基于RasterCatalog的海量遥感数据存储及快速浏览技术研究

Research on mass remote sensing image storage and rapid browse based on RasterCatalog

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。

Since the GF-1 satellite was launched on April 26,2013,a large quantity of data have been obtained,and the data volumes have entered into the multi-terabyte range,and even continue to grow. For effective management,retrieval and display of high-resolution remote sensing images,the authors take the efficient data storage model and faster browsing into consideration. The related experiments show that the storage and fast browsing of mass data can be realized by constructing the image pyramid by method of JPEG compression quality of50% and method of quadratic interpolation,storing data with slices of 64 × 64,and creating GDB Raster Catalog Layer,which satisfies the need of industry-specific applications.