{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:11:04Z","timestamp":1730283064469,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"DOI":"10.1109\/mlsp52302.2021.9596249","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T17:53:58Z","timestamp":1636998838000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["An Improved Diracnet Convolutional Neural Network for Haze Visibility Detection"],"prefix":"10.1109","author":[{"given":"Mu","family":"Xiyu","sequence":"first","affiliation":[{"name":"China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China"}]},{"given":"Xu","family":"Qi","sequence":"additional","affiliation":[{"name":"Jiangsu Air Traffic Management Branch Bureau of CAAC,Nanjing,Jiangsu,China"}]},{"given":"Zhang","family":"Qiang","sequence":"additional","affiliation":[{"name":"Meteorology Center of North China Air Traffic Management Bureau, CAAC,Beijing,China"}]},{"given":"Ren","family":"Junchi","sequence":"additional","affiliation":[{"name":"Jiangsu Telecommunication Limited Company, Pukou Branch,Nanjing,Jiangsu,China"}]},{"given":"Wang","family":"Hongbin","sequence":"additional","affiliation":[{"name":"China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China"}]},{"given":"Zhou","family":"Linyi","sequence":"additional","affiliation":[{"name":"China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2011.5711556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2015.7151424"},{"issue":"1","key":"ref3","first-page":"1","article-title":"Research progress on image smog grade evaluation and defogging technology[J]","volume":"9","author":"Li","year":"2014","journal-title":"Laser Journal"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.02.001"},{"issue":"10","key":"ref5","first-page":"100","article-title":"Study of visibility detection algorithm based on traffic image[J]","volume":"36","author":"Jie","year":"2017","journal-title":"Techniques of Automation and Applications"},{"issue":"9","key":"ref6","first-page":"39","article-title":"Visibility measurement using dark channel prior method based on adaptive fog concentration coefficient [J]","volume":"42","author":"Zhongrong","year":"2019","journal-title":"Modern Electronics Technique"},{"issue":"2","key":"ref7","first-page":"528","article-title":"Visibility estimation algorithm for fog weather based on inflection point line[J]","volume":"35","author":"Jianlei","year":"2015","journal-title":"Journal of Computer Applications"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/optip.2016.7528491"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.874682"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2011.06.053"},{"issue":"2","key":"ref11","article-title":"A total bounded variation approach to Low visibility estimation on expressways[J]","volume":"18","author":"Cheng","year":"2018","journal-title":"Sensors"},{"key":"ref12","article-title":"Research on haze visibility detection based on spectrum analysis and improved inception[D]","author":"Tao","year":"2019","journal-title":"Nanjing University of Posts and Telecommunications"},{"key":"ref13","article-title":"Research on fog visibility detection algorithms based on deep learning[D]","author":"Hongjun","year":"2019","journal-title":"Nanjing University of Posts and Telecommunications"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-005-0011-1"},{"volume-title":"DiracNets: Training Very Deep Neural Networks Without Skip-Connections[J]","year":"2017","author":"Zagoruyko","key":"ref15"}],"event":{"name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2021,10,25]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2021,10,28]]}},"container-title":["2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9596063\/9596068\/09596249.pdf?arnumber=9596249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T19:30:48Z","timestamp":1705001448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9596249\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/mlsp52302.2021.9596249","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}