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首页> 外文期刊>International journal of remote sensing >Correction of hyperspectral reflectance measurements for surface objects and direct sun reflection on surface waters
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Correction of hyperspectral reflectance measurements for surface objects and direct sun reflection on surface waters

机译：校正地表物体的高光谱反射率测量值以及地表水的直接太阳反射

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摘要

Satellite, airborne, or platform-based remote sensing reflectance measurements of aquatic targets are frequently compromised by water-surface effects such as specular sun reflection (glint) or transient objects like buoys or boats. For temporal or spatial data series where sub-surface reflectance is of interest, the elimination of affected data may require time-consuming manual selection of spectra and substantial data loss. Here, we present a method for the automated elimination of data points containing surface objects or strong sun reflection, which is based on the spectral slope in the ultra-violet to blue (350 run to 450 nm). To minimize data loss, an automated sun glint correction combining two previously published methods is also presented. The method operates by subtracting a glint spectrum by means of a regression curve characterized from low to medium glint data points and is further automated by selecting these low glint data on the basis of the oxygen absorption depth in the near infrared (NIR). The elimination and correction algorithms facilitate rapid automated processing of large bio-optical data sets for both spatial and temporally resolved remote-sensing reflectance data sets. Here we demonstrate their efficacy on a three-month data set of hourly light field measurements from a fixed platform in the northwest Mediterranean.
机译：卫星，机载或基于平台的水生目标的遥感反射率测量经常受到水面效应（例如镜面太阳反射（闪烁）或浮标或船等瞬态物体）的影响。对于关注地下反射率的时间或空间数据系列，要消除受影响的数据可能需要耗时的手动光谱选择和大量数据丢失。在这里，我们提出了一种自动消除包含表面物体或强烈太阳反射的数据点的方法，该方法基于紫外线到蓝色的光谱斜率（350到450 nm）。为了最大程度地减少数据丢失，还介绍了一种结合了两个以前发布的方法的自动阳光闪烁校正。该方法通过借助特征在于低到中等闪烁数据点的回归曲线减去闪烁光谱来操作，并且通过基于近红外（NIR）中的氧吸收深度选择这些低闪烁数据而进一步自动化。消除和校正算法有助于对空间和时间分辨的遥感反射数据集的大型生物光学数据集进行快速自动化处理。在这里，我们从地中海西北部固定平台的每小时光场测量的三个月数据集上证明了它们的功效。

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  • 来源
    《International journal of remote sensing》 |2013年第20期|6651-6667|共17页
  • 作者

    Julia A. Busch; John D. Hedley; Oliver Zielinski;

  • 作者单位

    Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University Oldenburg, 26111 Oldenburg, Germany,Ecological Chemistry, Alfred-Wegener-Institut Helmholtz-Zentrum fuer Polar- und Meeresforschung, Bremerhaven, Germany;

    ARGANS Ltd., Tamar Science Park, Derriford, Plymouth PL6 8BX, UK;

    Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University Oldenburg, 26111 Oldenburg, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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