大规模卫星遥感数据资源目录技术研究  

Research on Catalog Technology of Large-scale Satellite Remote Sensing Data Resources

作　　者：王志宝[1] 赵亮 马轩 刘坤峄 WANG Zhibao;ZHAO Liang;MA Xuan;LIU Kunyi(School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318)

机构地区：[1]东北石油大学计算机与信息技术学院,大庆163318

出　　处：《计算机与数字工程》2023年第10期2293-2299,共7页Computer & Digital Engineering

摘　　要：当前多源异构的遥感数据在共享方面存在着数据组织差异、数据检索效率低等问题。制定规范化的遥感数据资源目录是大规模遥感数据管理和共享的基础。NASA的统一元数据模型UMM提供了权威的数据映射标准。论文首先基于UMM构建遥感元数据集成模型,并统一遥感元数据的接入规范。设计并实现了基于Elasticsearch的海量遥感数据检索技术,有效解决了多源异构情况下遥感数据资源目录检索效率低下的问题。At present,the sharing of multi-source heterogeneous remote sensing data has problems in data organization differences and low data retrieval efficiency.Formulating a standardized remote sensing data resource catalog is the basis for large-scale remote sensing data management and sharing.NASA's unified metadata model UMM provides an authoritative data mapping standard.At first,this article builds a remote sensing metadata integration model based on UMM,and unifies the remote sensing metadata access specifications.This article designs and implements a massive remote sensing data retrieval technology based on Elasticsearch,which effectively solves the problem of low retrieval efficiency of remote sensing data resource catalogues under multi-source heterogeneous situations.

关 键 词：数据目录 遥感数据 混合检索 UMM 

分 类 号：TP702[自动化与计算机技术—检测技术与自动化装置]