Ontological concept extraction based on image understanding and describing of remote sensing domain

When using ontological theory to set up remote sensing image knowledge system, the majority of scholars by now regard ontology as logical theory for defining the object, attribution relation, affair and process of remote sending knowledge system. But understanding and describing the real world makes that logical theory be unable to unify concepts with the same practical meaning from different concept models, so bring grid service system drawbacks in knowledge delivering and sharing. To solve that issue requires further improvement of the defining method and model for concepts in ontology. This paper presents a neural network remote sensing image ontological concept extraction model based on image understanding and describing, utilize the theory of bionic optimization, and adopts the combination of artificial neural network with the rule-based knowledge Recognition System. Realize the knowledge delivering and sharing among different information systems or make the knowledge delivering and sharing between client and system possible and effective.