首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >A simple and effective method for removing residual reflected skylight in above-water remote sensing reflectance measurements
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A simple and effective method for removing residual reflected skylight in above-water remote sensing reflectance measurements

机译:一种简单有效的方法,用于在水上遥感反射率测量中去除剩余反射天窗

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摘要

In situ remote sensing reflectance (R-rs) measured using the above-water approach usually suffers from residual reflected skylight (Delta), and thus its applicability is limited. In this study, we proposed a simple method, which only required the in situ R-rs spectrum itself as input, to further remove the Delta effects in the in situ R-rs spectrum. The performance of the proposed method was evaluated using both simulation data and in situ R-rs spectra measured using a radiance sensor with a black tube (Delta-free in situ R-rs). The results showed that the proposed method outperformed other existing methods and can be applied to various types of waters. For example, from the two simulation experiments, it was seen that the proposed method can provide accurate R-rs spectra with a mean absolute percentage error (MAPE) = 6% even if they are measured under various sky conditions and wind speeds (using Hydrolight) and can estimate accurate Delta values with MAPE = 5% (using a simple bio-optical model). From a comparison analysis using Delta-free in situ R-rs data, the proposed method also showed the best performance with the smallest MAPE of 45% (MAPE ranged from 52% to 260% for other existing methods). In addition, the proposed method can improve the quality of R-rs spectra collected under various sky conditions (clear, scattered clouds and overcast), with an increased proportion of higher quality assurance scores. Two showcases indicate that the Delta corrections should be carried out for all above water approach-measured R-rs spectra before they are applied to develop water quality estimation algorithms or to evaluate the performances of atmospheric correction algorithms.
机译:使用上述水处理测量的原位遥感反射率(R-RS)通常遭受残留的反射天窗(DELTA),因此其适用性受到限制。在这项研究中,我们提出了一种简单的方法,该方法仅需要原位R-RS谱本身作为输入,以进一步除去原位R-RS谱中的Δ效果。使用仿真数据和使用具有黑管的辐射传感器测量的仿真数据和原位R-RS光谱来评估所提出的方法的性能(Situe R-RS)。结果表明,该方法优于其他现有方法,可应用于各种类型的水域。例如,从两个模拟实验中,看出所提出的方法可以提供准确的R-RS光谱,即使在各种天空条件下测量和风速,即使在各种天空和风速下测量,也可以提供平均绝对百分比误差(MAPE)= 6%(使用水曲线)可以估计mape = 5%的准确增量值(使用简单的生物光学模型)。从比较分析使用Δ免于原位R-RS数据,所提出的方法还显示出最佳性能,最小的MAPE为45%(MAPE为其他现有方法的52%至260%)。此外,所提出的方法可以提高在各种天空条件下收集的R-RS光谱的质量(清晰,散射云和阴云密布),增加的质量保证分数的比例增加。两个陈列期表表明,在应用水质估计算法或评估大气校正算法的性能之前,应该对所有上述水方法测量的R-RS光谱进行Δ校正。

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