{"id":"https://openalex.org/W4386472811","doi":"https://doi.org/10.1109/jstars.2023.3312515","title":"LFD-Net: Lightweight Feature-Interaction Dehazing Network for Real-Time Remote Sensing Tasks","display_name":"LFD-Net: Lightweight Feature-Interaction Dehazing Network for Real-Time Remote Sensing Tasks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386472811","doi":"https://doi.org/10.1109/jstars.2023.3312515"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3312515","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3312515","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2023.3312515","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013550859","display_name":"Yizhu Jin","orcid":"https://orcid.org/0000-0001-5197-7768"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhu Jin","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5197-7768","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685940","display_name":"Jiaxing Chen","orcid":"https://orcid.org/0009-0002-1997-4246"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxing Chen","raw_affiliation_strings":["National Innovation Center of Intelligent and Connected Vehicles, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-1997-4246","affiliations":[{"raw_affiliation_string":"National Innovation Center of Intelligent and Connected Vehicles, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745511","display_name":"Tian Feng","orcid":"https://orcid.org/0000-0003-4449-8915"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Tian","raw_affiliation_strings":["National Innovation Center of Intelligent and Connected Vehicles, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4449-8915","affiliations":[{"raw_affiliation_string":"National Innovation Center of Intelligent and Connected Vehicles, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037465848","display_name":"Kun Hu","orcid":"https://orcid.org/0000-0001-5044-7327"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Hu","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5044-7327","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.2351,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81950253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"9139","last_page":"9153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965000152587891,"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":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8397760391235352},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7924918532371521},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.645179033279419},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6182615160942078},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6093041896820068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5938183665275574},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46104949712753296},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.43913373351097107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4166383147239685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37402141094207764},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37150418758392334},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08061164617538452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397760391235352},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7924918532371521},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.645179033279419},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6182615160942078},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6093041896820068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5938183665275574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46104949712753296},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.43913373351097107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4166383147239685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37402141094207764},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37150418758392334},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08061164617538452},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3312515","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3312515","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0d347f707e9f4a3dab294bd341858fb4","is_oa":true,"landing_page_url":"https://doaj.org/article/0d347f707e9f4a3dab294bd341858fb4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9139-9153 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3312515","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3312515","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G4755820417","display_name":null,"funder_award_id":"YWF-22-L-1277","funder_id":"https://openalex.org/F4320321125","funder_display_name":"Beihang University"}],"funders":[{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2062993267","https://openalex.org/W2066015174","https://openalex.org/W2073623229","https://openalex.org/W2128254161","https://openalex.org/W2150969685","https://openalex.org/W2256362396","https://openalex.org/W2515866431","https://openalex.org/W2562637781","https://openalex.org/W2752782242","https://openalex.org/W2779176852","https://openalex.org/W2884585870","https://openalex.org/W2892628644","https://openalex.org/W2907674209","https://openalex.org/W2955731188","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2963152299","https://openalex.org/W2963372104","https://openalex.org/W2963928582","https://openalex.org/W2970530557","https://openalex.org/W2985368596","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3008095379","https://openalex.org/W3034278302","https://openalex.org/W3034421924","https://openalex.org/W3035631962","https://openalex.org/W3035713416","https://openalex.org/W3049255424","https://openalex.org/W3080740732","https://openalex.org/W3089720635","https://openalex.org/W3092366023","https://openalex.org/W3105577662","https://openalex.org/W3111785512","https://openalex.org/W3114126472","https://openalex.org/W3129142242","https://openalex.org/W3131391369","https://openalex.org/W3146366485","https://openalex.org/W3157502174","https://openalex.org/W3157506437","https://openalex.org/W3159660641","https://openalex.org/W3189178205","https://openalex.org/W3195087825","https://openalex.org/W3204515269","https://openalex.org/W3208645658","https://openalex.org/W3214227590","https://openalex.org/W4205261430","https://openalex.org/W4205276083","https://openalex.org/W4210834618","https://openalex.org/W4225283797","https://openalex.org/W4283813092","https://openalex.org/W4285808036","https://openalex.org/W4288804646","https://openalex.org/W4312272867","https://openalex.org/W4312625691","https://openalex.org/W4312939270","https://openalex.org/W4327808545","https://openalex.org/W4361759991","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6757526026","https://openalex.org/W6795140394","https://openalex.org/W6800545818","https://openalex.org/W6839854628","https://openalex.org/W6840866624","https://openalex.org/W6840921962"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W2357124094","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W4383681494"],"abstract_inverted_index":{"Currently,":[0],"remote":[1],"sensing":[2],"equipments":[3],"are":[4,176],"evolving":[5],"towards":[6],"intelligence":[7],"and":[8,75,91,166],"integration,":[9],"incorporating":[10],"edge":[11],"computing":[12],"techniques":[13],"to":[14,72,94],"enable":[15],"real-time":[16,171],"responses.":[17],"One":[18],"of":[19,32,104,116,137,168],"the":[20,29,87,135,164],"key":[21],"challenges":[22],"in":[23,53],"enhancing":[24],"downstream":[25],"decision-making":[26],"capabilities":[27],"is":[28,140,155],"pre-processing":[30],"step":[31],"image":[33,131],"dehazing.":[34],"Existing":[35],"dehazing":[36,132],"methods":[37,126],"usually":[38],"suffer":[39],"from":[40],"steep":[41],"computational":[42],"costs":[43],"with":[44,127],"densely":[45],"connected":[46],"residual":[47],"modules,":[48],"as":[49,51],"well":[50],"difficulties":[52],"maintaining":[54],"visual":[55],"quality.":[56],"To":[57],"tackle":[58],"these":[59],"problems,":[60],"we":[61],"designed":[62],"a":[63],"lightweight":[64],"Atmosphere":[65],"Scattering":[66],"Model":[67],"(ASM)":[68],"based":[69,152],"network":[70],"structure":[71],"extract,":[73],"fuse":[74],"weight":[76],"multiscale":[77],"features.":[78],"Our":[79,174],"proposed":[80],"LFD-Net":[81,105,169],"demonstrates":[82],"strong":[83],"interpretability":[84],"by":[85,133,157],"exploiting":[86],"gated":[88],"fusion":[89],"module":[90],"attention":[92],"mechanism":[93],"realize":[95],"feature":[96],"interactions":[97],"between":[98],"multi-level":[99],"representations.":[100],"The":[101,143],"experimental":[102],"results":[103],"on":[106,153,159],"SOTS":[107],"dataset":[108],"reach":[109],"an":[110],"average":[111],"Frequency":[112],"Per":[113],"Second":[114],"(FPS)":[115],"54.41,":[117],"approximately":[118],"8":[119],"times":[120],"faster":[121],"than":[122],"seven":[123],"most":[124],"popular":[125],"equivalent":[128],"metrics.":[129],"After":[130],"LFD-Net,":[134],"performance":[136],"object":[138],"detection":[139],"significantly":[141],"improved.":[142],"mean":[144],"Average":[145],"Precision":[146],"when":[147],"IoU":[148],"=":[149],"0.5":[150],"(mAP@0.5)":[151],"YOLOv5":[154],"improved":[156],"4.73%":[158],"DAIR-V2X":[160],"dataset,":[161],"which":[162],"verified":[163],"practicability":[165],"adaptability":[167],"for":[170],"vision":[172],"tasks.":[173],"codes":[175],"available":[177],"at":[178],"DD00DD":[179],"<uri":[180],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/RacerK/LFD-Net</uri>":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
