{"id":"https://openalex.org/W4391527022","doi":"https://doi.org/10.1145/3639390.3639397","title":"A Vehicle Detection Method under Strong Infrared Radiation Interference","display_name":"A Vehicle Detection Method under Strong Infrared Radiation Interference","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4391527022","doi":"https://doi.org/10.1145/3639390.3639397"},"language":"en","primary_location":{"id":"doi:10.1145/3639390.3639397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639390.3639397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Video and Image Processing","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/A5064920172","display_name":"Y.L. Zhang","orcid":"https://orcid.org/0009-0002-3789-9614"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0002-3789-9614","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102975386","display_name":"Ziyi Chen","orcid":"https://orcid.org/0009-0003-3589-4702"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Chen","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0003-3589-4702","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031753299","display_name":"Luping Wang","orcid":"https://orcid.org/0000-0002-8799-7602"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Wang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0002-8799-7602","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039908609","display_name":"Wuming Wu","orcid":"https://orcid.org/0009-0007-8946-8564"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuming Wu","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0007-8946-8564","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18776621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9959999918937683,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/interference","display_name":"Interference (communication)","score":0.7489089965820312},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6285721659660339},{"id":"https://openalex.org/keywords/radiation","display_name":"Radiation","score":0.5070750713348389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41636717319488525},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35555917024612427},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3313145339488983},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.269082248210907},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24711719155311584},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12157213687896729}],"concepts":[{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.7489089965820312},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6285721659660339},{"id":"https://openalex.org/C153385146","wikidata":"https://www.wikidata.org/wiki/Q18335","display_name":"Radiation","level":2,"score":0.5070750713348389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41636717319488525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35555917024612427},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3313145339488983},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.269082248210907},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24711719155311584},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12157213687896729},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639390.3639397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639390.3639397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1964859077","https://openalex.org/W1982471090","https://openalex.org/W2012554041","https://openalex.org/W2046119925","https://openalex.org/W2063754679","https://openalex.org/W2064000601","https://openalex.org/W2069744419","https://openalex.org/W2074709600","https://openalex.org/W2080801136","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2102605133","https://openalex.org/W2103559027","https://openalex.org/W2126621890","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2147298660","https://openalex.org/W2159269332","https://openalex.org/W2164847484","https://openalex.org/W2170608748","https://openalex.org/W2566376500","https://openalex.org/W2752277642","https://openalex.org/W2913384558","https://openalex.org/W2963037989","https://openalex.org/W3097096317","https://openalex.org/W4225685296","https://openalex.org/W4226284221","https://openalex.org/W4230599523","https://openalex.org/W4288062446","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W2374614594","https://openalex.org/W782553550","https://openalex.org/W2375786911","https://openalex.org/W2094759408","https://openalex.org/W2633218168","https://openalex.org/W2967276674","https://openalex.org/W2059707233","https://openalex.org/W4235897794","https://openalex.org/W2391549584"],"abstract_inverted_index":{"Strong":[0],"infrared":[1,40,50,79,132,143],"radiation":[2,51,80,144],"interference":[3,9,52],"is":[4],"a":[5,99],"common":[6],"type":[7],"of":[8,24,48,60],"in":[10,53],"optoelectronic":[11,62],"countermeasures.":[12],"An":[13],"optical":[14],"system":[15,41],"exposed":[16],"to":[17,37,55,72,88,116],"strong":[18,49,78,142],"light":[19],"would":[20],"disrupt":[21],"the":[22,30,46,57,61,67,74,90,123],"acquisition":[23],"image":[25,92,114],"information":[26],"and":[27,97,108],"even":[28],"damage":[29,75],"device.":[31],"In":[32],"this":[33,136],"paper,":[34],"we":[35,65,83,104,121],"aim":[36],"design":[38],"an":[39],"for":[42,113,126],"object":[43,127],"detection":[44],"under":[45,141],"circumstances":[47],"order":[54],"enhance":[56],"countermeasure":[58],"capability":[59],"system.":[63],"Firstly,":[64],"introduce":[66],"Wave-front":[68],"Coding":[69],"(WFC)":[70],"technique":[71],"attenuate":[73],"caused":[76,93],"by":[77,94],"interference.":[81,145],"Secondly,":[82],"use":[84,105,122],"L\u2082":[85],"(Tikhonov)":[86],"regularization":[87],"restore":[89],"blurred":[91],"wavefront":[95],"coding":[96],"obtain":[98],"clear":[100],"low-light":[101],"image.":[102],"Thirdly,":[103],"Recursively":[106],"Separated":[107],"Weighted":[109],"Histogram":[110],"Equalization":[111],"(RSWHE)":[112],"enhancement":[115],"improve":[117],"its":[118],"contrast.":[119],"Finally,":[120],"YOLOv8":[124],"algorithm":[125],"detection.":[128],"Experiments":[129],"on":[130],"real":[131],"images":[133],"show":[134],"that":[135],"scheme":[137],"has":[138],"outstanding":[139],"performance":[140]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}