The application of multi-sensor target tracking and fusion technology to the comprehensive early warning information extraction of landslide multi-point monitoring data

•Application of multi-sensor target tracking fusion technology.•Proposes a spatiotemporal registration method and Ensemble Kalman Filte.•The test simulation is carried out by selecting 30 monitoring data. Landslide disasters are the second largest geological disaster activity in addition to earthqua...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2020-12, Vol.166, p.1, Article 108044
Main Authors: Tan, Qulin, Wang, Pin, Hu, Jun, Zhou, Pinggen, Bai, Minzhou, Hu, Jiping
Format: Article
Language:English
Subjects:
Algorithms
Boundary conditions
Data integration
Disaster management
Economic impact
Error analysis
Information fusion
Information retrieval
Kalman filters
Landslide disaster
Landslides
Landslides & mudslides
Monitoring
Monitoring systems
Moving targets
Multi-sensor
Multisensor fusion
Optimization
Polynomials
Prediction models
Random noise
Remote detection
Sensors
Target tracking
Tracking
Tracking control systems
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