基于本体知识库的遥感图像智能定轨  

Intelligent orbit determination based on remote sensing image of ontology knowledge base

作　　者：高有涛[1] 张佳栋 GAO Youtao;ZHANG Jiadong(College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学航天学院,南京210016

出　　处：《北京航空航天大学学报》2023年第5期1053-1062,共10页Journal of Beijing University of Aeronautics and Astronautics

基　　金：上海航天科技创新基金(SAST2017088)。

摘　　要：针对遥感图像的自主定轨方法存在图像误匹配和匹配速度慢的问题,基于本体知识库理论提出一种判断遥感图像观测资料有效性的智能推理方法。对遥感信息进行预处理,用于提取特征信息;分析基于图像定轨的知识结构框架,利用本体技术构建相应知识库系统;设计图像模板选择和判误规则,调用推理机进行推理得出观测资料有效性。将所提方法应用于基于图像特征点的卫星自主定轨,验证了方法的可行性。仿真结果表明:所提方法通过图像匹配模板选择和图像判误推理,计算速度提高了59.58%,导航位置精度和速度精度分别提高了10.58%和12.49%,有效提高了卫星自主定轨精度。The autonomous orbit determination method based on remote sensing image has the problems of image mismatch and slow matching speed.Based on ontology knowledge base theory,this paper proposes an intelligent reasoning method for improving the effectiveness of remote sensing image.Firstly,the remote sensing information is preprocessed to extract the feature.Secondly,the knowledge structure framework based on image orbit determination is analyzed,and the corresponding knowledge base system is constructed by ontology.Finally,the image template selection and error judgment rules are designed,and the inference engine is used to deduce the effectiveness of the observational data.This method is applied to autonomous satellite orbit determination simulation based on image feature points.The feasibility of the intelligent reasoning method is verified.The simulation results show that the computation speed is improved by 59.58%,and the navigation position precision and velocity precision are improved by 10.58%and 12.49%respectively.Therefore,the image matching template selection and image error judgment reasoning effectively improve the autonomous satellite orbit determination accuracy.

关 键 词：本体 知识库 遥感图像 图像特征 自主定轨 

分 类 号：P134[天文地球—天体力学]