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Application of the Semivariogram Textural Classifier (STC) to SIR-B data of BorneoThis paper presents the results of an application of the semivariogram textural classifier to SIR-B data. Ford and Casey (1988) performed a visual interpretation of a SIR-B image of a tropical rain forest in Borneo in which they recognized and mapped three units of forest canopy (coastal lowland forest, tidal forest and swamp) and two units of open areas (clearcut and wetland). In this study the same image is classified using the STC in an attempt to emulate their interpretation.
Document ID
19950002617
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Miranda, F. P. (Nevada Univ. Reno, NV, United States)
Macdonald, J. A. (Nevada Univ. Reno, NV, United States)
Carr, J. R. (Nevada Univ. Reno, NV, United States)
Date Acquired
August 17, 2013
Publication Date
November 15, 1990
Publication Information
Publication: JPL, Proceedings of the Second Airborne Synthetic Aperture Radar (AIRSAR) Workshop
Subject Category
Earth Resources And Remote Sensing
Accession Number
95N70737
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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