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Water Depth Inversion From a Single SPOT-5 Dataset

机译：来自单个SPOT-5数据集的水深反演

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摘要

Knowing bathymetry at intermediate depth, over large areas, and at a reasonable cost is a key issue. Spaceborne remote sensing techniques must play an essential role in retrieving such bathymetry. In this paper, a method is proposed that aims to address this issue without any measurements by exploiting the characteristics of the SPOT-5 satellite dataset. The proposed method is designed to provide bathymetry from two optical SPOT-5 satellite images separated by a time lag of 2.04 s. It relies on the estimation of several clouds of wave celerity and wavelength pairs using wavelet and cross-correlation techniques and on the linear wave dispersion relation. This method has been applied to two SPOT-5 images on a test site characterized by complex bathymetry (Saint-Pierre, La Réunion Island). A comparison of the retrieved bathymetry with bathymetric measurements reveals good morphological agreement. The mean relative error is less than 30% in the 3–80-m water depth range. The methodological choices made during method development are discussed based on additional computations, and guidelines for using the proposed method on other images at other sites are provided.
机译：关键问题是了解中等深度，大面积且成本合理的测深法。星空遥感技术必须在检索此类测深中发挥重要作用。在本文中，提出了一种方法，旨在通过利用SPOT-5卫星数据集的特征来解决此问题，而无需进行任何测量。拟议中的方法旨在从相隔2.04 s的时间间隔的两个SPOT-5光学卫星图像中提供测深法。它依赖于使用小波和互相关技术估算波速和波长对的几朵云，并依赖于线性波色散关系。该方法已应用于以复杂测深为特征的测试站点（圣皮埃尔，拉留尼翁岛）上的两个SPOT-5图像。将测得的测深图与测深图进行比较可以发现良好的形态学一致性。在3–80米水深范围内，平均相对误差小于30％。基于额外的计算，讨论了在方法开发过程中做出的方法选择，并提供了在其他位置的其他图像上使用建议的方法的指南。

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