Design and Implementation of Distributed Space Remote Sensing Data Processing System

With the increase of the amount of aerospace remote sensing data, the processing speed of relevant data is getting higher and higher, and the traditional stand-alone mode can no longer meet the current big data business needs. In response to the above requirements, this paper uses distributed technology to improve processing performance, parses data in real time and stores it on the big data platform, and provides structured data for subsequent applications. Based on the cloud platform, the system dynamically applies for computing resources, and flexibly scales linearly on demand to achieve load balancing of the overall performance of the system and avoid the problem of single point of failure.