On Knowledge-based Approach Of Integrating Remote Sensing, Geophysical And Geological Information

Abstract

An object-oriented and map-based prototype expert system is developed for integrating geophysical, geological, and remote sensing data for base metal exploration and tested using real exploration data from Farley Lake, Manitoba, Canada. Evidential belief function theory is utilized to manage the uncertainties in the system. The object-oriented knowledge representation structure and uncertainty propagation mechanisms used work well for this integrated exploration problem. In addition to other advantages of knowledge-based approach, the problem of dependent information can be dealt with in a knowledge-based system of this type by explicitly introducing important uncertainties and by organizing the relation network properly.