Identification of Surface Deformation in InSAR Using Machine Learning

Identification of Surface Deformation in InSAR Using Machine Learning

Abstract The availability and frequency of synthetic aperture radar (SAR) imagery are rapidly increasing. This surge of data presents new opportunities to constrain surface deformation that spans various spatial and temporal scales. This expansion also introduces common challenges associated with la...

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Bibliographic Details
Main Authors: Clayton M. J. Brengman, William D. Barnhart
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:Geochemistry, Geophysics, Geosystems
Subjects:
convolutional neural networks
InSAR
machine learning
operational analysis
surface deformation
transfer learning
Online Access:https://doi.org/10.1029/2020GC009204

Internet

https://doi.org/10.1029/2020GC009204

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