Terrain analysis using Landsat thematic mapper imagery
Michael, Gerald T.
Nystuen, Jeffrey A.
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This thesis examined two sites from a Landsat scene of portions of Honduras and Nicaragua. One site was examined for potential water obstacles, and the other was examined for cover and concealment provided by vegetation. The results suggest that potential water obstacles can be detected. It is not clear if vegetative cover and concealment can be reliably detected. A study using better ground reference information than was available is necessary to answer that question. Several unsupervised classification algorithms were used and compared. A histogram clustering algorithm followed by a minimum distance classifier provided results comparable to the much slower K-means and isodatatype algorithms. Several methods to reduce the dimensionality of the classification problem were examined, including band subsets, between-band ratios, the principal component transformation, and the tasseled cap transformations. Band subsets provided adequate accuracy and is the easiest method to implement.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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