JOURNAL ARTICLE

Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values

Zhuoyi ZhaoZherong WuYi ZhengPeifeng Ma

Year: 2021 Journal:   ISPRS Journal of Photogrammetry and Remote Sensing Vol: 180 Pages: 227-237   Publisher: Elsevier BV
Keywords:
Interferometric synthetic aperture radar Computer science Recurrent neural network Noise (video) Series (stratigraphy) Noise reduction Time series Missing data Artificial intelligence Gaussian noise Algorithm Artificial neural network Pattern recognition (psychology) Machine learning Synthetic aperture radar Geology

Metrics

44
Cited By
10.45
FWCI (Field Weighted Citation Impact)
57
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Synthetic Aperture Radar (SAR) Applications and Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Cryospheric studies and observations
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Landslides and related hazards
Physical Sciences →  Environmental Science →  Management, Monitoring, Policy and Law
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