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The influence of geometric correction on the accuracy of the extraction of the remote sensing reflectance of water
International Journal of Remote Sensing ( IF 3.4 ) Pub Date : 2020-12-30 , DOI: 10.1080/2150704x.2020.1847350
Aimin Li 1 , Guangping Xia 1
Affiliation  

ABSTRACT In colour remote sensing of water, the effect of geometric correction on the extraction of water reflectance is worth exploring. The spectral data were measured by sampling three polluted water bodies in Zhengzhou City, and the Planet satellite image data of these areas were obtained and divided into two groups (with and without geometric correction). The two groups of images were then subjected to atmospheric correction using the quick atmospheric correction (QUAC) algorithm to obtain the remote-sensing reflectance values of the water bodies. The results showed that, for the two different extraction methods, the original data and geometrically corrected extraction results are approximately equal, and the spectral curves show similar trends. Compared with the measured spectral data, it is found that the two groups of data extracted from remote sensing images are more likely to show large-scale changes between the red band and the near-infrared (NIR) band. It is concluded that geometric correction affects values of water reflectance based on extraction of images, but has less effect on the overall trend of the curve, and the probability of changes of water reflectance extraction in NIR band is higher than in other bands.

中文翻译:

几何校正对水体遥感反射率提取精度的影响

摘要 在水体彩色遥感中,几何校正对水体反射率提取的影响值得探讨。光谱数据通过对郑州市三个污染水体的采样进行测量,获得这些区域的Planet卫星影像数据,并将其分为两组(有几何校正和无几何校正)。然后使用快速大气校正(QUAC)算法对两组图像进行大气校正,以获得水体的遥感反射率值。结果表明,对于两种不同的提取方法,原始数据和几何校正的提取结果大致相等,光谱曲线呈现出相似的趋势。与实测光谱数据相比,结果发现,从遥感影像中提取的两组数据更容易呈现红波段和近红外(NIR)波段之间的大尺度变化。结论是几何校正会影响基于提取图像的水反射率值,但对曲线的整体趋势影响较小,近红外波段水反射率提取变化的概率高于其他波段。
更新日期:2020-12-30
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