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Zhang, Jingzun, Xue, Yong, Dong, Jing, Liu, Jia, Liu, Longli, Siva, Sahithi and Guang, Jie (2014) Knowledge representation of remote sensing quantitative retrieval models. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, QUÉBEC CITY, CANADA.
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.
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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