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The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

机译:大气校正对浅水机载高光谱遥感的重要性:应用于深度估计

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摘要

Accurate determination of water depth is indispensable in multiple aspects ofcivil engineering (dock construction, dikes, submarines outfalls, trenchcontrol, etc.). To determine the type of atmospheric correction mostappropriate for the depth estimation, different accuracies are required.Accuracy in bathymetric information is highly dependent on the atmosphericcorrection made to the imagery. The reduction of effects such as glint andcross-track illumination in homogeneous shallow-water areas improves theresults of the depth estimations. The aim of this work is to assess the bestatmospheric correction method for the estimation of depth in shallow waters,considering that reflectance values cannot be greater than 1.5 % becauseotherwise the background would not be seen. This paper addresses the use ofhyperspectral imagery to quantitative bathymetric mapping and explores one ofthe most common problems when attempting to extract depth information inconditions of variable water types and bottom reflectances. The current workassesses the accuracy of some classical bathymetric algorithms(Polcyn–Lyzenga, Philpot, Benny–Dawson, Hamilton, principal componentanalysis) when four different atmospheric correction methods are applied andwater depth is derived. No atmospheric correction is valid for all type ofcoastal waters, but in heterogeneous shallow water the model of atmosphericcorrection 6S offers good results.
机译:在土木工程的多个方面(码头建设,堤防,潜艇排污口,沟渠控制等),准确确定水深是必不可少的。为了确定最适合深度估计的大气校正类型,需要使用不同的精度。测深信息的准确性高度依赖于对图像进行的大气校正。在均质的浅水区减少诸如闪烁和越轨照明的影响,改善了深度估计的结果。这项工作的目的是评估用于估计浅水深度的大气压校正方法,考虑到反射率值不能大于1.5%,否则将看不到背景。本文探讨了使用高光谱图像进行定量测深图绘制的方法,并探讨了在水类型和底部反射率可变的情况下尝试提取深度信息时最常见的问题之一。当采用四种不同的大气校正方法并推导出水深时,当前工作评估了某些经典测深算法(Polcyn–Lyzenga,Philpot,Benny–Dawson,Hamilton,主成分分析)的准确性。没有一种大气校正方法适用于所有类型的沿海水域,但是在非均质浅水中,大气校正模型6S提供了良好的结果。

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