In earth observation or planetary exploration it is necessary to have more and, more autonomous systems, able to adapt to unpredictable situations. This imposes the use, in artificial systems, of new concepts in cognition, based on the fact that perception should not be separated from recognition and decision making levels. This means that low level signal processing (perception level) should interact with symbolic and high level processing (decision level). This paper is going to describe the new concept of active vision, implemented in Distributed Artificial Intelligence by Dassault Aviation following a 'structuralist' principle. An application to spatial image interpretation is given, oriented toward flexible robotics.
Active Vision in Satellite Scene Analysis
1994
4 pages
Report
No indication
English
Natural Resource Surveys , Pattern Recognition & Image Processing , Computers, Control & Information Theory , Active control , Autonomy , Cognition , Computer vision , Earth observations (From space) , Image processing , Satellites , Scene analysis , Signal processing , Space exploration , Artificial intelligence , Computerized simulation , Decision making , Knowledge representation , Foreign technology
Active vision in satellite scene analysis
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