测绘学报 ›› 2016, Vol. 45 ›› Issue (S1): 48-55.doi: 10.11947/j.AGCS.2016.F006

• 论文 • 上一篇    下一篇

几种地球剖分网格分析与初探

宋树华1, 董芳2, 万元嵬2, 赵金玲3, 李世忠4, 席福彪5, 陈恺6, 张乐1, 陈东7   

  1. 1. 苍穹数码技术股份有限公司, 北京 100081;
    2. 61541部队, 北京 100094;
    3. 中国石油新疆油田公司数据公司, 克拉玛依 834000;
    4. 中国天绘卫星中心, 北京 102102;
    5. 中国运载火箭技术研究院研究发展中心, 北京 100076;
    6. 海参某局, 北京 100841;
    7. 国家信息中心, 北京 100045
  • 收稿日期:2016-08-10 修回日期:2016-10-20 出版日期:2016-12-31 发布日期:2017-03-29
  • 作者简介:宋树华(1980-),男,博士,高级工程师,研究方向为GIS理论与应用。E-mail:song-shuhua@163.com

Analysis and Research on Several Global Subdivision Grids

SONG Shuhua1, DONG Fang2, WAN Yuanwei2, ZHAO Jinling3, LI Shizhong4, XI Fubiao5, CHEN Kai6, ZHANG Le1, CHEN Dong7   

  1. 1. KQ GEO Technologies CO., LTD., Beijing 100081, China;
    2. Troops 61541, Beijing 100094, China;
    3. Data Company of Xinjiang Oilfield Branch of Petrochina, Karamay 834000, China;
    4. TH Center of China, Beijing 102102, China;
    5. China Academy of Launch Vehicle Technology Research and Development Center, Beijing 100076, China;
    6. Naval Staff, Beijing 100841, China;
    7. State Information Center, Beijing 100045, China
  • Received:2016-08-10 Revised:2016-10-20 Online:2016-12-31 Published:2017-03-29

摘要: 针对全球遥感卫星影像数据缺少统一组织框架的问题,从遥感影像数据特点出发,分析归纳了遥感影像统一组织框架的设计原则和设计难点,并对当前已提出的用于遥感影像统一组织的几种剖分格网方案进行概述。通过分析与比较,认为GeoSOT比较适合作为遥感影像的统一组织框架。

关键词: 遥感影像, 剖分格网, GeoSOT, 数据组织

Abstract: In order to solve the problem that lacking of an unified organization frame about global remote sensing satellite image data, this paper introduces serval global subdivision grids as the unified organization frame for remote sensing image. Based on the characteristics of remote sensing image data, this paper analyzes and summarizes the design principles and difficulties of the organization frame. Based on analysis and comparison with these grids, GeoSOT is more suitable as the unified organization frame for remote sensing image. To provide a reference for the global remote sensing image organization.

Key words: remote sensing image, GeoSOT, subdivision grid, data organization

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