Abstract：The process of statistical analysis and spatial coverage of massive resource satellites data is very time-consuming work. Large amounts of computation often leads to the result that statistical analysis cannot be quickly generated. This paper proposes the construction of “pyramid model” approach to solve this problem. The remote sensing image data are archived at four levels, i.e., daily, weekly, monthly and yearly level for statistical analysis. This model achieved good results in the practical application. Practice shows that exchange space (with a little redundant data) for time (high efficiency) in the way of statistics of resource satellite data analysis is very practical and feasible.
冯磊, 周伟, 王彦佐, 刘若溪. 基于时间金字塔模型的国产资源卫星数据统计分析[J]. 国土资源遥感, 2017, 29(s1): 171-174.
FENG Lei, ZHOU Wei, WANG Yanzuo, LIU Ruoxi. Statistical analysis of domestic satellites data based on time pyramids model. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 171-174.
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2017, Vol. 29 
