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Proceedings Paper

Advanced Feature Extraction In Remote Sensing Using Artificial Intelligence And Geographic Information Systems
Author(s): John E Estes; Mark A Friedl; Jeffrey L Star
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Paper Abstract

Traditional computer assisted image analysis techniques in remote sensing lag well behind human abilities in terms of both speed and accuracy. A fundamental limitation of computer assisted techniques is their inability to assimilate a variety of different data types leading to an interpretation in a manner similar to human image interpretation. Expert systems and computer vision techniques are proposed as a potential solution to these limitations. Some aspects of human expertise in image analysis may be codified into expert systems. Image understanding and symbolic reasoning provide a means of assimilating spatial information and spatial reasoning into the analysis procedure. Knowledge-based image analysis systems incorporate many of these concepts and have been implemented for some well defined problem domains. Geographic information systems represent an excellent environment for this type of analysis by providing both analytic tools and contextual information to the analysis procedure.

Paper Details

Date Published: 12 October 1988
PDF: 8 pages
Proc. SPIE 0924, Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing, (12 October 1988); doi: 10.1117/12.945698
Show Author Affiliations
John E Estes, University of California (United States)
Mark A Friedl, University of California (United States)
Jeffrey L Star, University of California (United States)


Published in SPIE Proceedings Vol. 0924:
Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing
Philip N. Slater, Editor(s)

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