Design and Implementation of Remote Sensing Big Data Platform Based on Distributed Architecture
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-less.A comprehensive solution for storage management,computational analysis,and visualiza-tion services of multi-source massive remote sensing data and basic spatial data is proposed to ad-dress the issues of massive remote sensing data volume,inconsistent management standards,in-tensive 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.
remote sensing big dataintegrated storage computingdistributed architectureBS and CS hybrid mode
万方数据
维普
