艇载低空遥感数据管理系统构建  

Building of Airship Low Altitude Remote Sensing Data Management System

作　　者：杜丽丽 易维宁[1] 张冬英[1] 方薇 宋波 DU Lili;YI Weinrng;ZHANG Dongying;FANG Wei;SONG Bo(Key Laboratory of Optical Calibration and Characterization,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China)

机构地区：[1]中国科学院安徽光学精密机械研究所中国科学院通用光学定标与表征技术重点实验室

出　　处：《大气与环境光学学报》2019年第5期359-366,共8页Journal of Atmospheric and Environmental Optics

基　　金：国家自然科学基金,41601379;国家973计划项目,61322504~~

摘　　要：为满足卫星图像仿真信息全要素、多专题、分层存储管理的需要,构建了集高光谱影像、高分辨率彩色图像、热红外影像、高光谱波谱信息、大气环境信息、GPS信息为一体的艇载低空遥感数据管理系统.该系统首先根据测量系统数据量大、类型多样、时间跨度长的特点,提出了一种移动存储模型,利用Oracle支持二进制大字段(Binary Large OBject,BLOB)的优势,采用数据分区迁移技术,实现多源、海量图像信息的集成和移动存储.在此基础上,以VC++作为前台应用程序开发工具,OLE自动化服务器(Oracle objects for OLE,0040)作为中间访问接口,Oracle作为后台数据库管理系统,实现了艇载低空遥感测量系统信息的全面描述和有效管理,为卫星图像仿真和多源遥感数据定量化应用提供了一个综合化、专业化的数据共享平台.Space image simulation needs a complete description and effective management of the information acquired from the unmanned airship low-altitude remote sensing measurement system.So a database system is built,which integrates hyperspectral image,high resolution image,infrared image,spectrum data,atmosphere data,environment data and GPS information.According to the data characteristics of the measurement system,a mobile storage model is proposed.By utilizing the superiority of binary large object(BLOB)supported by Oracle and the data partitioning technology,the model can realize the integrated management and mobile storage of the multi-source image information.The database system is developed by using Visual C++as foreground development tool,Oracle objects for OLE(0040)as accessing interface and Oracle as the background database management system.Base on the adopted techniques,this system not only realizes complete description and effective organization of the data of the measurement system,but also provides a systematized and specialized information platform for space image simulation and quantitative application of multi-source remote sensing data.

关 键 词：低空遥感 数据库 高光谱图像 分区迁移 OO4O 

分 类 号：TP73[自动化与计算机技术—检测技术与自动化装置]