摘要
地物标准波谱数据库中的地面测量的波谱数据为高光谱数据,而一条波谱数据不仅包括各个波段和反射率的信息,还有数据说明及配套参数的信息。我国典型地物标准波谱数据库中存储了大量的地面测量数据,如何对这些海量数据进行有效的管理并呈现出来,是波谱库维护工作所必须解决的问题。该文主要介绍和探讨了如下几个问题:波谱数据的流程;采用回收站的机制在库中管理单条和成批的波谱数据;对于一条波谱数据的数据说明和配套参数信息一次不能彻底删除的问题采取定期清除库中的冗余数据的办法解决;统计库中数据及其使用情况;采用多种方式完整呈现一条波谱及配套参数信息。并编程在Oracel9i、Windows2000Server和IIS平台上用Asp实现。
The measured spectral data in the spectral knowledge base(spectrum library)are all high spectral data,which are composed of band values and corresponding reflectance values,data explanation,and self-contained parameters.How to manage those magnanimous data stored in database effectively,including presenting them out logically,eliminating data redundancy and so on,becomes an important problem to be solved.For this purpose,following key points about data management are introduced and discussed in this paper:design of data operation flows;realizing data deletion and reversion piecemeal or in batches with mechanism of recycle bin;redundant data cleanup periodically;generating report forms on quantity and availability of data in storage respectively;presenting spectrum profile with corresponding metadata in various ways;on the platform of Oracel9i,Windows 2000 Server and IIS,this solution to spectral data management is realized and proved effective,as is instanced by spectral knowledge base.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第1期210-213,共4页
Computer Engineering and Applications
基金
国家重点基础研究发展规划项目(编号:G20000779)
国家863高技术研究发展计划项目(编号:2001AA135030)资助
关键词
波谱数据库
数据管理
回收站
冗余数据
spectral knowledge base,data management,recycle bin,redundancy cleanup