Automating Knowledge Acquisition For Aerial Image Interpretation

David M. McKeown Jr.; Wilson A. Harvey

doi:10.1117/12.940080

6 June 1987 Automating Knowledge Acquisition For Aerial Image Interpretation

David M. McKeown Jr., Wilson A. Harvey

Proceedings Volume 0758, Image Understanding and the Man-Machine Interface; (1987) https://doi.org/10.1117/12.940080
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States

Abstract

The interpretation of aerial photographs requires a lot of knowledge about the scene under consideration. Knowledge about the type of scene: airport, suburban housing development, urban city, aids in low-level and intermediate level image analysis, and will drive high-level interpretation by constraining search for plausible consistent scene models. Collecting and representing large knowledge bases requires specialized tools. In this paper we describe the organization of a set of tools for interactive knowledge acquisition of scene primitives and spatial constraints for interpretation of aerial imagery. These tools include a user interface for interactive knowledge acquisition, the automated compilation of that knowledge from a schema-based representation into productions that are directly executable by our interpretation system, and a performance analysis tool that generates a critique of the final interpretation. Finally, the generality of these tools is demonstrated by the generation of rules for a new task, suburban house scenes, and the analysis of a set of imagery by our interpretation system.

Citation Download Citation

David M. McKeown Jr. and Wilson A. Harvey "Automating Knowledge Acquisition For Aerial Image Interpretation", Proc. SPIE 0758, Image Understanding and the Man-Machine Interface, (6 June 1987); https://doi.org/10.1117/12.940080

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