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An Ontology-Based Framework for Integrating Remote Sensing Imagery, Image Products, and In Situ Observations
Journal of Sensors ( IF 1.9 ) Pub Date : 2020-11-25 , DOI: 10.1155/2020/6912820
Chao Wang 1, 2 , Xinyan Zhuo 1 , Pengfei Li 3 , Nengcheng Chen 1, 2 , Wei Wang 1, 2 , Zeqiang Chen 1, 2
Affiliation  

Along with the rapid development of remote sensing satellites and sensor network technology, vast amounts of remote sensing imagery and in situ observations have been accumulated. Further, various researchers and agencies have released a variety of thematic image products. These heterogeneous observations are therefore difficult to utilize comprehensively. In this study, an ontology-based framework for integrating remote sensing imagery, image products, and in situ observations was developed. It was extended based on the Semantic Sensor Network (SSN) ontology in the Web Ontology Language (OWL). The detailed process of ontology construction and rule establishment was demonstrated. Combined with some actual remote sensing imagery, image products, and in situ observations, semantic queries based on DL Query and SPARQL were conducted to establish the rationality and feasibility of the ontology and framework.

中文翻译:

基于本体的框架,用于集成遥感影像,影像产品和原位观测

随着遥感卫星和传感器网络技术的飞速发展,已积累了大量的遥感影像和实地观测资料。此外,各种研究人员和机构已经发布了各种主题图像产品。因此,这些异质性观察难以全面利用。在这项研究中,开发了一个基于本体的框架,用于集成遥感图像,图像产品和原位观测。它是基于Web本体语言(OWL)中的语义传感器网络(SSN)本体进行扩展的。演示了本体构建和规则建立的详细过程。结合一些实际的遥感影像,影像产品和原位观测,
更新日期:2020-11-25
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