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    Application of the Semivariogram Textural Classifier (STC) to SIR-B data of Borneo (1990)
    In:  CASI
    Details
    Publication Date: 2005-08-04
    Description: This 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.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: JPL, Proceedings of the Second Airborne Synthetic Aperture Radar (AIRSAR) Workshop; p 53-57
    Format: text
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