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基于GeoSOT网格的“天绘一号”卫星影像数据组织
引用本文:李世忠,宋树华,程承旗,耿忠.基于GeoSOT网格的“天绘一号”卫星影像数据组织[J].遥感学报,2012,16(S1):102-107.
作者姓名:李世忠  宋树华  程承旗  耿忠
作者单位:北京大学 地球与空间科学学院, 北京 100871;北京大学 地球与空间科学学院, 北京 100871;北京大学 地球与空间科学学院, 北京 100871;北京上地测绘研究院, 北京 100085
基金项目:国家重点研究基础发展计划(973计划)(编号: 61399)
摘    要:目前“天绘一号”卫星数据按自身行业特点, 建立具有自身特点的空间数据组织方式与记录方式的信息组织系统, 存在不便于跨部门间数据的检索、共享和整合困难, 本文提出了基于地球剖分框架GeoSOT的天绘影像数据组织模型, 并在尽量不改变现有的天绘数据组织的前提下, 通过在天绘数据库编目中增加剖分索引的方式, 实现天绘影像数据全球“虚拟一张网”的数据组织。通过试验证明, 在现有天绘影像数据组织的基础上, 进行剖分组织改造代价不大且数据整合效率显著。

关 键 词:GeoSOT网格  剖分面片  反Z序  逻辑剖分  数据聚合
收稿时间:8/6/2012 12:00:00 AM
修稿时间:2012/11/20 0:00:00

Mapping Satellite-1 remote sensing data organization based on GeoSOT
LI Shizhong,SONG Shuhu,CHENG Chengqi and GENG Zhong.Mapping Satellite-1 remote sensing data organization based on GeoSOT[J].Journal of Remote Sensing,2012,16(S1):102-107.
Authors:LI Shizhong  SONG Shuhu  CHENG Chengqi and GENG Zhong
Institution:School of Earth & Space Sciences, Peking University, Beijing 100871, China;School of Earth & Space Sciences, Peking University, Beijing 100871, China;School of Earth & Space Sciences, Peking University, Beijing 100871, China;Beijing Shangdi Institute of Surveying and Mapping, Beijing 100085, China
Abstract:At present, there is own image organization model and recording mode for Mapping Satellite-1 data organization systems. However, due to the various data organization standards between departments, it is diffi cult for inter-departmental to retrieve, share and integrate remote sensing data. Therefore, this paper puts forward Mapping Satellite-1 image data organization model based on cells and its codes of GeoSOT (Geographical coordinate Subdividing grid with One dimension integer coding on 2n-Tree). To establish virtual one grid for Mapping Satellite-1 remote sensing data by adding a subdivision index in inventory database, which does not change the existing Mapping Satellite-1 data organization. At last, test shows that it costs little to transform the present data organization system and it is signifi cantly to prove data integration effi ciency.
Keywords:GeoSOT  subdivision cell  anti-Z order  logical subdivision  data aggregation
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