A New Multi-Scale Sliding Window LSTM Framework (MSSW-LSTM): A Case Study for GNSS Time-Series Prediction

A New Multi-Scale Sliding Window LSTM Framework (MSSW-LSTM): A Case Study for GNSS Time-Series Prediction

GNSS time-series prediction plays an important role in the monitoring of crustal plate movement, and dam or bridge deformation, and the maintenance of global or regional coordinate frames. Deep learning is a state-of-the-art approach for extracting high-level abstract features from big data without...

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Bibliographic Details
Main Authors: Jian Wang, Weiping Jiang, Zhao Li, Yang Lu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
deep learning
long short-term memory
multi-scale sliding window
GNSS
time series
prediction
Online Access:https://www.mdpi.com/2072-4292/13/16/3328

Internet

https://www.mdpi.com/2072-4292/13/16/3328

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