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Advanced feature extraction in remote sensing using artificial intelligence and geographic information systemsTraditional 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, providing both analytic tools and contextual information to the analysis procedure.
Document ID
19890040413
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Estes, John E.
(California Univ. Santa Barbara, CA, United States)
Friedl, Mark A.
(California Univ. Santa Barbara, CA, United States)
Star, Jeffrey L.
(California, University Santa Barbara, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1988
Subject Category
Cybernetics
Meeting Information
Meeting: Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing
Location: Orlando, FL
Country: United States
Start Date: April 6, 1988
End Date: April 8, 1988
Accession Number
89A27784
Funding Number(s)
CONTRACT_GRANT: NAGW-987
CONTRACT_GRANT: NAGW-455
Distribution Limits
Public
Copyright
Other

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