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Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels

The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolutio...

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Detalles Bibliográficos
Autores principales: Li, Haiyan, He, Yijun, Wang, Wenguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280856/
https://www.ncbi.nlm.nih.gov/pubmed/22399964
http://dx.doi.org/10.3390/s90201221
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author Li, Haiyan
He, Yijun
Wang, Wenguang
author_facet Li, Haiyan
He, Yijun
Wang, Wenguang
author_sort Li, Haiyan
collection PubMed
description The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships' signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method.
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spelling pubmed-32808562012-03-07 Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels Li, Haiyan He, Yijun Wang, Wenguang Sensors (Basel) Article The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships' signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method. Molecular Diversity Preservation International (MDPI) 2009-02-25 /pmc/articles/PMC3280856/ /pubmed/22399964 http://dx.doi.org/10.3390/s90201221 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Li, Haiyan
He, Yijun
Wang, Wenguang
Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
title Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
title_full Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
title_fullStr Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
title_full_unstemmed Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
title_short Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels
title_sort improving ship detection with polarimetric sar based on convolution between co-polarization channels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280856/
https://www.ncbi.nlm.nih.gov/pubmed/22399964
http://dx.doi.org/10.3390/s90201221
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AT wangwenguang improvingshipdetectionwithpolarimetricsarbasedonconvolutionbetweencopolarizationchannels