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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Bibliographic Details

Published in:	ISPRS international journal of geo-information Vol. 5; no. 12; p. 236
Main Authors:	Dai, Wujiao, Liu, Ning, Santerre, Rock, Pan, Jiabao
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2016
Subjects:	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 Access:	Get full text
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