Research on Space Situational Knowledge Acquisition Framework for Multi-source Heterogeneous Information

Abstract

The integration and application of existing spatial situation information lacks systematicness and compatibility. Therefore, this paper mainly focuses on how to build a comprehensive framework for space situational knowledge acquisition to solve the above problems. Firstly, the data or information collected from various heterogeneous multi-source information sources are sorted out. Then, the iterative clustering method is used to aggregate the multi-source data to obtain the information addition, and the overall knowledge achievement of spatial situation is generated through comprehensive integration. This is the previous knowledge acquisition method that only obtains spatial target data at different levels and principles for a single sensor, laying a foundation for the subsequent application of spatial situation knowledge.