面向多源异构信息的空间态势知识获取框架研究

Yining Song, Zhanyue Zhang
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引用次数: 0

摘要

现有空间态势信息的整合与应用缺乏系统性和兼容性。因此,本文主要研究如何构建空间态势知识获取的综合框架来解决上述问题。首先,对从各种异构多源信息源收集到的数据或信息进行整理。然后,采用迭代聚类方法对多源数据进行聚类,获得信息相加,通过综合集成生成空间态势的整体知识成果。这是以往仅获取单个传感器不同层次、不同原理的空间目标数据的知识获取方法,为后续空间态势知识的应用奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Space Situational Knowledge Acquisition Framework for Multi-source Heterogeneous Information
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.
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