艇载低空遥感数据管理系统构建

摘要/Abstract

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, OO4O)
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。

关键词: 低空遥感, 数据库, 高光谱图像, 分区迁移, OO4O

Abstract: 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 (OO4O) 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.

Key words: low altitude remote sensing, database, hyperspectral image, partitioning transfer, Oracle objects for OLE

中图分类号:

TP73

杜丽丽,易维宁,张冬英,方薇,宋波. 艇载低空遥感数据管理系统构建[J]. 大气与环境光学学报.

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