期刊文献+

长江山区航道能见度监测系统的开发 被引量:2

Development of visibility monitoring system in the Yangtze River mountainous area
下载PDF
导出
摘要 设计了一套基于图像的长江山区航道能见度监测系统,主要包括数据采集模块与学习模块、能见度计算单元以及报警与通信模块。实现了信息采集、基于图像的能见度估计算法,并结合D-S证据理论实现了基于多传感器的能见度估计融合算法。能见度计算模块中报警模块可以监测能见度的动态变化情况,并依据规则发出预警信息,该系统已实现并得到验证。 A image based visibility monitoring system for the Yangtze River in mountainous area is designed, including data acquisition module, learning module, visibility calculation module and alarm and communication module. The algorithm of information acquisition and visibility estimation based on image is realized, and the fusion algorithm based on multi sensors is realized by combining the D-S evidence theory. The alarm unit can monitor the dynamic changes of visibility according to the rules. The system has been implemented and validated.
作者 潘育明
机构地区 长江航道局
出处 《水运工程》 北大核心 2016年第1期52-57,共6页 Port & Waterway Engineering
基金 交通运输部信息化技术研究项目(2013364548200) 湖北省自然科学基金创新群体项目(2013CFA007)
关键词 长江山区航道 能见度监测 图像处理 D—S证据理论 航运安全 the Yangtze River mountainous channel visibility monitoring image processing D-S evidential theory maritime safety
  • 相关文献

参考文献9

  • 1林海,魏重.北京地区太阳可见光辐射与大气透明度的初步测量[J].大气科学,1976(2):52-55.
  • 2莫月琴,刘钧,吕文华,李祥超,王改利,陈钟荣.前向散射型能见度仪原理样机的主要性能分析[J].南京气象学院学报,2004,27(2):230-237. 被引量:9
  • 3Kwon T M. An automatic visibility measurement system based on video cameras [R]. Minnesota Department of Transportation, 1998: 1-68.
  • 4aiumer D, Versick S, Vogel B. Determination of the visibility using a digital panorama camera[J]. Atmosphere Evironment, 2008, 42:2 593-2 602.
  • 5Wang Jingli, Liu Xulin, Yang Xihua, et al. Development and evaluation of a new digital photography visiometer system or automated visibility observation[J] . Atmosphere Environment, 2014, 87: 19-25.
  • 6Nathan Graves, Shawn Newsam. Using visibility cameras to estimate atmospheric light extinction[R]. USA: Workshop on Applications of Computer Vision-WACV, 2011,577-584.
  • 7Hallowell R G, Matthews M P. Automated Extraction of Weather Variables from Camera Imagery[C]//2005 Mid- Continent Transportation Research Symposium. USA: CTRE, 2005.
  • 8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):92-98. 被引量:28
  • 9王中,陈艳英.三峡库区航运气象条件分析[J].长江流域资源与环境,2008,17(1):79-82. 被引量:13

二级参考文献20

  • 1曹晓光,徐琳,郁文霞.基于角点检测的高精度点匹配算法[J].仪器仪表学报,2006,27(z2):1269-1271. 被引量:13
  • 2冯汉中,陈永义,成永勤,罗可生.双流机场低能见度天气预报方法研究[J].应用气象学报,2006,17(1):94-99. 被引量:30
  • 3CAVALLO V, OLOMB M, DORE J. Distance perception of vehicle rear lights in fog[J]. Hum. Factors, 43(3): 442-451.
  • 4DUMONT E, CAVALLO V. Extended photometric model of fog effects on road vision[J]. Transp. Res. Rec. J. Transp. Board, 2004,1862:77-81.
  • 5HAUTIERE N, TAREL J P, AVENANT J, et al. Automatic fog detection and estimation of visibility distance through use of an onboard camera[J]. Machine Vision and Applications Journal, April 2006,17(1 ):8-20.
  • 6JOURLIN M, PINOLI J C. Logarithmic image processing[J]. Advances in Imaging and Electron Physics, vol. 2001,115:129-196.
  • 7CAVALLO D V. Extended photometric model of fog effects on road vision[J]. Transp. Res. Board, 2004,8(1): 77-81.
  • 8HAUTIERE N, LABAYRADE R. Real-time disparity contrast combination for onboard estimation of the visibility distance[J]. IEEE Transactions on Intelligent Transportation Systems, 2006,7(2):201-212.
  • 9BUSH C, DEBES E. Wavelet transform for analyzing fog visibility[J]. IEEE Intell. Syst., 1998,13(6):66-71.
  • 10ZHENG Y Y, ZHOU E TIAN X, et al. Lightweight content-adaptive coding in joint analyzing-encoding framework[J]. Consumer Electronics, IEEE Transactions, 2008, 54(2):614 - 622.

共引文献47

同被引文献11

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部