{"id":"https://openalex.org/W4220672124","doi":"https://doi.org/10.1145/3512353.3512360","title":"Coal Mine Image Dust and Fog Clearing Algorithm Based on Deep Learning Network","display_name":"Coal Mine Image Dust and Fog Clearing Algorithm Based on Deep Learning Network","publication_year":2022,"publication_date":"2022-01-14","ids":{"openalex":"https://openalex.org/W4220672124","doi":"https://doi.org/10.1145/3512353.3512360"},"language":"en","primary_location":{"id":"doi:10.1145/3512353.3512360","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512353.3512360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th Asia Pacific Information Technology Conference","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/A5088144038","display_name":"Wenbin Feng","orcid":"https://orcid.org/0000-0002-0982-698X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenbin Feng","raw_affiliation_strings":["Shenyang Research Institute Co.Ltd., China"],"affiliations":[{"raw_affiliation_string":"Shenyang Research Institute Co.Ltd., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103137306","display_name":"Xin Tong","orcid":"https://orcid.org/0000-0002-0280-8391"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tong","raw_affiliation_strings":["Beijing Technology and Business University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101330872","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-7357-3932"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Beijing Technology and Business University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033909964","display_name":"Xiuxin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuxin Chen","raw_affiliation_strings":["Beijing Technology and Business University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075985115","display_name":"Chongchong Yu","orcid":"https://orcid.org/0000-0003-4234-1260"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongchong Yu","raw_affiliation_strings":["Beijing Technology and Business University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088144038"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4026,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57248551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"39","issue":null,"first_page":"40","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9882000088691711,"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":0.7180100679397583},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6359283924102783},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.60736483335495},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5550975203514099},{"id":"https://openalex.org/keywords/coal-mining","display_name":"Coal mining","score":0.5413700342178345},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5370306968688965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.525970458984375},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5180023312568665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113624930381775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48058319091796875},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47651684284210205},{"id":"https://openalex.org/keywords/coal","display_name":"Coal","score":0.45031335949897766},{"id":"https://openalex.org/keywords/coal-dust","display_name":"Coal dust","score":0.4142827093601227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4026015102863312},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3207525312900543},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13646042346954346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7180100679397583},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6359283924102783},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.60736483335495},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5550975203514099},{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.5413700342178345},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5370306968688965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.525970458984375},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5180023312568665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113624930381775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48058319091796875},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47651684284210205},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.45031335949897766},{"id":"https://openalex.org/C2776674678","wikidata":"https://www.wikidata.org/wiki/Q1778575","display_name":"Coal dust","level":3,"score":0.4142827093601227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4026015102863312},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3207525312900543},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13646042346954346},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512353.3512360","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512353.3512360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th Asia Pacific Information Technology Conference","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":16,"referenced_works":["https://openalex.org/W1979319585","https://openalex.org/W2028990532","https://openalex.org/W2039574789","https://openalex.org/W2114867966","https://openalex.org/W2128254161","https://openalex.org/W2256362396","https://openalex.org/W2274902100","https://openalex.org/W2366670481","https://openalex.org/W2536722097","https://openalex.org/W2736707178","https://openalex.org/W2916798096","https://openalex.org/W2963152299","https://openalex.org/W2998027019","https://openalex.org/W3018517434","https://openalex.org/W6647720530","https://openalex.org/W6772483941"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2087564795","https://openalex.org/W4386159743","https://openalex.org/W2136313643","https://openalex.org/W1977940492","https://openalex.org/W3136545447"],"abstract_inverted_index":{"The":[0,154],"purpose":[1],"of":[2,23,28,91,115,176],"coal":[3,134,177],"mine":[4,135,178],"dust":[5,136],"fog":[6,138],"image":[7,30,139],"sharpening":[8],"is":[9],"to":[10,20,47,65,72,98,109],"recover":[11],"clear":[12,52],"content":[13],"from":[14],"low":[15],"visibility":[16],"images.":[17,53,179],"In":[18,54],"response":[19],"the":[21,50,74,88,92,99,111,116,127,133,148,158,167,172],"problems":[22],"over-enhancement":[24,168],"and":[25,94,113,132,137,145,170,174],"insufficient":[26],"applicability":[27],"traditional":[29],"defogging":[31],"methods":[32],"based":[33],"on":[34,126],"prior":[35],"knowledge,":[36],"this":[37,55,121,162],"paper":[38,163],"proposed":[39,81,119,160],"an":[40],"end-to-end":[41],"parallel":[42,60],"high-resolution":[43,61],"deep":[44,62],"learning":[45],"network":[46,63,75],"directly":[48],"restore":[49],"final":[51],"network,":[56],"we":[57],"used":[58],"a":[59,82],"structure":[64],"deeply":[66],"integrate":[67],"multi-scale":[68],"features":[69],"between":[70],"branches":[71],"help":[73],"obtain":[76],"contextual":[77],"information.":[78,105],"We":[79],"also":[80],"lightweight":[83],"attention":[84,97],"module,":[85],"which":[86],"reduced":[87],"parameter":[89],"burden":[90],"model":[93],"paid":[95],"more":[96],"target":[100],"area":[101],"when":[102],"extracting":[103],"feature":[104],"Finally,":[106],"in":[107,120,161],"order":[108],"evaluate":[110],"effectiveness":[112],"versatility":[114],"clarification":[117,151],"algorithm":[118,152,159],"paper,":[122],"experiments":[123],"were":[124],"conducted":[125],"public":[128],"data":[129,140],"set":[130,141],"RESIDE":[131],"produced":[142],"by":[143],"myself,":[144],"compared":[146],"with":[147],"existing":[149],"classic":[150],"GCANet.":[153],"results":[155],"show":[156],"that":[157],"can":[164],"effectively":[165],"solve":[166],"phenomenon,":[169],"improve":[171],"clarity":[173],"visualization":[175]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}