Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866918499106947072 |
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| author | Afkham, Babak Maboudi Carpio, Ana |
| author_facet | Afkham, Babak Maboudi Carpio, Ana |
| contents | This paper introduces an infinite-dimensional Bayesian framework for acoustic seabed tomography, leveraging wave scattering to simultaneously estimate the seabed and its roughness. Tomography is considered an ill-posed problem where multiple seabed configurations can result in similar measurement patterns. We propose a novel approach focusing on the statistical isotropy of the seabed. Utilizing fractional differentiability to identify seabed roughness, the paper presents a robust numerical algorithm to estimate the seabed and quantify uncertainties. Extensive numerical experiments validate the effectiveness of this method, offering a promising avenue for large-scale seabed exploration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_01099 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves Afkham, Babak Maboudi Carpio, Ana Applications Numerical Analysis This paper introduces an infinite-dimensional Bayesian framework for acoustic seabed tomography, leveraging wave scattering to simultaneously estimate the seabed and its roughness. Tomography is considered an ill-posed problem where multiple seabed configurations can result in similar measurement patterns. We propose a novel approach focusing on the statistical isotropy of the seabed. Utilizing fractional differentiability to identify seabed roughness, the paper presents a robust numerical algorithm to estimate the seabed and quantify uncertainties. Extensive numerical experiments validate the effectiveness of this method, offering a promising avenue for large-scale seabed exploration. |
| title | Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves |
| topic | Applications Numerical Analysis |
| url | https://arxiv.org/abs/2602.01099 |