罗布泊“大耳朵”地区多源遥感影像数据库的设计与实现  

Design and Realization of Multi-source Remote Sensing Images Database in Lop Nur "Great Ear" Area

作　　者：颜安[1] 蒋平安[1] 武红旗[1] 马黎春[2] 

机构地区：[1]新疆农业大学草业与环境科学学院,乌鲁木齐830052 [2]中国农业大学资源与环境学院,北京100094

出　　处：《地球信息科学》2009年第2期250-255,共6页Geo-information Science

基　　金：国家自然科学基金项目(40671080);土壤学自治区重点学科资助项目

摘　　要：目前,由空间数据引擎管理遥感影像数据的技术已经非常成熟,但在对多源遥感影像数据的合理组织和有效管理以及数据共享方面,还需要寻求更有效的方法。本文在分析不同遥感影像类型的基础上,结合罗布泊"大耳朵"地区研究的需要,设计实现了该区多源遥感影像数据库。讨论了逻辑上设计相同空间分辨率和不同空间分辨率的多源遥感影像数据存储的方法。即根据遥感影像数据的空间分辨率进行分类,并通过遥感影像元数据表建立多源遥感影像数据之间的逻辑关联来组织和管理影像数据的设计方法。该方法的成功运用,为多源遥感影像数据库的设计与建设提供了参考。The technology to manage remote sensing image data through the spatial data engine has been very mature, but how to organize reasonably, manage effectively and share easily of multi-source remote sensing image data need to seek more effective methods. In this article, according to the same spatial resolution and different spatial resolution, we designed logically multi-source remote sensing data storage model, and established multisource remote sensing image database, based on the analysis of the different types of remote sensing image data. Physical storage model, image data compression and image pyramid structure of remote sensing image data have been described. This article introduces methods of designing multi-source remote sensing image data storage logically on the same spatial resolution and different spatial resolution. That is the methods, which to organize and manage image data through establishing the relationship between multi-source remote sensing images by metadata table, based on the classification of the spatial resolution of remote sensing image data. The methods have been used successfully in this study, which will provide reference for design and construction of multi-source remote sensing image database.

关 键 词：罗布泊 多源遥感影像 数据库 空间分辨率 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP79[自动化与计算机技术—计算机科学与技术]