Fractal error for detecting man-made features in aerial images |
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Authors: | Cooper BE Chenoweth DL Selvage JE |
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Affiliation: | Comput. Sci. & Eng. Program, Louisville Univ., KY; |
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Abstract: | A technique is proposed for aiding photointerpreters in detecting man-made features in aerial reconnaissance images. The technique, which uses a metric called fractal error, is based on the observed propensity of natural image features to fit a fractional Brownian motion model. Man-made features usually do not fit this model well, and consequently the fractal error metric may be used as a discriminant function for detecting man-made scene features |
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