| 几种地球剖分网格分析与初探 |
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| 引用本文： | 宋树华,董芳,万元嵬,赵金玲,李世忠,席福彪,陈恺,张乐,陈东.几种地球剖分网格分析与初探[J].测绘学报,2016,45(Z1):48-55. |
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| 作者姓名： | 宋树华 董芳 万元嵬 赵金玲 李世忠 席福彪 陈恺 张乐 陈东 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | 遥感影像 剖分格网 GeoSOT 数据组织 |
| 收稿时间： | 2016-08-10 |
| 修稿时间： | 2016-10-20 |
Analysis and Research on Several Global Subdivision Grids |
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| SONG Shuhua,DONG Fang,WAN Yuanwei,ZHAO Jinling,LI Shizhong,XI Fubiao,CHEN Kai,ZHANG Le,CHEN Dong.Analysis and Research on Several Global Subdivision Grids[J].Acta Geodaetica et Cartographica Sinica,2016,45(Z1):48-55. |
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| Authors: | SONG Shuhua DONG Fang WAN Yuanwei ZHAO Jinling LI Shizhong XI Fubiao CHEN Kai ZHANG Le CHEN Dong |
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| Institution: | 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 |
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| 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. |
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| Keywords: | remote sensing image GeoSOT subdivision grid data organization |
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