Detecting Man-Made Changes In Imagery

Mark J. Carlotto

doi:10.1117/12.960257

27 March 1989 Detecting Man-Made Changes In Imagery

Mark J. Carlotto

Author Affiliations +

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960257
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

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.

Citation Download Citation

Mark J. Carlotto "Detecting Man-Made Changes In Imagery", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960257

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