Extended Principal Component Analysis for Spatiotemporal Filtering of Incomplete Heterogeneous GNSS Position Time Series
Author:
Affiliation:
1. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China
Funder
Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10129212.pdf?arnumber=10129212
Reference74 articles.
1. Accurate Estimation of Atmospheric Water Vapor Using GNSS Observations and Surface Meteorological Data
2. The Consideration of Formal Errors in Spatiotemporal Filtering Using Principal Component Analysis for Regional GNSS Position Time Series
3. GNSS-R Snow Depth Inversion Based on Variational Mode Decomposition With Multi-GNSS Constellations
4. Weighted spatiotemporal filtering using principal component analysis for analyzing regional GNSS position time series
5. GNSS-RS Tomography: Retrieval of Tropospheric Water Vapor Fields Using GNSS and RS Observations
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Extended Multiresolution Analysis for Filtering Incomplete Heterogeneous Geophysical Time Series;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Signal Subspace Identification for Incomplete Hyperspectral Image With Applications to Various Inverse Problems;IEEE Transactions on Geoscience and Remote Sensing;2024
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