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Cloud field classification based upon high spatial resolution textural features. II - Simplified vector approachesThis paper compares the results of cloud-field classification derived from two simplified vector approaches, the Sum and Difference Histogram (SADH) and the Gray Level Difference Vector (GLDV), with the results produced by the Gray Level Cooccurrence Matrix (GLCM) approach described by Welch et al. (1988). It is shown that the SADH method produces accuracies equivalent to those obtained using the GLCM method, while the GLDV method fails to resolve error clusters. Compared to the GLCM method, the SADH method leads to a 31 percent saving in run time and a 50 percent saving in storage requirements, while the GLVD approach leads to a 40 percent saving in run time and an 87 percent saving in storage requirements.
Document ID
19900027233
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Chen, D. W.
(South Dakota School of Mines and Technology Rapid City, SD, United States)
Sengupta, S. K.
(South Dakota School of Mines and Technology Rapid City, SD, United States)
Welch, R. M.
(South Dakota School of Mines and Technology Rapid City, United States)
Date Acquired
August 14, 2013
Publication Date
October 20, 1989
Publication Information
Publication: Journal of Geophysical Research
Volume: 94
ISSN: 0148-0227
Subject Category
Meteorology And Climatology
Accession Number
90A14288
Funding Number(s)
CONTRACT_GRANT: NAG1-542
CONTRACT_GRANT: NSF ATM-85-07918
CONTRACT_GRANT: NSF ATM-88-16052
Distribution Limits
Public
Copyright
Other

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