地球信息科学学报 ›› 2022, Vol. 24 ›› Issue (8): 1421-1431.doi: 10.12082/dqxxkx.2022.220036

• 地球信息科学理论与方法 •    下一篇

服务于空天协同对地观测的语义信息模型构建

卢万杰1,*(), 刘伟1, 牛朝阳1, 谢丽敏2, 吕亮2   

  1. 1.战略支援部队信息工程大学数据与目标工程学院,郑州 450001
    2.战略支援部队信息工程大学地理空间信息学院,郑州 450001
  • 收稿日期:2022-01-19 修回日期:2022-03-04 出版日期:2022-08-25 发布日期:2022-10-25
  • 作者简介:卢万杰(1991— ),男,河南焦作人,讲师,主要从事无人机遥感数据解译与应用方面的研究。E-mail: lwj285149763@163.com
  • 基金资助:
    国家自然科学基金项目(41901378);国家自然科学基金项目(42001338)

Construction of Semantic Information Model for Aerospace Cooperation Earth Observation

LU Wanjie1,*(), LIU Wei1, NIU Chaoyang1, XIE Limin2, LV Liang2   

  1. 1. Institute of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China
    2. Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China
  • Received:2022-01-19 Revised:2022-03-04 Online:2022-08-25 Published:2022-10-25
  • Contact: LU Wanjie
  • Supported by:
    National Natural Science Foundation of China(41901378);National Natural Science Foundation of China(42001338)

摘要:

空天协同对地观测技术快速发展,通过空天协同对地观测的语义信息建模获取信息和知识是服务于对地观测任务执行和规划制定的重要手段之一。为有效获取空天协同对地观测平台运行状态信息并服务于对地观测任务,提出构建服务于空天协同对地观测的语义信息模型。首先,设计空天协同对地观测平台领域本体,围绕时空关系和传感器对象建模,针对典型应用需求制定空天协同对地观测规则;然后,构建空天协同对地观测领域内时间和空间关系的语义描述,结合静态和动态场景语义表达,实现对空天协同对地观测场景的语义描述;最后,构建语义信息服务实验系统,验证模型与方法的效果。结果表明,所提模型与方法能够有效描述与展示空天协同对地观测平台的运行状态和执行任务情况,有助于对地观测任务规划和决策制定。

关键词: 空天协同, 对地观测, 领域本体, 语义模型, 对象建模, 观测规则, 信息描述, 实验系统

Abstract:

Earth observation technology is an important tool to obtain geospatial information and has now entered the stage of multi-platform and multi-sensor. Obtaining information and knowledge through the semantic modeling of aerospace cooperation earth observation is one of the important methods for the execution and planning of earth observation missions. To monitor the platform operation of aerospace cooperation earth observation and extract information and knowledge to serve the earth observation, a semantic model for aerospace cooperation earth observation is proposed. Firstly, the basic description of the domain ontology for aerospace cooperation earth observation platform is established, which can assist the clarification of research contents. Secondly, considering the correlation between different earth observation platforms and starting from the aspects of platform, sensor, time, and space, the domain ontology for aerospace cooperation earth observation platform is constructed based on Basic Formal Ontology, which is described by using six tuples. Thirdly, based on the modeling of spatiotemporal relationships and sensor objects, the cooperation observation rules for typical applications are formulated according to typical application requirements, to serve the evaluation and decision-making of aerospace cooperation earth observation tasks. Then, the semantic descriptions of spatiotemporal relationships are constructed, and the comprehensive semantic description of aerospace cooperation earth observation is realized by combining the semantic description of static and dynamic scenarios. Finally, in order to verify the domain ontology and semantic description for aerospace cooperation earth observation platform, based on the micro-service architecture and 3-dimension visualization framework, the service experimental system is built to verify the effectiveness of proposed models and methods, which takes Zhengzhou, the provincial capital of Henan, as an example. The aero-based and space-based earth observation platforms are used by the service experimental system to carry out the observation tasks, and the activities of aerospace cooperation earth observation are displayed in real time. Based on the cooperation observation rules, recommendations for the selection of the earth observation platform are given. Results show that the proposed models and methods can effectively represent and display the semantic information of operation status and task performance of aerospace cooperation earth observation, which can be used for mission planning and decision-making of earth observation. In follow-up research, a more refined semantic information model of aerospace cooperation earth observation will be constructed to support more complex earth observation scenarios. At the same time, the construction of cooperative observation rules under different application scenarios will be fully considered, and more accurate and detailed information will be provided for earth observation activities by reasoning.

Key words: aerospace cooperation, earth observation, domain ontology, semantic model, object modeling, observation rules, information description, experiment system