Optimization And Realization Of Radar Image Processing And Display Platform

In view of the lack of SAR(Synthetic Aperture Radar)image processing platform needsin domestic,the laboratory started to build a radar image processing and display platform(RIDP).However,with the advance of the timeline,the positioning of the project,goals and needs continue to change,the current system architecture is no longer able to support new requirements.In this paper,RIDP system is optimized on the basis of analyzing the structure of RIDP system.The research contents of this paper include the following aspects:1.Scheduling Server ConstructionBased on WCF TechnologyAiming at the problem of the large amount of remote sensing image data and remote sensing image processing user low friendliness,on the basis of studying the principle of WCF(Windows Communication Foundation)and its advantages,using WCF technology to build a scheduling server,separate foreground display,background processing and data distribution management phase of the RIDP system by scheduling server,so that the logic of the various modules of the system more clearly,and RIDP system from centralized software system into a distributed software system.2.Task Queue System Middleware BuildIn the case of too many processing tasks,the server pressure is too large,the user waits for a long time to respond,based on the study of the principles and advantages of mature cohort frameworks such as Kafka and Rabbit MQ,this paper proposes a task queue system middleware which is suitable for RIDP project,to ensure that in the extraordinary state,cluster server load balancing,better user experience,optimize the RIDP project as a four-tier architecture with a highly available,user-friendly system,so that the RIDP system from the serial processing system into an asynchronous processing system.3.Research on Data Organization and Management ModeIn view of the problem that the management cost of remote sensing image data increases rapidly with the increase of data volume,in this paper,while the system optimization work is completed,in order to make the system run more stable and reasonable,the data management model of the system has been rationally transformed,which provides good data support for the operation of RIDP system.Project practice proved that the optimization of RIDP project can effectively accomplish the task of remote sensing image processing.The system has the characteristics of high availability and strong expansibility,and the improvement of user experience is significant.This paper provides a solution for the independent development and optimization of remote sensing image processing platform needs.