| 高光谱数据在数据库中的高效存储技术研究 |
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| 引用本文： | 张雄飞,张兵,张霞,郑兰芬,童庆禧. 高光谱数据在数据库中的高效存储技术研究[J]. 遥感学报, 2004, 8(5): 404-408 |
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| 作者姓名： | 张雄飞 张兵 张霞 郑兰芬 童庆禧 |
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| 作者单位： | 中国科学院,遥感应用研究所,北京,100101 |
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| 基金项目： | 国家自然科学基金 (编号 :40 2 710 85 )，国家 863 13“我国典型地物标准波谱库”项目支持，北京市自然科学基金“面向精准农业的作物光谱数据库研究”支持 |
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| 摘 要： | 通过分析高光谱数据的特点 ,结合数据库系统开发实践 ,提出了高光谱数据集 ,包括图像、光谱、属性等 ,在关系数据库中的存储规范。结合ORACLE数据平台 ,提出了 3种高光谱数据的存储模式 ,并结合应用实例进行对比 ,分析了各自的优缺点以及适用条件。
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| 关 键 词： | 高光谱 关系数据库 存储 Oracle |
| 文章编号： | 1007-4619(2004)05-0404-05 |
| 收稿时间： | 2003-05-30 |
| 修稿时间： | 2003-05-30 |
Research in Effectively Storing the Hyperspectral Data Set in Database System |
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| ZHANG Xiong-fei,ZHANG Bing,ZHANG Xi,ZHENG Lan-fen and TONG Qing-xi. Research in Effectively Storing the Hyperspectral Data Set in Database System[J]. Journal of Remote Sensing, 2004, 8(5): 404-408 |
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| Authors: | ZHANG Xiong-fei ZHANG Bing ZHANG Xi ZHENG Lan-fen TONG Qing-xi |
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| Affiliation: | Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China |
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| Abstract: | The hyperspectral remote sensing plays more and more important roles in Remote Sensing area. Correspondingly its application becomes wider and wider. Some new hyperspectral airborne and space borne sensors provide us more choice to use such data. Hyperspectral database system is very important in improving the research in remote sensing theory, quantitative study, and applications. This paper aims to analyze the characteristic of hyperspectral data and provide a standard storing rule for the hyperspectral data set in the relation database system with practice of database system development. The hyperspectral data set include the spatial, spectral and other properties data. Three storing models in Oracle database platform are also displayed here, and compared with the practical application. Finally their advantages, shortcomings and the choosing conditions are analyzed. |
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| Keywords: | hyperspectral data database store Oracle |
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