基于RasterCatalog的海量遥感数据存储及快速浏览技术研究

发布时间：2018-03-14 01:03

本文选题：高分数据　切入点：RasterCatalog　出处：《国土资源遥感》2017年04期 　论文类型：期刊论文

【摘要】：高分一号卫星自2013年4月26日发射至今,已获取了大量的数据,数据量已达到了TB级,而且还在持续增长。基于高分数据的有效管理、检索和展示的需求,对海量数据存储模型和影响图像浏览速度的因素进行分析。通过实验验证,采用压缩质量为50%的JPEG压缩和双线性插值法构建影像金字塔,以64×64切片大小进行数据存储,并通过构建GDB Raster Catalog Layer,能够实现海量遥感数据的存储与快速浏览展示,满足高分系列卫星在行业应用中数据管理与显示需求。
[Abstract]:Since its launch in April 26th 2013, the Gaofone satellite has acquired a large amount of data, which has reached the TB level and is still growing. Based on the demand for effective management, retrieval and display of high score data, The storage model of mass data and the factors affecting the speed of image browsing are analyzed. The experimental results show that the image pyramid is constructed by JPEG compression and bilinear interpolation with compression quality of 50%, and the size of 64 脳 64 slices is used for data storage. Through the construction of GDB Raster Catalog layer, it can store and quickly browse and display the massive remote sensing data, and meet the demand of data management and display in the application of high score series satellites in the industry.
【作者单位】：中国国土资源航空物探遥感中心;北京吉威数源信息技术有限公司;
【基金】：中国国土资源航空物探遥感中心项目“高分基础数据支撑分系统建设”(编号:201330106)和“资源一号02C卫星应用系统(地矿)影像产品数据整合建库及管理”(编号:201530605)共同资助
【分类号】：TP79

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