Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter

Noise filtering, data predicting, and unmonitored data interpolating are important to dam deformation data analysis. However, traditional methods generally process single point monitoring data separately, without considering the spatial correlation between points. In this paper, the Space-Time Kalma...

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Veröffentlicht in:	ISPRS international journal of geo-information Jg. 5; H. 12; S. 236
Hauptverfasser:	Dai, Wujiao, Liu, Ning, Santerre, Rock, Pan, Jiabao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2016
Schlagworte:	Algorithms Covariance dam deformation Data analysis Deformation Kalman filters kriging Kriging interpolation Monitoring Noise Noise prediction prediction space and time Space-Time Kalman filter spatio-temporal interpolation and prediction
ISSN:	2220-9964, 2220-9964
Online-Zugang:	Volltext
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