Remote Sensing Minefield Area Reduction: Semantic Knowledge-Based Image Understanding

Details Remote Sensing Minefield Area Reduction: Semantic Knowledge-Based Image Understanding Remote Sensing Minefield Area Reduction: Semantic Knowledge-Based Image Understanding

Sep 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.553e..19s&link_type=abstract

Proceedings of ESA-EUSC 2004 - Theory and Applications of Knowledge-Driven Image Information Mining with Focus on Earth Observa

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Knowledge-Based Systems, Semantic Interpretation, Spatial Reasoning, Perceptual Organization

Scientific paper

This study addresses the design issues of an intelligent system for image understanding applied to remote sensing minefield area reduction. We propose a system using a combination of image processing techniques and a knowledge-based intelligent scheme that interactively cooperate together to produce a danger map of the surveyed area. This contribution suggests a semantic knowledge-based scene interpretation system. Our approach exploits semantic contextual information, combining scene and application domain knowledge. The conceptual issues of the proposed system, developed under the EU-IST ARC project "Airborne minefield area reduction", are presented and discussed.

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