Gotowe bibliografie tematyczne / One-Shot inversion method

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Gotowa bibliografia na temat „One-Shot inversion method”

Autor: Grafiati

Data publikacji: 10 sierpnia 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "One-Shot inversion method"

Zigunov, Fernando, and John Charonko. "One-Shot Omnidirectional Pressure Integration Through Matrix Inversion." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 21 (July 8, 2024): 1–14. http://dx.doi.org/10.55037/lxlaser.21st.41.

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In this work, we present a method to perform 2D and 3D omnidirectional pressure integration from velocity measurements with a single-iteration matrix inversion approach. This work builds upon our previous work, where the rotating parallel ray approach was extended to the limit of infinite rays by taking continuous projection integrals of the ray paths and recasting the problem as an iterative matrix inversion problem. This iterative matrix equation is now ``fast-forwarded'' to the ``infinity'' iteration, leading to a different matrix equation that can be solved in a single iteration, thereby p

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Weglein, Arthur B. "A direct inverse method for subsurface properties: The conceptual and practical benefit and added value in comparison with all current indirect methods, for example, amplitude-variation-with-offset and full-waveform inversion." Interpretation 5, no. 3 (2017): SL89—SL107. http://dx.doi.org/10.1190/int-2016-0198.1.

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Direct inverse methods solve the problem of interest; in addition, they communicate whether the problem of interest is the problem that we (the seismic industry) need to be interested in. When a direct solution does not result in an improved drill success rate, we know that the problem we have chosen to solve is not the right problem — because the solution is direct and cannot be the issue. On the other hand, with an indirect method, if the result is not an improved drill success rate, then the issue can be either the chosen problem, or the particular choice within the plethora of indirect sol

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Yang, Rui, Honghong Yang, Li Zhao, et al. "One-Shot Reference-based Structure-Aware Image to Sketch Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 9 (2025): 9238–46. https://doi.org/10.1609/aaai.v39i9.33000.

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Generating sketches that accurately reflect the content of reference images presents numerous challenges. Current methods either require paired training data or fail to accommodate a wider range and diversity of sketch styles. While pre-trained diffusion models have shown strong text-based control capabilities for reference-based content sketch generation, state-of-the-art methods still struggle with reference-based sketch generation for given content. The main difficulties lie in (1) balancing content preservation with style enhancement, and (2) representing content image textures at varying

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Liu, Bin, Senlin Yang, Yuxiao Ren, Xinji Xu, Peng Jiang, and Yangkang Chen. "Deep-learning seismic full-waveform inversion for realistic structural models." GEOPHYSICS 86, no. 1 (2021): R31—R44. http://dx.doi.org/10.1190/geo2019-0435.1.

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Velocity model inversion is one of the most important tasks in seismic exploration. Full-waveform inversion (FWI) can obtain the highest resolution in traditional velocity inversion methods, but it heavily depends on initial models and is computationally expensive. In recent years, a large number of deep-learning (DL)-based velocity model inversion methods have been proposed. One critical component in those DL-based methods is a large training set containing different velocity models. We have developed a method to construct a realistic structural model for the DL network. Our compressional-wav

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Jones, Glyn M., and D. B. Jovanovich. "A ray inversion method for refraction analysis." GEOPHYSICS 50, no. 11 (1985): 1701–20. http://dx.doi.org/10.1190/1.1441861.

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A new technique is presented for the inversion of head‐wave traveltimes to infer near‐surface structure. Traveltimes computed along intersecting pairs of refracted rays are used to reconstruct the shape of the first refracting horizon beneath the surface and variations in refractor velocity along this boundary. The information derived can be used as the basis for further processing, such as the calculation of near‐surface static delays. One advantage of the method is that the shape of the refractor is determined independently of the refractor velocity. With multifold coverage, rapid lateral ch

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Zhang, Yu, Guanquan Zhang, and Norman Bleistein. "Theory of true-amplitude one-way wave equations and true-amplitude common-shot migration." GEOPHYSICS 70, no. 4 (2005): E1—E10. http://dx.doi.org/10.1190/1.1988182.

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One-way wave operators are powerful tools for forward modeling and migration. Here, we describe a recently developed true-amplitude implementation of modified one-way operators and present some numerical examples. By “true-amplitude” one-way forward modeling we mean that the solutions are dynamically correct as well as kinematically correct. That is, ray theory applied to these equations yields the upward- and downward-traveling eikonal equations of the full wave equation, and the amplitude satisfies the transport equation of the full wave equation. The solutions of these equations are used in

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Zheng, Qiqi, Meng Li, and Bangyu Wu. "Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source." Journal of Marine Science and Engineering 13, no. 6 (2025): 1193. https://doi.org/10.3390/jmse13061193.

