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利用基于多张反射参考卡的数码相机测量水反射率。

Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards.

机构信息

Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2020 Nov 18;20(22):6580. doi: 10.3390/s20226580.

Abstract

With the development of citizen science, digital cameras and smartphones are increasingly utilized in water quality monitoring. The smartphone application HydroColor quantitatively retrieves water quality parameters from digital images. HydroColor assumes a linear relationship between the digital pixel number (DN) and incident radiance and applies a grey reference card to derive water leaving reflectance. However, image DNs change with incident light brightness non-linearly, according to a power function. We developed an improved method for observing and calculating water leaving reflectance from digital images based on multiple reflectance reference cards. The method was applied to acquire water, sky, and reflectance reference card images using a Cannon 50D digital camera at 31 sampling stations; the results were validated using synchronously measured water leaving reflectance using a field spectrometer. The R for the red, green, and blue color bands were 0.94, 0.95, 0.94, and the mean relative errors were 27.6%, 29.8%, 31.8%, respectively. The validation results confirm that this method can derive accurate water leaving reflectance, especially when compared with the results derived by HydroColor, which systematically overestimates water leaving reflectance. Our results provide a more accurate theoretical foundation for quantitative water quality monitoring using digital and smartphone cameras.

摘要

随着公民科学的发展,数码相机和智能手机越来越多地用于水质监测。智能手机应用程序 HydroColor 可从数字图像中定量获取水质参数。HydroColor 假设数字像素数 (DN) 与入射辐射之间存在线性关系,并应用灰度参考卡得出水体后向反射率。然而,图像 DN 与入射光亮度之间呈非线性关系,符合幂函数。我们开发了一种基于多反射参考卡的改进方法,用于从数字图像中观察和计算水体后向反射率。该方法应用于在 31 个采样站使用 Cannon 50D 数码相机获取水体、天空和反射参考卡图像,并使用现场光谱仪同步测量水体后向反射率进行验证。红、绿、蓝波段的 R 值分别为 0.94、0.95、0.94,平均相对误差分别为 27.6%、29.8%、31.8%。验证结果证实,该方法可以得出准确的水体后向反射率,特别是与 HydroColor 得出的结果相比,后者系统地高估了水体后向反射率。我们的研究结果为使用数字和智能手机相机进行定量水质监测提供了更准确的理论基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb09/7698626/2f22aae1800a/sensors-20-06580-g001.jpg

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