基于MPI并行计算的卫星遥感数据变化监测系统设计
2022,30(11):32-37
摘要：为控制卫星遥感数据变化指征与非变化指征之间的实值误差，实现对卫星遥感数据传输变化行为的准确监测，设计基于MPI并行计算的卫星遥感数据变化监测系统。建立A/D转换电路与Zigbee网络节点的匹配关系，将所得卫星遥感数据按需分配给传感器模块与协调器设备，完成数据采集与监测终端的硬件设计。按照并行拓扑结构连接形式，实施MPI的基本调用，再联合数据进程编写原则，实现对MPI并行计算的完善。根据传感器几何校正原理，求取遥感数据度量值，再分析核函数表达式，完成对卫星遥感数据的处理。利用MPI并行计算，控制数据采集与监测终端的硬件执行设备，完成卫星遥感数据变化监测系统设计。实验结果表明，所设计系统的卫星遥感数据变化指征与非变化指征之间的实值误差明显缩小，能够准确监测卫星遥感数据传输变化行为。
关键词：MPI并行计算；卫星遥感；数据监测；A/D转换；数据进程；传感器校正；
Design of Satellite Remote Sensing Data Change Monitoring System Based on MPI Parallel Computing
Abstract：In order to control the real value error between the change indication and non change indication of satellite remote sensing data and realize the accurate monitoring of the change behavior of satellite remote sensing data transmission, a satellite remote sensing data change monitoring system based on MPI parallel computing is designed. Establish the matching relationship between A / D conversion circuit and ZigBee network nodes, distribute the satellite remote sensing data to sensor module and coordinator equipment as needed, and complete the hardware design of data acquisition and monitoring terminal. According to the connection form of parallel topology, the basic call of MPI is implemented, and then the principle of data process writing is combined to improve MPI parallel computing. According to the principle of sensor geometric correction, the measurement value of remote sensing data is obtained, and then the expression of kernel function is analyzed to complete the processing of satellite remote sensing data. Using MPI parallel computing to control the hardware execution equipment of data acquisition and monitoring terminal, the design of satellite remote sensing data change monitoring system is completed. The experimental results show that the real value error between the change indication and non change indication of satellite remote sensing data of the designed system is significantly reduced, and can accurately monitor the change behavior of satellite remote sensing data transmission.
Key words：MPI parallel computing; Satellite remote sensing; Data monitoring; A/D conversion; Data process; Sensor calibration;
收稿日期：2022-05-09
基金项目：National natural science foundation of China (42171407 ,42077242)
