Research On Cloud Service Key Technologies For Remote Sensing Applications

In recent years,the rapid development of the field of cloud computing in remote sensing for the popularization and industrialization development of remote sensing application has brought the opportunity,at the same time,the increasing of the number of promotion and use of remote sensing application service for remote sensing mode has brought the huge challenge,make existing desktop in the form of remote sensing service delivery can’t meet the demand of application extension.At present,most remote sensing data processing applications are provided to users in the form of GUI software interface,and do not provide network services.Therefore,how to realize remote sensing application network and provide users with convenient remote sensing application service is an urgent problem in remote sensing field.In view of the above problems,this paper proposes to build a remote sensing data processing system based on cloud platform,transform common remote sensing applications by cloud server technology,and construct remote sensing cloud services that integrate business application system with computing and storage resources.Firstly,based on the software engineering research,this paper proposes the remote sensing data processing service system architecture based on cloud platform,abandons the traditional GUI interactive interface,connects the system functions with the cloud server,and discusses the remote sensing data processing service process based on cloud platform.Then,the key technologies for the realization of various functions of remote sensing application based on cloud platform are studied,and the solution is given by combing and analyzing the client system code.The remote sensing data processing service is encapsulated,and the remote sensing data service which is accessible through desktop software is realized by the method of interface call.Finally,this paper demonstrated the system functions and verified the remote sensing data processing system based on cloud platform by using remote sensing data parallel Mosaic processing as experiment.Experiments show that the remote sensing data processing system based on cloud platform can provide users with convenient remote sensing application services anytime and anywhere.