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CISST
2003

Virtual Experts for Imagery Registration and Conflation

14 years 26 days ago
Virtual Experts for Imagery Registration and Conflation
The unique human expertise in imagery analysis should be preserved and shared with other imagery analysts to improve image analysis and decision-making. Such knowledge can serve as a corporate memory and be a base for an imagery virtual expert. The core problem in reaching this goal is constructing a methodology and tools that can assist in building the knowledge base of imagery analysis. This paper provides a framework for an imagery virtual expert system that supports imagery registration and conflation tasks. The approach involves tree strategies: (1) recording expertise on-the-fly and (2) ex-extracting information from the expert in an optimized way using the theory of monotone Boolean functions and (3) use of iconized ontologies to build a conflation method. The paper presents an ontological iconic registration/conflation method based on this methodology that is implemented as an ArcGIS Plug-in. To be able to do this we build an OWL ontology for the Feature Attribute Coding Catal...
Boris Kovalerchuk, Artemus Harper, Michael Kovaler
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where CISST
Authors Boris Kovalerchuk, Artemus Harper, Michael Kovalerchuk
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