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

Zhuoyi Zhao; Zherong Wu; Yi Zheng; Peifeng Ma

doi:10.1016/j.isprsjprs.2021.08.009

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

Zhuoyi Zhao Zherong Wu Yi Zheng Peifeng Ma

Year: 2021 Journal: ISPRS Journal of Photogrammetry and Remote Sensing Vol: 180 Pages: 227-237 Publisher: Elsevier BV

DOI: 10.1016/j.isprsjprs.2021.08.009

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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

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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

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

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Citation History

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