{"id":"https://openalex.org/W3214387656","doi":"https://doi.org/10.1109/iciscae52414.2021.9590809","title":"Research on the Influence of Dehazing Algorithm on YOLOv3 Target Recognition","display_name":"Research on the Influence of Dehazing Algorithm on YOLOv3 Target Recognition","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3214387656","doi":"https://doi.org/10.1109/iciscae52414.2021.9590809","mag":"3214387656"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae52414.2021.9590809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae52414.2021.9590809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5101826189","display_name":"Xiaozheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaozheng Zhang","raw_affiliation_strings":["Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102780663","display_name":"Zhe Jiang","orcid":"https://orcid.org/0000-0002-8509-3167"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Jiang","raw_affiliation_strings":["Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867659","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0002-1700-1208"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069894572","display_name":"Xuebing Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebing Ren","raw_affiliation_strings":["Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Control Technology, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101826189"],"corresponding_institution_ids":["https://openalex.org/I4210145005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15104575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"471","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759614109992981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323111653327942},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.5851479172706604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5620861053466797},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4732292890548706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4202273190021515},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4136737585067749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4029456377029419},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3808165192604065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1323293149471283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759614109992981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323111653327942},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.5851479172706604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5620861053466797},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4732292890548706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4202273190021515},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4136737585067749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4029456377029419},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3808165192604065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1323293149471283},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae52414.2021.9590809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae52414.2021.9590809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1992345060","https://openalex.org/W2003709967","https://openalex.org/W2097900287","https://openalex.org/W2098985238","https://openalex.org/W2102605133","https://openalex.org/W2121880036","https://openalex.org/W2570343428","https://openalex.org/W2763734273","https://openalex.org/W2796347433","https://openalex.org/W2963037989"],"related_works":["https://openalex.org/W4237735386","https://openalex.org/W2982638676","https://openalex.org/W2622554317","https://openalex.org/W2006198159","https://openalex.org/W1603973577","https://openalex.org/W2114667878","https://openalex.org/W2159871081","https://openalex.org/W2082294883","https://openalex.org/W2155138846","https://openalex.org/W2405544836"],"abstract_inverted_index":{"The":[0,83],"YOLOv3":[1,23,65],"target":[2,69,95],"recognition":[3,19,48,70,96],"algorithm":[4,24,45,66,101],"has":[5],"a":[6,43],"wide":[7],"range":[8],"of":[9,21],"applications":[10],"in":[11],"various":[12],"fields.":[13],"Under":[14],"the":[15,18,22,47,88,94,99],"haze":[16],"conditions,":[17],"effect":[20],"is":[25],"affected,":[26],"and":[27,60,80,98],"its":[28],"mAP":[29,77],"value":[30],"decreases":[31],"significantly.":[32],"To":[33],"solve":[34],"this":[35,51],"problem,":[36],"it":[37],"can":[38,92],"be":[39],"improved":[40],"by":[41],"adding":[42],"dehazing":[44,56,90],"before":[46],"algorithm.":[49],"In":[50],"paper,":[52],"three":[53,89],"commonly":[54],"used":[55],"algorithms":[57,91],"are":[58,62],"studied,":[59],"they":[61],"combined":[63],"with":[64],"to":[67],"perform":[68],"experiments":[71],"on":[72],"hazing":[73],"images.":[74],"Solve":[75],"their":[76],"values":[78],"separately":[79],"compare":[81],"them.":[82],"results":[84],"show":[85],"that":[86],"all":[87],"improve":[93],"ability,":[97],"Retinex":[100],"works":[102],"best.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}