This study examined the use of textural analysis to assist in the segmentation of synthetic aperture radar (SAR) imagery. A previous study, which dealt with imagery collected passively by electro-optical systems in the visible and infrared portions of the electromagnetic spectrum, tested a method of identifying optimal subsets of texture features from a large pool of possibilities. Three new features were added to this pool and tested against the others to determine their specific utility in the segmentation of SAR imagery. Their value is demonstrated by consistent appearance in optimal subsets of texture features, and by their contribution of up to 8% to image classification accuracy.
Library of Congress Subject Headings
Synthetic aperture radar; Image processing--Digital techniques; Filters (Mathematics)
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Paliouras, Eleni J., "Characterization of spatial texture for use in segmentation of synthetic aperture radar imagery" (1994). Thesis. Rochester Institute of Technology. Accessed from
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