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1909.02321
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The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries
Geophysical Research Letters (GRL), 2019
5 September 2019
Qirui Yang
Juliet Biggs
F. Albino
D. Bull
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Papers citing
"The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries"
3 / 3 papers shown
Hephaestus: A large scale multitask dataset towards InSAR understanding
Nikolaos Ioannis Bountos
Ioannis Papoutsis
Dimitrios Michail
Andreas Karavias
P. Elias
I. Parcharidis
168
17
0
20 Apr 2022
Deep Learning Meets SAR
Xiaoxiang Zhu
S. Montazeri
Mohsin Ali
Yuansheng Hua
Yuanyuan Wang
Lichao Mou
Yilei Shi
Feng Xu
R. Bamler
217
268
0
17 Jun 2020
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data
Qirui Yang
Juliet Biggs
K. Kelevitz
Z. Sadeghi
T. Wright
James Thompson
A. Achim
David Bull
104
3
0
07 May 2020
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