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Full waveform inversion (FWI) is an established precise velocity estimation tool for seismic exploration. Machine learning-based FWI could plausibly circumvent the long-standing cycle-skipping problem of traditional model-driven methods. The physics-guided self-supervised FWI is appealing in that it avoids having to make tedious efforts in terms of label generation for supervised methods. One way is to employ an inversion network to convert the seismic shot gathers into a velocity model. The objective function is to minimize the difference between the recorded seismic data and the synthetic da

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Zhang, Yu, Sheng Xu, Norman Bleistein, and Guanquan Zhang. "True-amplitude, angle-domain, common-image gathers from one-way wave-equation migrations." GEOPHYSICS 72, no. 1 (2007): S49—S58. http://dx.doi.org/10.1190/1.2399371.

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True-amplitude wave-equation migration provides a quality migrated image of the earth’s interior. In addition, the amplitude of the output provides an estimate of the angular-dependent reflection coefficient, similar to the output of Kirchhoff inversion. Recently, true-amplitude wave-equation migration for common-shot data has been proposed to generate amplitude-reliable, shot-domain, common-image gathers in heterogeneous media. We present a method to directly produce angle-domain common-image gathers from both common-shot and shot-receiver wave-equation migration. Generating true-amplitude, s

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Dong, Wenjie, Mark Jeffrey Emanuel, Phillip Bording, and Norman Bleistein. "A computer implementation of 2.5-D common‐shot inversion." GEOPHYSICS 56, no. 9 (1991): 1384–94. http://dx.doi.org/10.1190/1.1443158.

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The computer implementation of a two‐and‐one‐half dimensional (2.5-D) constant density prestack inversion formalism with laterally and depth‐dependent background propagation speed is a Kirchhoff‐type inversion, summing data from a line of receivers over traveltime curves in the depth‐dependent background medium with weights determined from Born/Kirchhoff inversion theory. This theory predicts that the output will be a reflector map with peak amplitudes on each reflector being in known proportion to the angularly dependent geometrical optics reflection coefficient. The 2.5-D feature provides fo

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Vigh, Denes, and E. William Starr. "3D prestack plane-wave, full-waveform inversion." GEOPHYSICS 73, no. 5 (2008): VE135—VE144. http://dx.doi.org/10.1190/1.2952623.

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Prestack depth migration has been used for decades to derive velocity distributions in depth. Numerous tools and methodologies have been developed to reach this goal. Exploration in geologically more complex areas exceeds the abilities of existing methods. New data-acquisition and data-processing methods are required to answer these new challenges effectively. The recently introduced wide-azimuth data acquisition method offers better illumination and noise attenuation as well as an opportunity to more accurately determine velocities for imaging. One of the most advanced tools for depth imaging

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Rozprawy doktorskie na temat "One-Shot inversion method"

Vu, Tuan-Anh. "One-shot inversion methods and domain decomposition." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAE009.

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Notre objectif principal est d’analyser la convergence d’une méthode d’optimisation basée sur le gradient, pour résoudre des problèmes inverses d’identification de paramètres, dans laquelle les problèmes directs et adjoints correspondants sont résolus par un solveur itératif. Le couplage des itérations pour les trois inconnues (le paramètre du problème inverse, la solution du problème direct et la solution du problème adjoint) donne ce que l’on appelle les méthodes d’inversion de type one-shot. De nombreux tests numériques ont montré que l’utilisation de très peu d’itérations internes pour les

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Streszczenia konferencji na temat "One-Shot inversion method"

Kane, Daniel J., and Rick Trebino. "Single-Shot Measurement of the Intensity and Phase of a Femtosecond Pulse Using the Optical-Kerr Effect." In Nonlinear Optics. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/nlo.1992.mc6.

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We report and demonstrate the first technique for measuring the full, time-dependent intensity and phase, E(t), of an individual femtosecond pulse. This new technique, which we call “frequency-resolved optical gating” (FROG), uses the polarization-spectroscopy optical-gate arrangement with an instantaneously responding χ(3) sample medium, such as glass. Here, however, the pulse is split and one version of the pulse gates the other (see Figs. 1 and 2). We then measure the signal spectrum as a function of the delay between the two input pulses. Because the signal pulse is shorter than the input

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