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Methods for quantitative studies of seafloor hydrothermal systems using 3D visual reconstructions

机译:使用3D视觉重建对海底热液系统进行定量研究的方法

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3D visual mapping of the seafloor has found applications ranging from environment monitoring and survey of marine minerals to underwater archaeology and inspection of modern artificial structures. However, the attenuation of light is significantly more pronounced in water than in air or in space, and so in order to obtain underwater images in colour, it is typically necessary to be within 2–3 m of the seafloor. In addition to the high risk of collision when operating underwater vehicles at such low altitudes, the limited area of the seafloor covered in each image means large area surveys require a significant investment of time. In this research, we aim to increase the efficiency of mapping large areas of the seafloor by developing an underwater imaging system that can take colour images at ranges of more than 10 m, so that each image can cover a larger area, together with the necessary algorithms to automatically process the data it obtains. The system was deployed to map artificial hydrothermal vents in Iheya North field using the ROV Hyper-Dolphin in October 2012. The surveyed area is of particular interest to the research community, as multiple artificial vent holes were drilled during a mission in 2010, which locally impacted the flow of hydrothermal fluids. In this paper, we describe the methods used to process the data that the imaging system obtains and demonstrate how the mapping data can be used in quantitative studies of the seafloor. Habitats of Shinkaia crosnieri squat lobsters, which are abundant in the hydrothermally active areas, are identified in the maps and their population density calculated, and the amount of hydrothermal deposits that have grown on the artificial vent is derived from the mapping data. The work demonstrates how 3D visual mapping can be applied to benthic biology and geological studies.
机译:海底3D视觉地图的应用范围从环境监测和海洋矿物勘测到水下考古和现代人工结构检查。但是,在水中,光的衰减比在空气或空间中的衰减明显得多,因此,为了获得彩色的水下图像,通常必须在海底2-3 m之内。除了在如此低的高度上操作水下航行器时发生碰撞的高风险外,每个图像中覆盖的海底区域也很有限,这意味着大面积调查需要大量时间。在这项研究中,我们旨在通过开发一种水下成像系统来提高海底大面积制图的效率,该水下成像系统可以在10 m以上的范围内拍摄彩色图像,从而使每个图像可以覆盖更大的区域,并提供必要的信息。自动处理所获取数据的算法。该系统于2012年10月使用ROV Hyper-Dolphin部署到Iheya North田间人工热液喷口的地图上。研究领域特别关注此调查区域,因为在2010年的一次任务期间钻了多个人工喷口,在当地影响了热液的流动。在本文中,我们描述了用于处理成像系统获得的数据的方法,并演示了如何将映射数据用于海底定量研究。在地图上确定了在热液活跃地区盛行的新喀山crosnieri蹲龙虾的栖息地,并计算了它们的种群密度,并且从制图数据中得出了人工喷口上生长的热液沉积量。这项工作演示了如何将3D视觉映射应用于底栖生物学和地质研究。

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