Development of an Efficient Coral-Coverage Estimation Method Using a Towed Optical Camera Array System [Speedy Sea Scanner (SSS)] and Deep-Learning-Based Segmentation: A Sea Trial at the Kujuku-Shima Islands
Development of an Efficient Coral-Coverage Estimation Method Using a Towed Optical Camera Array System [Speedy Sea Scanner (SSS)] and Deep-Learning-Based Segmentation: A Sea Trial at the Kujuku-Shima Islands
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使用拖曳光学相机阵列系统 [快速海洋扫描仪 (SSS)] 和基于深度学习的分割开发有效的珊瑚覆盖率估计方法：在九十九岛的海上试验
DOI：
10.1109/joe.2019.2938717
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发表时间：
2020
影响因子：
4.1
通讯作者：
Akihiro Kawakubo
中科院分区：
文献类型：
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作者：
K. Mizuno;Kei Terayama;S. Tabeta;Shingo Sakamoto;Yoshino Matsumoto;Yusuke Sugimoto;Toshihiro Ogawa;Kenichi Sugimoto;H. Fukami;M. Sakagami;M. Deki;Akihiro Kawakubo
已经制定并使用了各种方法来监测海洋底栖生境，如珊瑚礁和海草草甸。然而，一般调查方法的效率[例如，线截取断面和自主水下航行器（AUV）]仍然不高。在这篇文章中，我们提出了一种实用的珊瑚覆盖率估计方法，结合了有效的调查系统[快速海洋扫描仪（SSS）]和基于深度学习的估计方法。SSS是一个拖曳式系统，在平台上排列着六个摄像机。在我们的试验中，该系统的深度额定值为50米。阵列基线长度为4.4 m，平台上等间距放置六台摄像机。海上试验于2017年9月30日在日本Kujuku-Shima进行。我们成功地生成了三维模型和高质量的正射影像的海底约1.5毫米/像素的高分辨率。SSS的测量效率约为7000 m2/h。此外，珊瑚覆盖度估算实验结果表明，在透明度较高的海域，珊瑚覆盖度估算的准确率可达80%，覆盖度估算误差小于10%，该方法比其他测量技术效率高，成本低于AUV测量;因此，它有望成为海洋环境调查的一个有前途的工具。
Various methods have been developed and used for monitoring marine benthic habitats, such as coral reefs and seagrass meadows. However, the efficiency of general survey methods [e.g., line intercept transects and autonomous underwater vehicles (AUVs)] still is not high. In this article, we propose a practical coral-coverage estimation method combining an effective survey system [Speedy Sea Scanner (SSS)] and a deep-learning-based estimation method. The SSS is a towed-type system with six cameras arrayed on the platform. The depth rating of the system in our trial was 50 m. The length of the array baseline was 4.4 m, and six cameras were placed on the platform with equal spacing. The sea trial was conducted at Kujuku-Shima, Japan, on September 30, 2017. We successfully generated 3-D models and high-quality orthophotos of the seafloor with high resolution of about 1.5 mm/pixel. The survey efficiency of the SSS was about 7000 m2/h. In addition, the experimental results of coral-coverage estimation showed that the corals can be distinguished with accuracy of about 80% in places with relatively high transparency, and the error of coverage estimation was 10% or less. The proposed coral-coverage estimation method is more efficient than other survey techniques and costs less than AUV surveying; therefore, it is expected to become a promising tool for marine environmental surveying.
影响因子：
3.5
作者：
Casella, Elisa;Collin, Antoine;Rovere, Alessio
通讯作者：
Rovere, Alessio