Measuring nearshore waves at break point in 4D with Stereo-GoPro photogrammetry: A field comparison with multi-beam LiDAR and pressure sensors

Marion Jaud , Stéphane Bertin , Emmanuel Augereau , France Floc’h
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Abstract

Measuring nearshore waves remains technically challenging despite wave properties are being used in a variety of applications. With the promise of high-resolution and remotely-sensed measurements of water surfaces in four dimensions (spatially and temporally), stereo-photogrammetry applied to video imagery has grown as a viable solution over the last ten years. However, past deployments have essentially used costly cameras and optics, requiring fixed deployment platforms and hindering the applicability of the method in the field.
Focusing on close-range measurements of nearshore waves at break point, this paper presents a detailed evaluation of a field-oriented and cost-effective stereo-video system composed of two GoProTM (Hero 7) cameras capable of collecting 12-megapixel imagery at 24 frames per second. The so-called ‘Stereo-GoPro’ system was deployed in the surf zone during energetic conditions at a macrotidal field site using a custom-assembled mobile tower. Deployed concurrently with stereo-video, a 16-beam LiDAR (Light Detection and Ranging) and two pressure sensors provided independent data to assess stereo-GoPro performance. All three methods were compared with respect to the evolution of the free-surface elevation over 25 min of recording at high tide and the wave parameters derived from spectral analysis. We show that stereo-GoPro allows producing digital elevation models (DEMs) of the water surface over large areas (250 m2) at high spatial resolution (0.2 m grid size), which was unsurpassed by the LiDAR. From instrument inter-comparisons at the location of the pressure transducers, free-surface elevation root-mean square errors of 0.11 m and 0.18 m were obtained respectively for LiDAR and stereo-GoPro. This translated into a maximum relative error of 3.9% and 12.5% on spectral wave parameters for LiDAR and stereo-GoPro, respectively. Optical distortion in imagery, which could not be completely corrected with calibration, was the main source of error. Whilst stereo-video processing workflow remains complex, cost-effective stereo-photogrammetry already opens new opportunities for deriving wave parameters in coastal regions, as well as for various other practical applications. Further tests should try to address specifically challenges associated to variable ambient conditions and acquisition configurations, affecting measurement performance, to guarantee a larger uptake of the technique.

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利用 Stereo-GoPro 摄影测量技术在 4D 条件下测量近岸波浪断裂点:与多波束激光雷达和压力传感器的实地比较
尽管波浪特性被广泛应用于各种领域,但对近岸波浪的测量在技术上仍具有挑战性。过去十年来,由于有望在四维(空间和时间)上对水面进行高分辨率遥感测量,应用于视频图像的立体摄影测量技术已发展成为一种可行的解决方案。本文以近岸波浪断裂点的近距离测量为重点,详细评估了一种面向现场、经济高效的立体视频系统,该系统由两台 GoProTM(Hero 7)摄像机组成,能够以每秒 24 帧的速度采集 1200 万像素的图像。所谓的 "Stereo-GoPro "系统是在大潮汐现场的高能条件下,利用定制组装的移动塔在冲浪区部署的。与立体视频同时部署的还有一个 16 光束激光雷达(光探测与测距)和两个压力传感器,它们提供独立数据以评估立体-GoPro 的性能。我们比较了这三种方法在涨潮时记录 25 分钟的自由表面海拔高度的变化情况,以及通过光谱分析得出的波浪参数。结果表明,立体-GoPro 能够以高空间分辨率(0.2 米网格大小)生成大面积(250 平方米)的水面数字高程模型(DEM),这是激光雷达无法超越的。通过在压力传感器位置进行仪器间比较,LiDAR 和立体-GoPro 的自由表面高程均方根误差分别为 0.11 米和 0.18 米。因此,LiDAR 和立体 GoPro 的光谱波参数的最大相对误差分别为 3.9% 和 12.5%。图像中的光学失真是造成误差的主要原因,校准无法完全纠正这种失真。虽然立体视频处理工作流程依然复杂,但具有成本效益的立体摄影测量已经为推导沿海地区的波浪参数以及其他各种实际应用提供了新的机会。进一步的测试应努力解决与多变的环境条件和采集配置相关的挑战,这些挑战会影响测量性能,以确保该技术得到更广泛的应用。
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