Real-time Observational Water Level Data Stream Online Filtering Method with Hydrological Changes Semantic Constraints

Real-time Observational Water Level Data Stream Online Filtering Method with Hydrological Changes Semantic Constraints

Irregular environmental changes and occasional instrument malfunctions have made noises and exceptions in observational data prominence. Therefore, before processing real-time water level data online, data cleaning is urgently needed to ensure data quality. Since traditional data filtering methods d...

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Bibliographic Details
Main Authors: DING Yulin, ZHU Qing, HE Xiaobo, LIN Hui, DU Zhiqiang, ZHANG Yeting, MIAO Shuangxi, YANG Xiaoxia
Format: Article
Language:zho
Published: Surveying and Mapping Press 2015-12-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
real-time observational water level data stream
change semantic constraint
Kalman filtering
Online Access:http://html.rhhz.net/CHXB/html/2015-12-1351.htm

Internet

http://html.rhhz.net/CHXB/html/2015-12-1351.htm

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