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Proceedings Paper

Change Detection In Monochromatic Imagery
Author(s): Larry S. Davis; David A. Harwood; Ling Tony Chen; Diane Hsu
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Paper Abstract

An important application of vision in aerial reconnaissance is the detection and classification of changes between images of the same scene taken at different times. There are a variety of factors that make this an exceedingly difficult problem: 1) The images are ordinarily taken from (slightly) different vantage points. If the images are taken at sufficiently high altitudes, then the images can, in principle, be registered by a single global coordinate transformation. Otherwise (and this is often the case) the images must be treated as a stereo pair, and the corresponding disparity field must be computed in order for the images to be compared.

Paper Details

Date Published: 21 March 1989
PDF: 10 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969315
Show Author Affiliations
Larry S. Davis, University of Maryland (United States)
David A. Harwood, University of Maryland (United States)
Ling Tony Chen, University of Maryland (United States)
Diane Hsu, University of Maryland (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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