An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation
Abstract 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...
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Nature Portfolio
2020
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oai:doaj.org-article:9266bb80ac534fd28b432b73b40c0d312021-12-02T16:06:39ZAn efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation10.1038/s41598-020-69400-52045-2322https://doaj.org/article/9266bb80ac534fd28b432b73b40c0d312020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-69400-5https://doaj.org/toc/2045-2322Abstract 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 m2/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.Katsunori MizunoKei TerayamaSeiichiro HaginoShigeru TabetaShingo SakamotoToshihiro OgawaKenichi SugimotoHironobu FukamiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Katsunori Mizuno Kei Terayama Seiichiro Hagino Shigeru Tabeta Shingo Sakamoto Toshihiro Ogawa Kenichi Sugimoto Hironobu Fukami An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation |
| description |
Abstract 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 m2/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 |
article |
| author |
Katsunori Mizuno Kei Terayama Seiichiro Hagino Shigeru Tabeta Shingo Sakamoto Toshihiro Ogawa Kenichi Sugimoto Hironobu Fukami |
| author_facet |
Katsunori Mizuno Kei Terayama Seiichiro Hagino Shigeru Tabeta Shingo Sakamoto Toshihiro Ogawa Kenichi Sugimoto Hironobu Fukami |
| author_sort |
Katsunori Mizuno |
| 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_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_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_sort |
efficient coral survey method based on a large-scale 3-d structure model obtained by speedy sea scanner and u-net segmentation |
| publisher |
Nature Portfolio |
| publishDate |
2020 |
| url |
https://doaj.org/article/9266bb80ac534fd28b432b73b40c0d31 |
| work_keys_str_mv |
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