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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 214-218     DOI: 10.6046/gtzyyg.2017.04.32
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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
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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.
Keywords ZY-3 satellite(ZY-3)      geological hazards      survey and evaluation      Baoji     
:  TP79  
Issue Date: 04 December 2017
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LI Jianqiang
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LI Jianqiang,HAN Haihui,GAO Ting, et al. Research on mass remote sensing image storage and rapid browse based on RasterCatalog[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 214-218.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.32     OR     https://www.gtzyyg.com/EN/Y2017/V29/I4/214
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