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作 者:王源 吕扬 李兵[1,2] 肖潇 闫宁 WANG Yuan;LYU Yang;LI Bing;XIAO Xiao;YAN Ning(Beijing Institute of Surveying and Mapping,Beijing 100038,China;Beijing Key Laboratory of Urban Spatial Information Engineering,Beijing 100038,China)
机构地区:[1]北京市测绘设计研究院,北京100038 [2]城市空间信息工程北京市重点实验室,北京100038
出 处:《北京测绘》2023年第2期302-306,共5页Beijing Surveying and Mapping
基 金:北京市科技计划项目(Z191100002419010)。
摘 要:随着地理信息提取、自然资源监测、城市管理等领域对遥感影像应用日益增多,如何对海量遥感数据进行高效管理及信息提取显得尤为重要。针对单机作业模式存在本地数据存储冗余、作业管理混乱等问题,设计并搭建了网络协同作业遥感智能解译协同作业平台,嵌入遥感解译项目生产组织流程,实现了遥感数据在线共享应用。成果可有效支撑当前基于遥感变化监测应用的信息化工程项目,提升作业效率,优化生产组织。With the increasing number of remote sensing image application projects in the fields of geographic information extraction,natural resourcemonitoring and urban management,how to efficiently manage and apply massive remote sensing data has become an urgent problem to be studied.In order to improve operation efficiency,solve problems such as local data storage redundancy and job management chaos in single machine operation mode,a remote sensing interpretation network-based cooperative operation platform was designed and developed,and the production organization process was incorporated.The platform could effectively support the current engineering projects based on remote sensing change monitoring applications.
分 类 号:P237[天文地球—摄影测量与遥感]
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