The Application Of Knowledge Base And Digital Image Analysis Techniques To Automated Map Interpretation

Richard L. Sanford; Thomas Novak

doi:10.1117/12.947000

29 March 1988 The Application Of Knowledge Base And Digital Image Analysis Techniques To Automated Map Interpretation

Richard L. Sanford, Thomas Novak

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.947000
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

This paper reports on a funded research project to develop and test a microcomputer based hardware and software system that is capable of capturing and classifying digitized images of features found on topographic and production maps used by the minerals industry for exploration and planning. Images are captured using a 240 pixel-per-inch image scanner, and recognized map features are automatically incorporated into a database. Digitized images are processed using appropriate combinations of standard techniques for noise removal, boundary identification, and feature extraction. Map features are identified and feature tracing is guided by a frame-oriented knowledge-base processing system containing rules that interact with the image software. In-house development of both the image and knowledge-base processing software has greatly facilitated the necessary information flow between these two systems.

Citation Download Citation

Richard L. Sanford and Thomas Novak "The Application Of Knowledge Base And Digital Image Analysis Techniques To Automated Map Interpretation", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947000

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