测绘通报 ›› 2017, Vol. 0 ›› Issue (5): 56-61.doi: 10.13474/j.cnki.11-2246.2017.0154

• 学术研究 • 上一篇    下一篇

分布式空间数据库在海量卫星影像管理中的应用

孙晶1,2, 高井祥1, 史绍雨2, 汪汇兵2, 艾波3   

  1. 1. 中国矿业大学环境与测绘学院, 江苏 徐州 221116;
    2. 国家测绘地理信息局卫星测绘应用中心, 北京 100048;
    3. 山东科技大学海岛(礁)测绘技术国家测绘地理信息局重点实验室, 山东 青岛 266590
  • 收稿日期:2016-10-09 修回日期:2017-01-12 出版日期:2017-05-25 发布日期:2017-06-03
  • 作者简介:孙晶(1992-),男,硕士生,主要研究方向为海量影像数据管理。E-mail:sunj92@126.com
  • 基金资助:
    国家自然科学基金(41271394)

Application of Distributed Spatial Database in Massive Satellite Images Management

SUN Jing1,2, GAO Jingxiang1, SHI Shaoyu2, WANG Huibing2, AI Bo3   

  1. 1. School of Environment Science and Spatial Informatics, CUMT, Xuzhou 221116, China;
    2. Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China;
    3. Key Laboratory of Surveying and Mapping Technology on Island and Reef, Qingdao 266590, China
  • Received:2016-10-09 Revised:2017-01-12 Online:2017-05-25 Published:2017-06-03

摘要: 针对现有影像存储方法在海量卫星影像存储中性能不足的问题,分析了现有卫星影像数据存储方法的特点,提出了基于分布式空间数据库管理影像元数据的改进方法。该方法采用文件系统存储影像非结构化的实体数据,影像的空间信息及元数据存储在分布式空间数据库中,实现了海量卫星影像数据的高性能存储,并开展了资源三号卫星影像数据管理试验。试验表明该方法在海量卫星影像数据查询性能方面有显著提高,适用于海量卫星影像数据存储。

关键词: 分布式空间数据库, 海量数据, 卫星影像, 影像管理, MySQL数据库

Abstract: Aiming at the problem that the existing satellite image storage solutions have poor performance in massive image data, this paper gives the analysis of characteristics of the existing satellite image data storage solutions, and puts forward an improved solution based on distributed spatial database to manage the image metadata. This solution utilized file system to store unstructured entity data of satellite image, in the same time, the spatial information and image metadata is stored in distributed spatial database. As a result, it achieves the high performance storage of unstructured image data. ZY-3 satellite image data management experiment has been carried out, and it shows that this solution is of a significant improvement in the query performance of massive satellite image data, and it is suitable for the storage of massive satellite image data.

Key words: distributed spatial database, massive data, satellite image, image management, MySQL

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