Deep learning-based weather image recognition

Li Wei Kang, Ke Lin Chou, Ru Hong Fu

研究成果: 書貢獻/報告類型會議論文篇章

22 引文 斯高帕斯(Scopus)

摘要

Image data captured from outdoor visual devices are usually degraded by turbid media, such as haze, smoke, fog, rain, or snow. Therefore, weather conditions would usually disrupt or degrade proper functioning of vision-assisted transportation systems or ADAS (advanced driver assistance systems), as well as several other outdoor surveillance-based systems. To cope with these problems, removal of weather effects (or deweathering) from images has been important and received much attention. Hence, it is important to provide a preprocessing stage to automatically determine the weather condition for an input image, and then the corresponding proper deweathering operations (e.g., removals of haze, rain, or snow) would be correctly triggered accordingly. This paper presents a deep learning-based weather image recognition framework by considering the three most common weather conditions, including hazy, rainy, and snowy, in outdoor scenes. For an input image, our method automatically classifies the image into one of the three categories or none of them (e.g., sunny or others). Extensive experiments based on both well-known deep networks, GoogLeNet and AlexNet, are conducted on open weather image dataset to evaluate the proposed method and the feasibility has been verified.

原文英語
主出版物標題Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面384-387
頁數4
ISBN(電子)9781538670361
DOIs
出版狀態已發佈 - 2018 7月 2
對外發佈
事件4th International Symposium on Computer, Consumer and Control, IS3C 2018 - Taichung, 臺灣
持續時間: 2018 12月 62018 12月 8

出版系列

名字Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018

會議

會議4th International Symposium on Computer, Consumer and Control, IS3C 2018
國家/地區臺灣
城市Taichung
期間2018/12/062018/12/08

ASJC Scopus subject areas

  • 電腦網路與通信
  • 控制與系統工程
  • 能源工程與電力技術
  • 電腦科學應用
  • 控制和優化
  • 訊號處理

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