多光参量测量成像技术用于雾霾天气的实验研究

发布时间：2018-01-13 08:19

本文关键词：多光参量测量成像技术用于雾霾天气的实验研究　出处：《应用光学》2017年04期 　论文类型：期刊论文

【摘要】：针对雾霾天气条件下目标对比度下降问题,研制成功了一套多光参量测量成像系统。通过多光参量成像的系统级辐射响应模型及模型参数分离式标定,实现雾霾天气情况下的多种场景目标成像实验观测。结果显示:楼房玻璃反射光中的偏振分量相对较强,通过线偏振、圆偏振、偏振角图像,可以清晰地分辨玻璃窗结构;普通的强度信息很难辨别雾霾天气下的路口车辆,在线偏振及偏振角图像中能够看到车辆,但是掺杂了树木的偏振信息,车辆信息较模糊;在圆偏振信息图像中,树木的圆偏振信息较少,车辆目标对比度提高20%。
[Abstract]:Aiming at the problem of target contrast descent under haze weather condition, a set of multi-optical parameter measurement imaging system is developed. The system level radiation response model and model parameters are calibrated separately by multi-optical parameter imaging. The results show that the polarization component of the reflected light of building glass is relatively strong, through linear polarization, circular polarization, polarization angle image. The glass window structure can be clearly distinguished; The common intensity information is difficult to distinguish the intersection vehicles under the haze weather. The vehicle can be seen in the online polarization and polarization angle images, but the information of the vehicle is blurred when the polarization information of the trees is doped. In the image of circular polarization information, the information of circular polarization of trees is less, and the contrast of vehicle target is increased by 20%.
【作者单位】：滨州学院航空工程学院;
【基金】：国家自然科学基金(41401384,41201368) 山东省高校科研发展计划(J14LJ02)
【分类号】：O436.3;TP391.41
【正文快照】： 引言近期我国多个城市雾霾天气频繁出现,不仅影响了人们的身体健康,同时致使能见度降低,影响人们的日常生活,在道路交通、海上目标监测、航空飞行安全等方面尤为明显[1-3]。国内外学者先后从多个角度开展了雾霾天气的目标识别研究。K Nayar(1999)运用大气散射的基本原理模型,

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