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作 者:赵海鹏 ZHAO Haipeng(Tianjin Institute of Surveying and Mapping Co.,Ltd.,Tianjin 300381,China)
出 处:《测绘与空间地理信息》2024年第9期120-123,共4页Geomatics & Spatial Information Technology
摘 要:针对多源、多时相、多分辨率遥感影像的数据存储形式单一、管理和应用手段比较落后等问题,设计了一套基于MongoDB GridFS的海量遥感影像管理发布服务平台,使用GDAL对遥感影像进行数据处理和自动化混合切片、MongoDB存储影像切片数据和影像元数据、Mongo GridFS存储原始影像、HTTP文件服务器托管COG,构建了以原始影像-元数据-切片-COG为组织结构的遥感影像管理发布服务平台的数据基底,实现了遥感影像在线查询和预览、数据入库和分发等服务,为遥感影像在自然资源监测、生态环境保护、国土空间规划等领域的应用提供了有力支持。Aiming at the problems of multi-source,multi-temporal and multi-resolution remote sensing images,such as single data storage method,relatively backward management and application means,this paper designs a massive remote sensing image management and publishing service platform based on MongoDB GridFS.The platform uses GDAL for data processing and automated hybrid slicing of remote sensing images,MongoDB to store image slice data and image metadata,Mongo GridFS to store original imagery,and HTTP file servers to host COG(Cloud optimized GeoTIFF).The platform takes the original image-metadata-tile-COG as the organization structure of the data base of the remote sensing image management and publishing service platform,which realizes services such as the online query,preview,data storage,and distribution of remote sensing images.The platform provides strong support for the application of remote sensing images in the fields of natural resource monitoring,ecological environment protection,and land spatial planning.
关 键 词:遥感影像管理 影像服务 COG MongoDB GridFS
分 类 号:P237[天文地球—摄影测量与遥感]
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