Bathymetry estimation from wave motion with optical imagery: Influence of acquisition parameters

C. Danilo, R. Binet
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引用次数: 10

Abstract

This article presents a thorough testing of the bathymetry estimation method known as Wave Kinematics Bathymetry. WKB is used with nautical radar and spaceborne optical imagery for shallow water zones [1], [2] and is based on the analysis of sea waves using two successive images of the same zone with an interval of only a few seconds. While in certain conditions the method seems to give promising results, a number of parameters during capture such as wind, Sun, and sensor position can reduce its precision considerably. In the article we set out to investigate this dependence of the WKB on external parameters in an empirical way. For this purpose we have developed a sea surface simulator that allows us to reproduce a large number of configurations of Sun and sensor positions, as well as of wave properties. We use our simulator in particular with respect to a set of real Pléiades images taken in Brittany, France, allowing us to pre-determine the subset suitable for bathymetry estimation. Our results can thus be useful from both a time and a cost saving perspective.
基于光学图像的波浪测深估计:获取参数的影响
本文提出了一种被称为波浪运动学测深的测深估计方法的全面测试。WKB与浅水区的航海雷达和星载光学图像一起使用[1],[2],基于对同一区域的两张连续图像的海浪分析,间隔仅为几秒。虽然在某些条件下,该方法似乎给出了有希望的结果,但在捕获过程中的一些参数,如风、太阳和传感器位置,可能会大大降低其精度。在文章中,我们着手调查这种依赖的WKB对外部参数的经验方式。为此,我们开发了一个海面模拟器,使我们能够重现大量的太阳和传感器位置配置,以及波浪属性。我们特别针对在法国布列塔尼拍摄的一组真实plizimiades图像使用我们的模拟器,使我们能够预先确定适合水深估计的子集。因此,从节省时间和成本的角度来看,我们的结果是有用的。
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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