The image-source method: a tool for geoacoustic inversion
Autor: | Samuel Pinson, Charles W. Holland, Laurent Guillon |
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Přispěvatelé: | École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Département STIC [Brest] (STIC), Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Pennsylvania State University (Penn State), Penn State System |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
010504 meteorology & atmospheric sciences
Array processing [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Reflection 010502 geochemistry & geophysics Seismic 01 natural sciences Image (mathematics) Geophysics Simulated data Broadband Reflection (physics) Tomography Geoacoustic inversion Representation (mathematics) Geology 0105 earth and related environmental sciences Remote sensing |
Zdroj: | Near Surface Geophysics Near Surface Geophysics, European Association of Geoscientists and Engineers (EAGE), 2020, 18 (1), pp.39-48. ⟨10.1002/nsg.12078⟩ |
ISSN: | 1569-4445 1873-0604 |
DOI: | 10.1002/nsg.12078⟩ |
Popis: | International audience; The image source method is a fast tool to perform sound-speed profile estimations for sediment tomography. It uses a broadband source and an array of receivers and is based on the representation of the reflected wave from sediment interfaces by image sources and on array processing techniques. Image sources are automatically detected by the array and the sound-speed profile is deduced directly from their locations. Thus, the method has a low computational cost and can be applied to large data sets. The image source method has been under development during the last decade and has proven its efficiency on simulated data and at-sea experiment data. The objective of this paper is to review these advances of the image source method. |
Databáze: | OpenAIRE |
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