遥感云服务是基于云计算技术,整合各种遥感信息和技术资源,通过互联网以按需共享的方式提供的遥感应用服务.本文在分析遥感云服务的基本模式和技术特点的基础上,阐述了遥感云服务的技术体系及关键技术,包括遥感数据云存储、遥感数据云处理、遥感应用云服务以及遥感数据云安全技术等,设计了遥感云服务平台总体架构和功能模块,并介绍了作者团队基于云计算技术研发的遥感云服务平台原型系统.该系统支持用户根据业务选择遥感数据和应用软件,在云服务平台自动部署的虚拟机上进行在线使用.实验表明,遥感云服务平台可以汇聚来自不同服务商的遥感信息、应用软件和计算资源,为用户提供一体化的按需应用服务,对于遥感技术的普及应用和产业化发展具有重要意义.

Remote sensing cloud services are the remote sensing application services provided through a network as a way of on-demand sharing of integrated remote sensing information and technological resources based-on cloud computing. Up on the analysis of service models and technical requirements, the author highlights the key technologies of remote sensing cloud services, including remote sensing data cloud storage, processing, application and security. We propose an architecture and functional design of the remote sensing cloud service platform and introduce a prototype developed by our R&D team. This remote sensing cloud service prototype allows users to choose required remote sensing data and software, and automatically deploys them to a virtual computer that users can access through Internet to perform their remote sensing data processing and application. Experiments show that the remote sensing cloud service platform can gather remote sensing information, software and computing resources from different providers, and provides them for sharing on user’s demand. Such a remote sensing service platform can signif icantly promote remote sensing to public users and a healthy development of the remote sensing industry.