基于高速公路视频图像的能见度计算
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摘要
能见度作为重要的气象观测因素之一,影响高速公路行车安全.基于视频资料的能见度计算方法类似于人眼的感知方式,具备对恶劣天气条件和复杂场地的适应性.基于安徽省2016年10月17日、12月1日和7日的3次大雾天气过程,选取跨省分布的3个高速公路站点,使用对应时次下视频图像灰度值均方差与能见度观测值建立计算模型.结果表明:1)随着大雾天气过程变化,模型计算结果较好体现了能见度的变化规律,对高速公路行车具有指导意义; 2)基于视频图像的能见度计算方法类似于人眼观测,能见度越高,人眼分辨地物清晰度越高,图像均方差越大; 3)由于监测原理和环境差异,能见度测量值与模型计算结果之间存在误差,理论上大雾空间分布越均匀,能见度仪和监控摄像头距离越近,计算误差越低.
Visibility is one of the important meteorological factors,and low visibility affects the safe and efficient operation of expressway. Visibility calculation method based on video data is similar to the perception of human eyes,and has the adaptability to bad weather conditions or complex observation sites.Based on three weather processes of fog in Anhui province on October 17 th,December 1 st and 7 th of 2016,the visibility calculation model were built by using gray mean square error of corresponding video image and visibility observation data of three highway sites in Anhui province.Results show that the modeled visibility can well reflect the actual visibility corresponding with the change of fog process.The proposed visibility calculation method based on video image is similar to the perception of human eyes,i.e.,the higher the visibility,the higher the resolution of terrain features for human eyes,and the greater the variance of the monitoring image as well.However,due to the difference in monitoring principle and the environment properties,error exists between the observation data and the calculated results.Theoretically,the error is low under the conditions of fog with uniform spatial distribution,and the visibility meter being close to the surveillance camera.
Visibility is one of the important meteorological factors,and low visibility affects the safe and efficient operation of expressway. Visibility calculation method based on video data is similar to the perception of human eyes,and has the adaptability to bad weather conditions or complex observation sites.Based on three weather processes of fog in Anhui province on October 17 th,December 1 st and 7 th of 2016,the visibility calculation model were built by using gray mean square error of corresponding video image and visibility observation data of three highway sites in Anhui province.Results show that the modeled visibility can well reflect the actual visibility corresponding with the change of fog process.The proposed visibility calculation method based on video image is similar to the perception of human eyes,i.e.,the higher the visibility,the higher the resolution of terrain features for human eyes,and the greater the variance of the monitoring image as well.However,due to the difference in monitoring principle and the environment properties,error exists between the observation data and the calculated results.Theoretically,the error is low under the conditions of fog with uniform spatial distribution,and the visibility meter being close to the surveillance camera.
引文
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[10]史倩义.能见度/天气现象监视技术研究[D].石家庄:河北工业大学机械工程学院,2007SHI Qianyi.Study on the visibility and present weather sensor[D].Shijiazhuang:School of Mechanical Engineering,Hebei University of Technology,2007
[11]郑辉,花毓幸,吴毅楠.基于图形兴趣窗格的能见度监测模拟[C]∥第33届中国气象学会年会,2016ZHENG Hui,HUA Yuxing,WU Yinan.Visibility monitoring simulation based on ROI[C]∥The 33th Annual Meeting of Chinese Meteorological Society,2016
[12]花毓幸.基于图像兴趣窗格测算大气能见度的方法研究[D].南京:南京信息工程大学地理与遥感学院,2016HUA Yuxing.The research of measurement method of visibility based on the optimal ROI[D].Nanjing:School of Geography and Remote Sensing,Nanjing University of Information Science and Technology,2016
[2]周庆逵,陈钊正,陈启美.基于视频的路况能见度监测系统的设计与实现[J].电子测量技术,2009,32(6):72-76ZHOU Qingkui,CHEN Zhaozheng,CHEN Qimei.Visibility detection system based on road monitoring camera[J].Electronic Measurement Technology,2009,32(6):72-76
[3]陈钊正,周庆逵,陈启美.基于小波变换的视频能见度检测算法研究与实现[J].仪器仪表学报,2010,31(1):92-98CHEN Zhaozheng,ZHOU Qingkui,CHEN Qimei.Video visibility detection algorithm based on wavelet transformation[J].Chinese Journal of Scientific Instrument,2010,31(1):92-98
[4]苗苗.视频能见度监测算法综述[J].现代电子技术,2012,35(15):72-75MIAO Miao.Survey on video-based visibility detection method[J].Modern Electronics Technique,2012,35(15):72-75
[5]李勃,董蓉,陈启美.无需人工标记的视频对比度道路能见度检测[J].计算机辅助设计与图形学学报,2009,21(11):1575-1582LI Bo,DONG Rong,CHEN Qimei.Visibility detection based on traffic video contrast analysis without artificial markers[J].Journal of Computer-Aided Design&Computer Graphics,2009,21(11):1575-1582
[6]安明伟,陈启美,郭宗良.基于路况视频的气象能见度检测方法与系统设计[J].仪器仪表学报,2010,31(5):1148-1153AN Mingwei,CHEN Qimei,GUO Zongliang.Visibility detection method and system design based on traffic video[J].Chinese Journal of Scientific Instrument,2010,31(5):1148-1153
[7]Hallowell R G,Matthews M P,Pisano P A.Automated extraction of weather variables from camera imagery[C]∥The 2005 Mid-Continent Transportation Research Symposium,2005:1-13
[8]李佳,葛嘉琦,陈启美.路况视频能见度监测算法[J].计算机工程,2009,35(16):175-177LI Jia,GE Jiaqi,CHEN Qimei.Visibility detection algorithm for road video[J].Computer Engineering,2009,35(16):175-177
[9]项文书.基于交通视频的能见度估计研究[D].上海:上海交通大学电子信息与电气工程学院,2014XIANG Wenshu.Visibility estimation using traffic surveillance video[D].Shanghai:School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,2014
[10]史倩义.能见度/天气现象监视技术研究[D].石家庄:河北工业大学机械工程学院,2007SHI Qianyi.Study on the visibility and present weather sensor[D].Shijiazhuang:School of Mechanical Engineering,Hebei University of Technology,2007
[11]郑辉,花毓幸,吴毅楠.基于图形兴趣窗格的能见度监测模拟[C]∥第33届中国气象学会年会,2016ZHENG Hui,HUA Yuxing,WU Yinan.Visibility monitoring simulation based on ROI[C]∥The 33th Annual Meeting of Chinese Meteorological Society,2016
[12]花毓幸.基于图像兴趣窗格测算大气能见度的方法研究[D].南京:南京信息工程大学地理与遥感学院,2016HUA Yuxing.The research of measurement method of visibility based on the optimal ROI[D].Nanjing:School of Geography and Remote Sensing,Nanjing University of Information Science and Technology,2016