Abstract
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.
Highlights
Atmospheric visibility is an important weather and meteorological parameter that can seriously restrict aviation, navigation, road traffic and military activities
There are five relevant errors: the relative error of the meteorological optical range (MOR) caused by the Lt gain error of the target brightness (shown as Figs. 5(a) and 6(a)), the relative error of the MOR caused by the Lt zero-drift error of the target brightness (shown as Figs. 5(b) and 6(b)), the relative error of the MOR caused by the Lg gain error of the sky background brightness (shown as Figs. 5(c) and 6(c)), the relative error of the MOR caused by the Lg zero-drift error of the sky background brightness ((shown as Figs. 5(d) and 6(d))) and the relative error of the MOR caused by the Ct measurement error of the inherent brightness contrast (shown as Figs. 5(e) and 6(e))
Caused by the Lg gain error of the sky background brightness, the relative error of the MOR caused by the Lg zero-drift error of the sky background brightness and the relative error of the MOR caused by the Ct measurement error of the inherent brightness contrast, respectively
Summary
Atmospheric visibility is an important weather and meteorological parameter that can seriously restrict aviation, navigation, road traffic and military activities. The effects of the gain error, the zero-drift error and the inherent visural brightness contrast measurement error on the measurement range and accuracy of atmospheric visibility are analysed in detail, and the detection baseline length is adaptively adjusted according to these errors to achieve the best detection. When using the image method based on the brightness contrast value to measure visibility, the surface structure and the colour of the target object have a direct impact on the inherent brightness contrast.
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