摘要
地理成像加速器(Geoimaging Accelerator,GXL)作为新一代分布式遥感数据处理平台,其快速高效灵活的处理模式在国产卫星数据处理中发挥着重要作用。该文基于GXL软件框架MVC(Model View Controller)模式展开分析,分别从模型端、视图端以及控制端探索二次开发模式,通过开发新型算法处理模块和分布式程序部署,进而增强卫星数据处理功能算法。以高分一号、高分二号、资源一号02C国产卫星数据处理为例进行实验验证,结果表明GXL二次开发功能不仅可以灵活扩展卫星数据处理流程,还可以有效提高国产卫星产品生产效率,更好地满足各行业对国产卫星产品的业务需求。
The GXL(GeoImaging Accelerator)is a new generation of distributed processing platform for remote sensing data.It is fast,efficient,and flexible and plays an important role in the processing of domestic satellite data.This study investigated the software development kit(SDK)of GXL from the aspects of view,controller,and model based on the MVC(Model View Controller)framework of GXL.Furthermore,it developed a new algorithm processing module and employed distributed program deployment to enhance the function and algorithms of satellite data processing.An experiment was carried out to process domestic satellite(GF-1,GF-2,and ZY1-02C)data.The experiment results show that the SDK of GXL allows for flexibly expanding the processes for satellite data processing and improving the productivity of domestic satellite products.Therefore,the SDK of GXL can better satisfy the demands of various industries.
作者
张伟
张涛
郑雄伟
齐建伟
王光辉
ZHANG Wei;ZHANG Tao;ZHENG Xiongwei;QI Jianwei;WANG Guanghui(Land Satellite Remote Sensing Application Center,MNR,Beijing 100048,China;China Geological Survey,Beijing 100037,China)
出处
《自然资源遥感》
CSCD
北大核心
2022年第2期176-183,共8页
Remote Sensing for Natural Resources
基金
国家重点研发计划课题“基于多源数据融合的敏感目标识别技术”(编号:2018YFC0825800)资助。
关键词
GXL二次开发
国产卫星
算法模块
处理流程
优化效率
GXL SDK
domestic satellite
algorithm module
processing flow
optimization efficiency
