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20182022
most citedA deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets

1 citations · 2 across the 3 of their papers we have counts for

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eess.IV2022

Sparse InSAR Data 3D Inpainting for Ground Deformation Detection Along the Rail Corridor

Odysseas Pappas, Juliet Biggs, David Bull +2

Monitoring of ground movement close to the rail corridor, such as that associated with landslips caused by ground subsidence and/or uplift, is of great interest for the detection a…

eess.IV2019

The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries

N. Anantrasirichai, J. Biggs, F. Albino +1

Automated systems for detecting deformation in satellite InSAR imagery could be used to develop a global monitoring system for volcanic and urban environments. Here we explore the…