Seafloor roughness measurement from a ROV

N. Chotiros, M. Isakson, J. Piper, M. Zampolli
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引用次数: 13

Abstract

A method of seafloor roughness measurement using low-power lasers and a camcorder mounted on a ROV was demonstrated in the EVA (Experiments for Validation of Acoustics modeling techniques) sea trials, conducted near Marciana Marina, Isola d'Elba, Italy. Six red laser beams were spread by cylindrical lenses into parallel planes. The intersection of the laser planes with the ocean bottom was imaged on a digital camcorder, pitched down at a nominal angle of 45 degrees. NTSC video recordings were collected and analyzed to extract the laser profiles. After correcting for aberrations due to refraction between air and water and other imperfections, taking into account the scanning and interlacing effects of the NTSC video, and given the relative positions of the camcorder and lasers, the 3-D coordinates of the laser profiles relative to the camcorder were computed. Images of the seafloor were used in an image registration algorithm to track the trajectory of the camcorder, and stack the laser profiles to reconstruct the seafloor surface. The measurements were made in conjunction with acoustic reflection measurements to determine the effects of incoherent scattering on the mean value of the reflection coefficient over a wide range of angles.
水下机器人测量海底粗糙度
在意大利Isola d'Elba的Marciana码头附近进行的EVA(声学建模技术验证实验)海上试验中,展示了一种使用低功率激光和安装在ROV上的摄像机进行海底粗糙度测量的方法。六束红色激光束通过圆柱形透镜传播成平行平面。激光飞机与海底的交点被用数码摄像机拍摄下来,以45度的名义角度向下倾斜。采集NTSC录像并进行分析,提取激光轮廓。在校正了空气和水之间的折射和其他缺陷造成的像差后,考虑到NTSC视频的扫描和隔行效应,并给定摄像机和激光器的相对位置,计算了激光轮廓相对于摄像机的三维坐标。利用海底图像配准算法跟踪摄像机的运动轨迹,叠加激光轮廓重建海底表面。这些测量与声反射测量一起进行,以确定非相干散射对大范围角度反射系数平均值的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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