大数据 ›› 2022, Vol. 8 ›› Issue (2): 58-74.doi: 10.11959/j.issn.2096-0271.2022015

• 专题:空天大数据 • 上一篇    

基于容器云技术的典型遥感智能解译算法集成

赵智韬1,2, 赵理君1, 张正1, 唐娉1   

  1. 1 中国科学院空天信息创新研究院,北京 100094
    2 中国科学院大学资源与环境学院,北京 100049
  • 出版日期:2022-03-01 发布日期:2022-03-01
  • 作者简介:赵智韬(1998- ),男,中国科学院大学资源与环境学院硕士生,主要研究方向为遥感信息提取
    赵理君(1986- ),男,博士,中国科学院空天信息创新研究院副研究员,主要研究方向为高分辨率遥感图像信息解译算法研究及工程应用
    张正(1989- ),男,博士,中国科学院空天信息创新研究院助理研究员,主要研究方向为人工智能的遥感应用以及遥感算法集成运行系统的构建
    唐娉(1968- ),女,中国科学院空天信息创新研究院研究员、博士生导师,主要研究方向为遥感图像处理和大数据技术研究
  • 基金资助:
    国家自然科学基金资助项目(41701397);中国科学院空天信息创新研究院“未来之星”人才计划项目(2020KTYWLZX03);中国博士后科学基金资助项目(2019M660852)

Integration of remote sensing intelligent processing algorithm using container cloud technology

Zhitao ZHAO1,2, Lijun ZHAO1, Zheng ZHANG1, Ping TANG1   

  1. 1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2022-03-01 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(41701397);“Future Star” Talent Plan of Aerospace Information Research Institute, Chinese Academy of Sciences(2020KTYWLZX03);China Postdoctoral Science Foundation(2019M660852)

摘要:

针对当前航天遥感信息处理向云计算发展的趋势,将容器云技术应用于遥感数据的智能处理,通过在计算集群中部署遥感解译算法镜像与分布式存储服务,屏蔽复杂的环境依赖问题,并通过配置文件进行流程管理,形成了从开发到部署的整体技术路线,为遥感智能解译技术的集成提供了高效可靠的新思路。以几种典型的遥感智能解译算法为例,证明了该方案在智能解译模型的集成化开发部署上的高效性,为遥感智能解译技术的新型云端模式探索了可行性方案。

关键词: 人工智能, 深度学习, 遥感图像, 智能解译, 容器云技术

Abstract:

With the development of cloud computing technology in remote sensing data processing, container cloud technology was applied to remote sensing data processing, remote sensing intelligent processing algorithm image was deployed and storage services were distributed in the computing cluster, shielding complex environmental dependence problems.And management through configuration files was processed forming an overall technical route from development to deployment, which provides an efficient and reliable new scheme for the integration of remote sensing intelligent processing algorithms.Taking several typical remote sensing intelligent algorithms as examples, the efficiency of the scheme in the integrated development and deployment was proved, and the feasibility of the new cloud mode of remote sensing intelligent technology was explored.

Key words: artificial intelligence, deep learning, remote sensing image, intelligent processing, container cloud technology

中图分类号: 

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