Research on mass remote sensing image storage and rapid browse based on RasterCatalog
SUI Xinxin1, WANG Yanzuo1, JIN Peidong1, WEI Yingjuan1, WANG Wenkai2, MA Junhuan2
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Bejing 100083, China; 2. Beijing JW Digital Source IT Co. Ltd., Beijing 100043, China
Abstract：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 of 50% and method of quadratic interpolation, storing data with slices of 64×64, and creating GDB RasterCatalog Layer, which satisfies the need of industry-specific applications.
随欣欣, 王彦佐, 晋佩东, 魏英娟, 王文凯, 马骏欢. 基于RasterCatalog的海量遥感数据存储及快速浏览技术研究[J]. 国土资源遥感, 2017, 29(4): 214-218.
SUI Xinxin, WANG Yanzuo, JIN Peidong, WEI Yingjuan, WANG Wenkai, MA Junhuan. Research on mass remote sensing image storage and rapid browse based on RasterCatalog. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 214-218.
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2017, Vol. 29 
