The Research On Database Synchronization Technology For Massive Remote Sensing Data

With the rapid development of remote sensing information science technology and computer Internet technology, remote sensing application field has continuously expanded, and its application depth has been continuously deepen. Remote sensing data is gradually developing into the global coverage, multiple source, spatial resolution and temporal and spatial characteristics and other directions, and its data quantity explosively grow. In this case, how to realize the rapid distribution and sharing of massive remote sensing data, has been focused on by the remote sensing technology filed, and remote sensing application department.Realizing data update distribution, namely the data synchronization, is the key to implementation of remote sensing data distribution and share service. The focus is to solve the design of massive remote sensing data synchronization frame, the capture of data update in the process of synchronization, customized data distribution, the solution of data conflict and other questions. Current proposed data update capture method at home and abroad mainly include log method, snapshot method, shadow table method, control table method, application program interface(API) method, trigger method and timestamp method, etc. Data conflict resolution strategies mainly include update time based, priority based and specified data conflict resolution strategy, etc.In this paper, the main results are as follows:(1)It mainly studies the data synchronization, data updates capture and distribution and other related technologies and their research results at home and abroad.(2)It mainly analyzes the whole structure of the Massive Remote Sensing Data Resource Service Distribution System, the functions of each subsystem, the application of the database synchronization technology in the system and its existing problems.(3)It comes up with the database multilevel sync framework based on master-slave node structure, solves the data synchronization problem in the process of massive remote sensing data resource service distribution and sharing, and verifies the proposed architecture through experiments.(4)It comes up with the "Trigger- Program" database synchronization scheme facing massive remote sensing data and implements it. "Trigger- Program" database synchronization scheme realizes customized data distribution, solved the synchronization fault problem resulted in data conflicts, and verifies it through the experiments.(5)This paper used "Trigger- Program" database synchronization scheme into Massive Remote Sensing Data Resources Distribution and Sharing Service System and achieved good results.