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An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation
Over the last 3 decades, a large portion of coral cover has been lost around the globe. This significant decline necessitates a rapid assessment of coral reef health to enable more effective management. In this paper, we propose an efficient method for coral cover estimation and demonstrate its viab...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395762/ https://www.ncbi.nlm.nih.gov/pubmed/32737334 http://dx.doi.org/10.1038/s41598-020-69400-5 |
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author | Mizuno, Katsunori Terayama, Kei Hagino, Seiichiro Tabeta, Shigeru Sakamoto, Shingo Ogawa, Toshihiro Sugimoto, Kenichi Fukami, Hironobu |
author_facet | Mizuno, Katsunori Terayama, Kei Hagino, Seiichiro Tabeta, Shigeru Sakamoto, Shingo Ogawa, Toshihiro Sugimoto, Kenichi Fukami, Hironobu |
author_sort | Mizuno, Katsunori |
collection | PubMed |
description | Over the last 3 decades, a large portion of coral cover has been lost around the globe. This significant decline necessitates a rapid assessment of coral reef health to enable more effective management. In this paper, we propose an efficient method for coral cover estimation and demonstrate its viability. A large-scale 3-D structure model, with resolutions in the x, y and z planes of 0.01 m, was successfully generated by means of a towed optical camera array system (Speedy Sea Scanner). The survey efficiency attained was 12,146 m(2)/h. In addition, we propose a segmentation method utilizing U-Net architecture and estimate coral coverage using a large-scale 2-D image. The U-Net-based segmentation method has shown higher accuracy than pixelwise CNN modeling. Moreover, the computational cost of a U-Net-based method is much lower than that of a pixelwise CNN-based one. We believe that an array of these survey tools can contribute to the rapid assessment of coral reefs. |
format | Online Article Text |
id | pubmed-7395762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73957622020-08-04 An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation Mizuno, Katsunori Terayama, Kei Hagino, Seiichiro Tabeta, Shigeru Sakamoto, Shingo Ogawa, Toshihiro Sugimoto, Kenichi Fukami, Hironobu Sci Rep Article Over the last 3 decades, a large portion of coral cover has been lost around the globe. This significant decline necessitates a rapid assessment of coral reef health to enable more effective management. In this paper, we propose an efficient method for coral cover estimation and demonstrate its viability. A large-scale 3-D structure model, with resolutions in the x, y and z planes of 0.01 m, was successfully generated by means of a towed optical camera array system (Speedy Sea Scanner). The survey efficiency attained was 12,146 m(2)/h. In addition, we propose a segmentation method utilizing U-Net architecture and estimate coral coverage using a large-scale 2-D image. The U-Net-based segmentation method has shown higher accuracy than pixelwise CNN modeling. Moreover, the computational cost of a U-Net-based method is much lower than that of a pixelwise CNN-based one. We believe that an array of these survey tools can contribute to the rapid assessment of coral reefs. Nature Publishing Group UK 2020-07-31 /pmc/articles/PMC7395762/ /pubmed/32737334 http://dx.doi.org/10.1038/s41598-020-69400-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mizuno, Katsunori Terayama, Kei Hagino, Seiichiro Tabeta, Shigeru Sakamoto, Shingo Ogawa, Toshihiro Sugimoto, Kenichi Fukami, Hironobu An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
title | An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
title_full | An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
title_fullStr | An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
title_full_unstemmed | An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
title_short | An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
title_sort | efficient coral survey method based on a large-scale 3-d structure model obtained by speedy sea scanner and u-net segmentation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395762/ https://www.ncbi.nlm.nih.gov/pubmed/32737334 http://dx.doi.org/10.1038/s41598-020-69400-5 |
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