地球信息科学学报 ›› 2012, Vol. 14 ›› Issue (1): 116-122.doi: 10.3724/SP.J.1047.2012.00116

• 遥感技术与应用 • 上一篇    下一篇

面向城市应用的多源遥感影像服务平台设计与实现

钟九生, 江南*, 胡斌, 王俊淑   

  1. 南京师范大学虚拟地理环境教育部重点实验室, 南京 210046
  • 收稿日期:2011-05-25 修回日期:2011-11-07 出版日期:2012-02-25 发布日期:2012-02-24
  • 通讯作者: 江南(1957-),男,江苏南通人,博士生导师,主要研究方向为3S应用与虚拟现实。E-mail:njiang@njnu.edu.cn E-mail:njiang@njnu.edu.cn
  • 作者简介:钟九生(1984-),男,江西兴国县人,博士研究生,主要研究方向为GIS技术应用与虚拟地理环境可视化。E-mail:zhongjiusheng@sina.com
  • 基金资助:

    国家自然科学基金项目(40801149);江苏高校优势学科建设工程资助项目。

Design and Development of City Application Service Platform for Multi-source Remote Sensing Images

ZHONG Jiusheng, JIANG Nan*, HU Bin, WANG Junshu   

  1. Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China
  • Received:2011-05-25 Revised:2011-11-07 Online:2012-02-25 Published:2012-02-24

摘要: 本文对面向城市应用的多源遥感影像服务平台的系统目标、系统流程、功能模块和关键技术进行了分析。通过遥感影像数据源、管理方式和业务流程的分析,设计了多源遥感影像数据的逻辑组织模型,建立了海量多源遥感影像库。本文详细阐述了系统的影像预处理、影像数据管理、影像数据应用服务和安全权限控制四大功能模块,并分析了系统架构、多源遥感影像元数据的自动抽取、影像数据的快速检索和影像数据高效在线应用服务的关键技术。为保证系统的高安全性、实时性与可靠性,采用部署在局域网内的客户机/服务器与浏览器/服务器的混合体系结构。实验表明,本文的研究成果实现了海量多源遥感影像数据的统一高效管理、快速检索、高效浏览及与其他子系统的无缝集成,为城市应用提供了便捷的影像数据服务,有利于进一步发挥影像资料的作用。

关键词: 城市应用, 多源, 遥感影像, 服务平台

Abstract: The management and sharing of multi-source remote sensing images is very important for full using of image data, however, the traditional management modes sometimes appear passive effects in practice, owing to the lack of techniques. In this paper, we presented and discussed the system goals, the system flow, four function modules and four key technologies. Through analyzing the data source, existing management mode and business processes of remote sensing images, we designed a logical organization model of multi-source remote sensing images, and then established a massive remote sensing image database. Then we discussed the four function modules in detail and analysis the four key technologies. The four function modules are image pre-processing, image management, security control and image applications and services. And the key technologies are the system architecture on the basis of plug-in module and messages broadcast mechanism, automatic extracting meta-data, quick searching for images and efficiently online application services. The system uses Client/Server and Browser/Server mixed architecture, which is developed in the local area network to ensure a highly safe reliable and real-time environment. The result shows, comparing with traditional methods, this study achieves a unified and efficient management, quick searching, efficient browsing of massive multi-source remote sensing images and seamless integration with other subsystems, which provides convenient image data services for city application and helps to make further use of remote sensing images.

Key words: city application, multi-source, remote sensing image, service platform