Abstract
A multi optical parametric imaging system is introduced and established in order to improve the contrast of object in the fog. A few targets are observed in the fog weather based on the system level radiation model of multi optical parametric imaging and the calibrated model parameters. The results show that the building’s windows can be distinguished clear in the linear polariza-tion, circular polarization and angle of polarization images because of the strong reflected polarization light of the glass; The vehicles in intersection can hardly be seen in the intensity image, and it is fuzzy in degree of linear polarization and angle of polarization image because of the doped polarization information of trees near in fog; The circular polarization image raises the contrast of the vehicles by 20% because the circle polarization of the trees is less in the fog.
Highlights
There are so Frequent Haze weather of many cities in China which affects people’s health and the visibility and influence People’s Daily life at the same time, especially in the fields of the road traffic, sea targets monitoring and aviation flight safety [1] [2] [3]
The results show that the building’s windows can be distinguished clear in the linear polarization, circular polarization and angle of polarization images because of the strong reflected polarization light of the glass; The vehicles in intersection can hardly be seen in the intensity image, and it is fuzzy in degree of linear polarization and angle of polarization image because of the doped polarization information of trees near in fog; The circular polarization image raises the contrast of the vehicles by 20% because the circle polarization of the trees is less in the fog
Wang Yong and Tianquan Liang carried out the study of the linear polarization image recognition method by using 0 ̊, 60 ̊, 120 ̊ which are three different polarization directions of polarization radiation pattern, the experimental results showed the method can more effectively to distinguish the distant goal, to improve the target image contrast and obtain the target distance information [7] [8]
Summary
There are so Frequent Haze weather of many cities in China which affects people’s health and the visibility and influence People’s Daily life at the same time, especially in the fields of the road traffic, sea targets monitoring and aviation flight safety [1] [2] [3]. Et al Studied the parallel and vertical polarization direction of scene images in haze weather successively and analyze the target image, the result showed that image contrast [6] are increased obviously. Wang Yong and Tianquan Liang carried out the study of the linear polarization image recognition method by using 0 ̊, 60 ̊, 120 ̊ which are three different polarization directions of polarization radiation pattern, the experimental results showed the method can more effectively to distinguish the distant goal, to improve the target image contrast and obtain the target distance information [7] [8]. Compared with radiation intensity or linear polarization degree of image detection technology which are based on single parameter information, multiple optical parametric measurement imaging system this paper developed can simultaneously obtain the target’s multiple optical parametric image information such as intensity , polarization radiation, the partial radiation, linear polarization, circular polarization degree and polarization Angle, etc. target recognition ability in the fog haze image can be improved by the test of the multidimensional data analysis
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