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LANDSAT-4 image data quality analysisSeven heterogeneous areas within the entire Des Moines, Iowa test site were selected to define candidate spectral training classes using a clustering algorithm. In addition to the 91 cluster nonsupervised classes, three supervised training classes were defined. The original candidate training classes were reduced to 42 spectrally separable training classes. The minimum and average transformed divergence values for the 42 spectral classes and for the best subsets of Y TM spectral bands are shown in a table. The best spectral band for any combination of 1 through 7 bands is the first middle IR band. The next best band is the near IR, followed by the red band and than the thermal IR. The best combination of four bands includes one from each of the four regions of the spectrum (visible, near IR, middle IR, and thermal IR).
Document ID
19830026134
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Anuta, P. E. (Purdue Univ. West Lafayette, IN, United States)
Date Acquired
September 4, 2013
Publication Date
August 9, 1983
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NASA-CR-173007
NAS 1.26:173007
LARS-CR-080983
E83-10413
Accession Number
83N34405
Funding Number(s)
CONTRACT_GRANT: NAS5-26859
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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