遥感卫星数据预处理功能扩展模型设计与实现

Design and Implementation of Scalable Model of Data Preprocessing Function of Optical Imaging Remote Sensing Satellite

针对光学成像遥感卫星数据预处理功能难以扩展的问题,提出了一种适用于多颗光学成像遥感卫星的数据预处理功能扩展模型。该模型对数据预处理中的各项业务流程实现模型化,建立了各个模块子模型,并确立子模型配置文件的标准,使得功能扩展模型只需添加新卫星在各个子模型中的配置文件,就能添加模型对该卫星的数据预处理功能。实验结果表明,文章提出的模型具有良好的可扩展性,在不改变程序代码的情况下,通过配置不同卫星的配置文件,实现了对高分一号、高分二号、高分四号、高分五号和高分六号共5颗光学成像卫星的数据预处理功能。

This paper proposes a scalable model of data preprocessing function for optical imaging remote sensing satellites.The model models the business processes of data preprocessing and establishes the standards of configuration files of each sub model,so that the function expansion model can add the data preprocessing function of the model to the satellite only by adding the configuration files of new satellite in each sub model.The experimental results show that the model in this paper has good scalability.Under the condition of setting the configuration files of specific satellites,the data preprocessing function of the model program for Gaofen-1,Gaofen-2,Gaofen-4,Gaofen-5 and Gaofen-6 satellites is realized.