{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T22:56:23Z","timestamp":1752101783499,"version":"3.37.3"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100009558","name":"University Natural Science Research Project of Anhui Province","doi-asserted-by":"publisher","award":["19KJB510048"],"award-info":[{"award-number":["19KJB510048"]}],"id":[{"id":"10.13039\/501100009558","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Opening fund for National Key Laboratory of Solid Microstructure Physics in Nanjing University","award":["M30006"],"award-info":[{"award-number":["M30006"]}]},{"name":"the Post-doctoral fund of Jiangsu Province","award":["1701132B"],"award-info":[{"award-number":["1701132B"]}]},{"name":"Opening fun for State Key Laboratory of Severe Weather of China Meteorological Administration","award":["2021LASW-A07"],"award-info":[{"award-number":["2021LASW-A07"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Sign Process Syst"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1007\/s11265-022-01792-1","type":"journal-article","created":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T13:17:10Z","timestamp":1659014230000},"page":"49-56","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Combined Multi-Mode Visibility Detection Algorithm Based on Convolutional Neural Network"],"prefix":"10.1007","volume":"95","author":[{"given":"Mu","family":"Xiyu","sequence":"first","affiliation":[]},{"given":"Xu","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Zhang","family":"Qiang","sequence":"additional","affiliation":[]},{"given":"Ren","family":"Junch","sequence":"additional","affiliation":[]},{"given":"Wang","family":"Hongbin","sequence":"additional","affiliation":[]},{"given":"Zhou","family":"Linyi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"key":"1792_CR1","doi-asserted-by":"crossref","unstructured":"Graves, N., & Newsam, S. (2011). Using visibility cameras to estimate atmospheric light extinction, Applications of Computer Vision (WACV). Kona: IEEE.","DOI":"10.1109\/WACV.2011.5711556"},{"key":"1792_CR2","doi-asserted-by":"crossref","unstructured":"Varjo, S., Kaikkonen, V., Hannuksela, J., et al. (2015). All-in-focus image reconstruction from in-line holograms of snowflakes, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015. Pisa: IEEE.","DOI":"10.1109\/I2MTC.2015.7151424"},{"issue":"1","key":"1792_CR3","first-page":"1","volume":"9","author":"G Li","year":"2014","unstructured":"Li, G., Wu, J. F., & Lei, Z. Y. (2014). Research progress on image smog grade evaluation and defogging technology. Laser Journal, 9(1), 1\u20136.","journal-title":"Laser Journal"},{"issue":"2","key":"1792_CR4","doi-asserted-by":"crossref","first-page":"392","DOI":"10.3390\/s18020392","volume":"18","author":"X Cheng","year":"2018","unstructured":"Cheng, X., Yang, B., Liu, G., et al. (2018a). A total bounded variation approach to Low visibility estimation on expressways. Sensors, 18(2), 392\u2013392.","journal-title":"Sensors"},{"issue":"10","key":"1792_CR5","first-page":"100","volume":"36","author":"Z Jie","year":"2017","unstructured":"Zhou, J. (2017). Study of visibility detection algorithm based on traffic image. Techniques of Automation and Applications, 36(10), 100\u2013103.","journal-title":"Techniques of Automation and Applications"},{"issue":"9","key":"1792_CR6","first-page":"39","volume":"42","author":"C Zhongrong","year":"2019","unstructured":"Chen, Z., Yan, Z., & Yao, Z. (2019). Visibility measurement using dark channel prior method based on adaptive fog concentration coefficient. Modern Electronics Technique, 42(9), 39\u201345.","journal-title":"Modern Electronics Technique"},{"issue":"2","key":"1792_CR7","first-page":"528","volume":"35","author":"L Jianlei","year":"2015","unstructured":"Liu, J., & Liu, X. (2015). Visibility estimation algorithm for fog weather based on inflection point line. Journal of Computer Applications, 35(2), 528\u2013530.","journal-title":"Journal of Computer Applications"},{"key":"1792_CR8","unstructured":"Chen, Z. (2016). PTZ visibility detection based on image luminance changing tendency. International Conference on Optoelectronics & Image Processing. IEEE."},{"issue":"2","key":"1792_CR9","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1109\/TITS.2006.874682","volume":"7","author":"N Hautiere","year":"2006","unstructured":"Hautiere, N., Labayrade, R., & Aubert, D. (2006a). Real-Time Disparity Contrast Combination for Onboard Estimation of the Visibility Distance. IEEE Transactions on Intelligent Transportation Systems, 7(2), 201\u2013212.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"1792_CR10","doi-asserted-by":"crossref","unstructured":"Babari, R., Hautiere, N., Dumont, \u00a3., et al. (2011). A model-driven approach to estimate atmospheric visibility with ordinary cameras. Atmospheric Environment, 45(30), 5316\u20135324.","DOI":"10.1016\/j.atmosenv.2011.06.053"},{"issue":"1","key":"1792_CR11","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.scs.2018.02.001","volume":"39","author":"X Cheng","year":"2018","unstructured":"Cheng, X., Yang, B., Liu, G., et al. (2018b). A variational approach to atmospheric visibility estimation in the weather of fog and haze. Sustainable Cities & Society, 39(1), 215\u2013224.","journal-title":"Sustainable Cities & Society"},{"key":"1792_CR12","unstructured":"Wang, T. (2019). Research on haze visibility detection based on spectrum analysis and improved inception. Nanjing University of Posts and Telecommunications."},{"key":"1792_CR13","unstructured":"Hongjun, L. V. (2019). Research on fog visibility detection algorithms based on deep learning. Nanjing University of Posts and Telecommunications."},{"issue":"1","key":"1792_CR14","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1007\/s00138-005-0011-1","volume":"17","author":"N Hauti\u00e9re","year":"2006","unstructured":"Hauti\u00e9re, N., Tarel, J. P., Lavenant, J., et al. (2006b). Automatic fog detection and estimation of visibility distance through use of an onboard camera. Machine Vision and Applications, 17(1), 8\u201320.","journal-title":"Machine Vision and Applications"},{"key":"1792_CR15","unstructured":"Koschmieder, H. (1924). Theorie der horizontalen Sichtweite: Kontrast und Sichtweite. Keim & Nemnich, pp. 171\u2013181."},{"key":"1792_CR16","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., et al. (2016). Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas: IEEE Computer Society.","DOI":"10.1109\/CVPR.2016.90"},{"key":"1792_CR17","unstructured":"Zagoruyko, S., & Komodakis, N. (2018) DiracNets: Training Very Deep Neural Networks Without Skip-Connections, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Salt Lake: IEEE Computer Society."},{"key":"1792_CR18","doi-asserted-by":"crossref","unstructured":"Zamir, A., Sax, A., Shen, W., et al. (2018). Taskonomy: Disentangling Task Transfer Learning, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Salt Lake: IEEE Computer Society.","DOI":"10.1109\/CVPR.2018.00391"}],"container-title":["Journal of Signal Processing Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-022-01792-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11265-022-01792-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-022-01792-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T19:27:22Z","timestamp":1677612442000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11265-022-01792-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,25]]},"references-count":18,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["1792"],"URL":"https:\/\/doi.org\/10.1007\/s11265-022-01792-1","relation":{},"ISSN":["1939-8018","1939-8115"],"issn-type":[{"type":"print","value":"1939-8018"},{"type":"electronic","value":"1939-8115"}],"subject":[],"published":{"date-parts":[[2022,7,25]]},"assertion":[{"value":"27 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}