Statistical analysis of domestic satellites data based on time pyramids model

doi:10.6046/gtzyyg.2017.s1.29

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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.

Keywords LiDAR regional growing RANSAC building point clouds segmentation

Issue Date: 24 November 2017

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	LI Yunfan
	TAN Debao
	LIU Rui
	WU Jianwei

Cite this article:

LI Yunfan,TAN Debao,LIU Rui, et al. Statistical analysis of domestic satellites data based on time pyramids model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 171-174.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.s1.29 OR https://www.gtzyyg.com/EN/Y2017/V29/Is1/171

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