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Classification of physiography from ERTS imageryThe potential application of optical data processing to ERTS imagery as a means for automatic identification of large-scale ground patterns was investigated. Spatial frequency distribution and orientational information were derived from ERTS-1 imagery of Kansas for each of 80 sample areas, each 37 km in diameter. The application of classification algorithms to this data reveals that a high degree of correlation exists between the physiography of a sample area and its frequency information. Specifically, the band of frequencies between 1.1 and 2.8 cycles/km appear to contain most of the information needed in distinguishing different physiographic regions.
Document ID
19750057974
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Ulaby, F. T.
Mcnaughton, J.
(University of Kansas Center for Research, Inc., Lawrence Kan., United States)
Date Acquired
August 8, 2013
Publication Date
August 1, 1975
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 41
Subject Category
Earth Resources And Remote Sensing
Accession Number
75A42046
Funding Number(s)
CONTRACT_GRANT: NAS5-21822
Distribution Limits
Public
Copyright
Other

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