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基于高速公路视频图像的能见度计算

姚镇海 周建平 邱新法

南京信息工程大学学报2019,Vol.11Issue(1):85-90,6.
南京信息工程大学学报2019,Vol.11Issue(1):85-90,6.DOI:10.13878/j.cnki.jnuist.2019.01.015

基于高速公路视频图像的能见度计算

Visibility calculation algorithm based on highway video image

姚镇海 1周建平 1邱新法2

作者信息

  • 1. 安徽省公共气象服务中心, 合肥, 230061
  • 2. 南京信息工程大学 应用气象学院, 南京, 210044
  • 折叠

摘要

Abstract

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.

关键词

能见度/视频图像/灰度值/均方差

Key words

visibility/video image/gray value/mean square error

分类

天文与地球科学

引用本文复制引用

姚镇海,周建平,邱新法..基于高速公路视频图像的能见度计算[J].南京信息工程大学学报,2019,11(1):85-90,6.

基金项目

安徽省气象局科研项目 (RC201604) (RC201604)

江苏省气象局北极阁开放研究基金 (BJG201501) (BJG201501)

南京信息工程大学学报

OACSTPCD

1674-7070

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