Latest views of the sparse Radon transform

By Daniel Trad, T. Ulrych, Mauricio D. Sacchi. 2003

378 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Geophysics

View Paper: https://www.semanticscholar.org/paper/ac32855c80090d032ded27a0a7675fd4866d24c8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Computational Mechanics

In Geophysics

Citations in the corpus

Radon transform-based microseismic event detection and signal-to-noise ratio enhancement (2015, methodology): “We could, for instance, have adopted the high resolution Radon transform (Thorson and Claerbout, 1985; Sacchi and Ulrych, 1995; Trad et al., 2003) that assumes that parabolic events can bemodeled via a small number of coefficients in the Radon panel.”
Deep learning for denoising (2018, background): “…have been proposed based on two properties of multiples (Berkhout and Verschuur, 2006): the moveout differences between multiples and primaries (Hampson, 1986; Herrmann et al., 2000; Trad et al., 2003), and the predictability of multiples (Robinson, 1957; Verschuur, 1992; Berkhout, 2012).”
Shaping regularization in geophysical-estimation problems (2007, methodology): “Developed originally by Tikhonov 1963 and others, the method of regularization has become an indispensable part of the inverse-problem theory and has found many applications in geophysical problems: traveltime tomography Bube and Langan, 1999; Clapp et al., 2004, migration velocity analysis Woodward”
Non-parametric seismic data recovery with curvelet frames (2008, methodology): “In that respect our method diers from interpolation methods based on pattern recognition (Spitz, 1999), plane-wave destruction (Fomel et al., 2002) and data mapping (Bleistein et al., 2001), including parabolic, apex-shifted Radon and DMO-NMO/AMO (Trad, 2003; Trad et al., 2003; Harlan et al., 1984”
Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach (2010, methodology): “Transform-based methods (Thorson and Claerbout, 1985; Hampson, 1986; Sacchi et al., 1998; Schonewille, 2000; Trad et al., 2003; Zwartjes, 2005; Herrmann and Hennenfent, 2008) do not capitalize on any particular geophysical model and may relate to the physics of wave propagation depending on the…”
Simply denoise: Wavefield reconstruction via jittered undersampling (2008, methodology): “For the reconstruction of wavefields in the Fourier (Sacchi et al., 1998; Xu et al., 2005; Zwartjes and Sacchi, 2007), Radon (Trad et al., 2003), and curvelet (Hennenfent and Herrmann, 2005; Herrmann and Hennenfent, 2007) domains, sparsity promotion is a well-established technique documented in the…”