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Fractal error for detecting man-made features in aerial images

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3 Author(s)
Cooper, B.E. ; Comput. Sci. & Eng. Program, Louisville Univ., KY ; Chenoweth, D.L. ; Selvage, J.E.

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

Published in:
Electronics Letters  (Volume:30 ,  Issue: 7 )

Date of Publication: 31 Mar 1994

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