID
19750036131
Document Type
Reprint (Version printed in journal)
Authors
Biehl, L. L.
Silva, L. F. (Purdue University West Lafayette, Ind., United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1975
Publication Information
Publication: IEEE
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Funding Number(s)
CONTRACT_GRANT: NAS9-13301
Distribution Limits
Public
Copyright
Other