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作 者:李成 LI Cheng(Suzhou Zhongke Tianqi Remote Sensing Technology Co.,Ltd,Suzhou 215163,China)
机构地区:[1]苏州中科天启遥感科技有限公司,江苏苏州215163
出 处:《长江信息通信》2024年第8期100-102,共3页Changjiang Information & Communications
摘 要:经过五十多年的发展,卫星遥感技术取得了巨大进步。随着遥感数据获取能力的提高,遥感数据已形成多源多样化和海量化,然而可视化技术的发展研究却相对缓慢一步,导致遥感数据在可视化应用的效率和性能上都相对滞后。传统采用基于预生成瓦片的地图服务中存在诸多的短板,难以满足大规模复杂时空数据在展示、图层属性配置和空间分析计算等专业应用需求。通过定义遥感大数据动态并行可视化的框架,采用实时渲染图像交互可视化流程,研究时空底座大数据动态并行可视化模型和用户可视化视图模型,提出了一套面向大规模复杂时空数据可视化的解决方案。After more than fifty years of development,satellite remote sensing technology has made tremendous progress.With the improvement of remote sensing data acquisition capabilities,remote sensing data has become diversificd and massive from multiple sources.However,the development and rescarch of visualization technology has bccn relatively slow,resulting in a relative lag in the efficiency and performance of remote sensing data in visualization applications.There are many shortcomings in traditional map services based on pre generated tiles,which are difficult to meet the professional application needs of large-scale complex spatiotemporal data in display,layer attribute configuration,and spatial analysis and calculation.By defining a framework for dynamic parallel visualization of remote sensing big data,adopting realtime rendering image interactive visualization process,we study the spatiotemporal base big data dynamic parallel visualization model and user visualization view model,and propose a solution for large-scale and complex spatiotemporal data visualization.
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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