9 citations · 48 across the 20 of their papers we have counts for
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math.AP2020
Unique recovery of electrical conductivity and magnetic permeability from Magneto-Telluric data
Yernat M. Assylbekov, Maarten V. de Hoop
We present a comprehensive mathematical study of the Magneto-Telluric (MT) method, on bounded domain in . We show that electrical conductivity and magnetic permeabili…
eess.IV2020★ 1 cited
Learning the geometry of wave-based imaging
Konik Kothari, Maarten de Hoop, Ivan Dokmanić
We propose a general physics-based deep learning architecture for wave-based imaging problems. A key difficulty in imaging problems with a varying background wave speed is that the…
physics.geo-ph2020★ 8 cited
Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining data from passive and active sources
Florian Faucher, Maarten V. de Hoop, Otmar Scherzer
Quantitative imaging of sub-surface Earth's properties in elastic media is performed from Distributed Acoustic Sensing data. A new misfit functional based upon the reciprocity-gap…