{"id":"https://openalex.org/W3213968682","doi":"https://doi.org/10.1109/mlsp52302.2021.9596249","title":"An Improved Diracnet Convolutional Neural Network for Haze Visibility Detection","display_name":"An Improved Diracnet Convolutional Neural Network for Haze Visibility Detection","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3213968682","doi":"https://doi.org/10.1109/mlsp52302.2021.9596249","mag":"3213968682"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp52302.2021.9596249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101842949","display_name":"Xiyu Mu","orcid":"https://orcid.org/0000-0001-8442-1635"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mu Xiyu","raw_affiliation_strings":["China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China","Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100895781","display_name":"Qi Xu","orcid":"https://orcid.org/0009-0001-4881-3049"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Qi","raw_affiliation_strings":["Jiangsu Air Traffic Management Branch Bureau of CAAC,Nanjing,Jiangsu,China","Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","Jiangsu Air Traffic Management Branch Bureau of CAAC, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Air Traffic Management Branch Bureau of CAAC,Nanjing,Jiangsu,China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Jiangsu Air Traffic Management Branch Bureau of CAAC, Nanjing, Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381999","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-3776-9799"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Qiang","raw_affiliation_strings":["Meteorology Center of North China Air Traffic Management Bureau, CAAC,Beijing,China","Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","Meteorology Center of North China Air Traffic Management Bureau, CAAC, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meteorology Center of North China Air Traffic Management Bureau, CAAC,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Meteorology Center of North China Air Traffic Management Bureau, CAAC, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098313393","display_name":"Ren Junchi","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210110032","display_name":"Jiangsu Provincial Posts & Telecommunications Planning & Design Institute (China)","ror":"https://ror.org/01vg4mj91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210110032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Junchi","raw_affiliation_strings":["Jiangsu Telecommunication Limited Company, Pukou Branch,Nanjing,Jiangsu,China","Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","Jiangsu Telecommunication Limited Company, Pukou Branch, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Telecommunication Limited Company, Pukou Branch,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I4210110032"]},{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Telecommunication Limited Company, Pukou Branch, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I4210110032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332076","display_name":"Hongbin Wang","orcid":"https://orcid.org/0000-0001-5273-3618"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Hongbin","raw_affiliation_strings":["China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China","Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu, China","Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103165849","display_name":"Linyi Zhou","orcid":"https://orcid.org/0009-0002-4955-172X"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Linyi","raw_affiliation_strings":["China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China","Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu, China","Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Meteorological Administration,Key Laboratory of Transportation Meteorology,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I141301092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101842949"],"corresponding_institution_ids":["https://openalex.org/I141301092"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65825163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.9345272779464722},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.874736487865448},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.8657757043838501},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7899854183197021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7049067616462708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5718943476676941},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43398359417915344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4158726930618286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4116179943084717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3206852078437805},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06395742297172546}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.9345272779464722},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.874736487865448},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.8657757043838501},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7899854183197021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049067616462708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5718943476676941},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43398359417915344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4158726930618286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4116179943084717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3206852078437805},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06395742297172546},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp52302.2021.9596249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1543970237","https://openalex.org/W1992345060","https://openalex.org/W2120268610","https://openalex.org/W2164719400","https://openalex.org/W2167917713","https://openalex.org/W2494613746","https://openalex.org/W2785180216","https://openalex.org/W2792150483"],"related_works":["https://openalex.org/W2377479197","https://openalex.org/W4360602179","https://openalex.org/W2360189371","https://openalex.org/W2898303697","https://openalex.org/W2310037518","https://openalex.org/W3111225517","https://openalex.org/W2357703469","https://openalex.org/W2383404717","https://openalex.org/W2363003319","https://openalex.org/W2014511279"],"abstract_inverted_index":{"The":[0,101],"visibility":[1,29,74,87,93],"reduction":[2],"caused":[3],"by":[4],"haze":[5,28,86,92],"is":[6,22,32,77],"a":[7,16,27],"serious":[8],"hazard":[9],"to":[10,34],"traffic":[11],"safety.":[12],"In":[13],"this":[14],"paper,":[15],"new":[17],"DiracNet":[18,73,113],"convolutional":[19,114],"neural":[20,115],"network":[21,116],"improved,":[23],"based":[24],"on":[25,50],"which":[26],"detection":[30,47,75,94],"method":[31],"constructed":[33],"overcome":[35],"the":[36,40,46,51,54,59,68,71,80,84,90,106,111],"overfitting":[37],"phenomenon,":[38],"reduce":[39],"training":[41],"time,":[42],"and":[43,89,98,108],"subsequently":[44],"improve":[45],"accuracy.":[48],"Based":[49],"massive":[52],"data,":[53],"validation":[55,103],"results":[56,104],"show":[57],"that":[58],"mean":[60],"absolute":[61],"percentage":[62],"error":[63],"(MAPE)":[64],"value":[65],"obtained":[66],"from":[67],"test":[69],"of":[70,83,110],"improved":[72,112],"algorithm":[76,88,102],"2.24%,":[78],"while":[79],"MAPE":[81],"values":[82],"ResNet-based":[85],"DiracNet-based":[91],"algorithms":[95],"are":[96],"5.72%":[97],"4.73%,":[99],"respectively.":[100],"prove":[105],"effectiveness":[107],"superiority":[109],"algorithm.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
