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Proceedings Paper

Detecting Man-Made Changes In Imagery
Author(s): Mark J. Carlotto
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Paper Abstract

A technique for detecting man-made objects using a fractal image modeling approach is described. The technique is based on comparing multiscale signatures computed within sliding windows over coincident regions in "before" and "after" images. The signatures are computed by successive morphological erosions and dilations of the image intensity surface. Similarity measures that are a function of the surface area, fractal dimension, and fractal dimension estimation error over a range of scales are developed for discriminating between natural and man-made changes. The algorithm is applied to digitized aerial photography and SPOT satellite imagery with very encouraging results. Implementation considerations for massively-parallel architectures are discussed.

Paper Details

Date Published: 27 March 1989
PDF: 8 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960257
Show Author Affiliations
Mark J. Carlotto, The Analytic Sciences Corporation (TASC) (United States)

Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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