Error Analysis of Atmospheric Visibility Measurements Based on an Image Brightness Contrast Method
Min Wang, Shudao Zhou, Yang Zhong, Zhanhua Liu · IEEE Access · 2020
The method of image visibility detection is one of the methods closest to human vision. It is based on the principle of human eye observation but avoids the errors resulting from human subjectivity. However, the background and stray light and weather conditions seriously impact the detection. Furthermore, the inherent brightness contrast of the artificial target plate has a large error due to the reflection of the surface structure, which hinders the widespread application of this method. In this study, the effects of the gain and zero-drift errors and the measurement error from inherent brightness contrast on the measurement range and accuracy of atmospheric visibility are analyzed in detail. The detection baseline length is adaptively adjusted according to these errors to achieve the best detection.