Interpreting Aerial Photographs By Segmentation And Search

David Harwood; Susan Chang; Larry S. Davis

doi:10.1117/12.939990

21 August 1987 Interpreting Aerial Photographs By Segmentation And Search

David Harwood, Susan Chang, Larry S. Davis

Proceedings Volume 0754, Optical and Digital Pattern Recognition; (1987) https://doi.org/10.1117/12.939990
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States

Abstract

A knowledge-based system for interpreting aerial photographs, Picture Query (PQ), first segments an image into primitive, homogeneous regions, then searches among combinations of these to find instances which satisfy definitions of object types. If primary evidence is insufficient, there may be an hypothesis-based search for the supporting evidence of related objects. This secondary search is restricted to windows by expected spatial relations. First instances are improved by searching for overlapping variants having better goodness-of-figure. The process may be repeated using re-estimated parameters of object definitions based on instances found previously. Results are reported for images of suburban neighborhoods, including roads, houses, and their shadows.

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David Harwood, Susan Chang, and Larry S. Davis "Interpreting Aerial Photographs By Segmentation And Search", Proc. SPIE 0754, Optical and Digital Pattern Recognition, (21 August 1987); https://doi.org/10.1117/12.939990

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