基于分布式架构的遥感大数据平台设计与实现

Design and Implementation of Remote Sensing Big Data Platform Based on Distributed Architecture

随着遥感技术能力的日益增强,遥感数据呈现出多元化和海量化,以致产生遥感大数据的存储管理、可视化和挖掘应用问题,导致数据“存而无用”。围绕遥感数据体量巨大、管理标准不统一、计算吞吐密集、应用门槛高的问题,提出一种用于多源海量遥感数据及基本空间数据的存储管理、计算分析、可视化服务的一体式解决方案,即通过“存储-计算”一体化的分布式软硬件架构,搭建BS与CS混合模式下分布式架构的遥感大数据平台。

With the increasing enhancement of remote sensing technology capabilities,remote sensing data has become diversified and massive,resulting in storage management,visualization,and mining application problems of remote sensing big data,leading to data being stored but use-Iess.A comprehensive solution for storage management,computational analysis,and visualization services of multi-source massive remote sensing data and basic spatial data is proposed to address the issues of massive remote sensing data volume,inconsistent management standards,intensive computing throughput,and high application barriers.This solution utilizes a distributed software and hardware architecture that integrates storage and computing,and builds a remote sensing big data platform with a hybrid architecture of BS and CS.