容器化的遥感信息服务平台技术研究与实验

doi:10.7523/j.ucas.2021.0013

中国科学院大学学报 ›› 2022, Vol. 39 ›› Issue (6): 793-800.DOI: 10.7523/j.ucas.2021.0013

• 电子信息与计算机科学 • 上一篇下一篇

容器化的遥感信息服务平台技术研究与实验

闫磊^1,2, 刘巍¹, 刘士彬¹, 段建波¹, 夏玮¹

1. 中国科学院空天信息创新研究院, 北京 100049;
2. 中国科学院大学资源与环境学院, 北京 100094

收稿日期:2020-11-13 修回日期:2021-02-23 发布日期:2021-05-31
通讯作者: 刘巍,E-mail:liuwei202614@aircas.ac.cn
基金资助:
国家重点研发计划政府间国际创新合作专项(2018YFE0100100)资助

Research and experiment on containerized remote sensing information service platform technology

YAN Lei^1,2, LIU Wei¹, LIU Shibin¹, DUAN Jianbo¹, XIA Wei¹

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China;
2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100094, China

Received:2020-11-13 Revised:2021-02-23 Published:2021-05-31

摘要/Abstract

摘要： 在遥感大数据的时代背景下，将遥感信息与实际生产结合，已经在各行各业得到广泛的应用。随着遥感信息处理与共享被应用到越来越多的领域，单一的遥感数据服务架构已不能满足实际生产条件中对于高可用、易扩展的要求。中国遥感卫星地面站存有海量的遥感影像数据，如何利用现有的数据来提供更好的信息服务一直是地面站探索的方向。在私有云环境下，通过kubernetes容器编排管理构建容器化的遥感信息技术处理平台，提供遥感信息服务。进而在容器化的基础环境、遥感影像计算处理、遥感数据接入以及用户服务模式4个方面展开技术研究，构建了集“数据查询获取—影像计算处理—遥感信息服务”于一体的遥感信息服务平台。

关键词: 容器化, 遥感信息服务, 云平台, kubernetes 容器配置管理, 遥感大数据

Abstract: Under the background of the era of remote sensing big data, combining remote sensing information with actual production has been widely used in all walks of life. With the processing and sharing of remote sensing information being applied to more and more fields, a single remote sensing data service architecture is no longer sufficient to meet the requirements of high availability and easy expansion in actual production conditions. China remote sensing satellite ground station has a huge amount of remote sensing image data, how to use existing data to provide better information services has always been the direction of ground station exploration. In this paper, under the private cloud environment, the containerized remote sensing information technology processing platform is constructed through kubernetes container arrangement to provide remote sensing information service. Furthermore, technical research is carried out in four aspects: the containerized basic environment, remote sensing image computing and processing, remote sensing data access and user service mode. A remote sensing information service platform integrating “data query and acquisition-image calculation processing-remote sensing information service” has been constructed.

Key words: containerization, remote sensing information service, cloud platform, kubernetes container arrangement, remote sensing big data

中图分类号:

TP79

闫磊, 刘巍, 刘士彬, 段建波, 夏玮. 容器化的遥感信息服务平台技术研究与实验[J]. 中国科学院大学学报, 2022, 39(6): 793-800.

YAN Lei, LIU Wei, LIU Shibin, DUAN Jianbo, XIA Wei. Research and experiment on containerized remote sensing information service platform technology[J]. Journal of University of Chinese Academy of Sciences, 2022, 39(6): 793-800.

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容器化的遥感信息服务平台技术研究与实验

Research and experiment on containerized remote sensing information service platform technology

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