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SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM

The facet-based two scale model (FTSM) is widely applied in SAR image simulations of the anisotropic ocean surface. However, this model is sensitive to the cutoff parameter and facet size, and the choice of these two parameters is arbitrary. We propose to make an approximation of the cutoff invarian...

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Detalles Bibliográficos
Autores principales: Wang, Tong, Li, Ximin, Wang, Yijin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007309/
https://www.ncbi.nlm.nih.gov/pubmed/36904770
http://dx.doi.org/10.3390/s23052564
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author Wang, Tong
Li, Ximin
Wang, Yijin
author_facet Wang, Tong
Li, Ximin
Wang, Yijin
author_sort Wang, Tong
collection PubMed
description The facet-based two scale model (FTSM) is widely applied in SAR image simulations of the anisotropic ocean surface. However, this model is sensitive to the cutoff parameter and facet size, and the choice of these two parameters is arbitrary. We propose to make an approximation of the cutoff invariant two scale model (CITSM) to improve the simulation efficiency while remaining the robustness to cutoff wavenumbers. Meanwhile, the robustness to facet sizes is obtained by correcting the geometrical optics (GO) solution, taking into account the slope probability density function (PDF) correction induced by the spectrum within an individual facet. The new FTSM, with less dependence on cutoff parameters and facet sizes, is proved to be reasonable in the comparisons with advanced analytical models and experimental data. Finally, SAR images of the ocean surface and ship wakes with various facet sizes are provided to prove the operability and applicability of our model.
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spelling pubmed-100073092023-03-12 SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM Wang, Tong Li, Ximin Wang, Yijin Sensors (Basel) Article The facet-based two scale model (FTSM) is widely applied in SAR image simulations of the anisotropic ocean surface. However, this model is sensitive to the cutoff parameter and facet size, and the choice of these two parameters is arbitrary. We propose to make an approximation of the cutoff invariant two scale model (CITSM) to improve the simulation efficiency while remaining the robustness to cutoff wavenumbers. Meanwhile, the robustness to facet sizes is obtained by correcting the geometrical optics (GO) solution, taking into account the slope probability density function (PDF) correction induced by the spectrum within an individual facet. The new FTSM, with less dependence on cutoff parameters and facet sizes, is proved to be reasonable in the comparisons with advanced analytical models and experimental data. Finally, SAR images of the ocean surface and ship wakes with various facet sizes are provided to prove the operability and applicability of our model. MDPI 2023-02-25 /pmc/articles/PMC10007309/ /pubmed/36904770 http://dx.doi.org/10.3390/s23052564 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Tong
Li, Ximin
Wang, Yijin
SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM
title SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM
title_full SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM
title_fullStr SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM
title_full_unstemmed SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM
title_short SAR Image Simulations of Ocean Scenes Based on the Improved Facet TSM
title_sort sar image simulations of ocean scenes based on the improved facet tsm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007309/
https://www.ncbi.nlm.nih.gov/pubmed/36904770
http://dx.doi.org/10.3390/s23052564
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