基于云架构与智能技术的多源遥感数据一体化服务平台研发

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中图分类号：P237

文献标识码：A 文章编号：1672-3791（2026）04-0021-04

Development of an Integrated Multi-Source Remote Sensing Data ServicePlatform Based on Cloud Architecture and IntelligentTechnologies

XIAO Huizhen

Xiamen KINGTOP Technology Co.，Ltd.，Xiamen，Fujian Province，361oo8 China

Abstract： A new generation ofremote sensing inteligent service platform has been developed to met the processing and application needs of masive remote sensing data.This platform deeply integrates cloud architecture，big data，distributedstorageandcomputing，andartificialintellgence technologies toconstructaneficientremotesensing data cloud management and procesing system.Through an innovative distributed task scheduling engine，it achieves dynamic scheduling andcollaborative optimization of computing，storage，network，and data resources， breaking through the performance bottlenecks of traditional remote sensing procesing.The platform establishes a lifecycle management system covering raw data，processdata，outcome data，and reference frameworks，supporting efcient storage and PB-level data seconds-level retrievaland distribution.A web-based online production system has been developed，enabling cloud based operations throughoutthe entire process of image processing，intelligent interpretation，and outcome sharing. Through multi scenario verification，the platform can significantly reduce the threshold for remote sensing applications，providereal-time and intellgent remote sensing data services for fields suchassmart citiesand ecological monitoring，and efectively promote thedigital transformationoftheaerospace in

formation industry.

Keywords： Cloud architecture; Bigdata; Artificial inteligence;Multi-source remote sensingdata; Dynamic schedul - ingand optimization

遥感技术作为空天信息获取的核心载体，在资源勘查、生态评估、城市空间规划等场景中发挥关键作用。（剩余3870字）