REMOTE SENSING MINEFIELD AREA REDUCTION: SEMANTIC KNOWLEDGE-BASED IMAGE UNDERSTANDING

摘要

This study addresses the design issues of an intelli- gent system for image understanding applied to re- mote sensing minefield area reduction. We propose a system using a combination of image processing tech- niques 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 sys- tem. Our approach exploits semantic contextual in- formation, 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.