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Proceedings Paper

Interpretation Of Aerial Imagery Using A Constraint-Based Approach
Author(s): Darwin Kuan; Hormoz Shariat; Kalyan Dutta
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Paper Abstract

This paper describes a constraint-based image understanding system (COBIUS) for aerial imagery interpretation. COBIUS consists of knowledge bases for domain objects, spatial and temporal constraints, control strategies, blackboard areas to instantiate hypotheses of objects and constraints, and an image feature database to fuse results from multiple image segmentation modules. Unlike previous efforts on knowledge-based image understanding where domain-specific rules are encoded for image interpretation, in COBIUS, domain-specific knowledge is represented in terms of generic temporal and spatial constraints. A set of generic constraint manipulation and hypothesis formation rules are used to perform formation, evaluation, propagation, and satisfaction of constraints and hypotheses. More importantly, constraints are represented hierarchically and are no different from the representation of domain objects. This representation avoids time-consuming graph matching processes for image interpretation and provides greater representation modularity.

Paper Details

Date Published: 29 March 1989
PDF: 8 pages
Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); doi: 10.1117/12.952675
Show Author Affiliations
Darwin Kuan, Lockheed Artificial Intelligence Center (United States)
Hormoz Shariat, Lockheed Artificial Intelligence Center (United States)
Kalyan Dutta, Lockheed Artificial Intelligence Center (United States)


Published in SPIE Proceedings Vol. 1076:
Image Understanding and the Man-Machine Interface II
Eamon B. Barrett; James J. Pearson, Editor(s)

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