The Application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Time Series
Author:
Affiliation:
1. Visual Information Laboratory University of Bristol Bristol UK
2. School of Earth Sciences University of Bristol Bristol UK
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019GL084993
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1. A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets
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4. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms
5. Global Volcano Monitoring: What Does It Mean When Volcanoes Deform?
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