Knowledge representation of remote sensing quantitative retrieval models

A large number of quantitative retrieval models have been proposed in recent years, and there is continuous momentum in proposing new ones. Building a model, from design through to implementation stages, involves a process of knowledge collection, organization and transmission. In this paper we introduce the SECI model to manage the conversion of qualitative remote sensing knowledge and propose a mode of knowledge representation on the basis of the ontology for geospatial modeling. We develop a platform based on the above research and demonstrate the efficiency of the knowledge representation mode using this platform.