{"id":"https://openalex.org/W4411358553","doi":"https://doi.org/10.1109/lgrs.2025.3580564","title":"A Lightweight Forest Fire Detection Method Based on UAV Dual-Modal Images","display_name":"A Lightweight Forest Fire Detection Method Based on UAV Dual-Modal Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411358553","doi":"https://doi.org/10.1109/lgrs.2025.3580564"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3580564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3580564","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5007945440","display_name":"Lingxia Mu","orcid":"https://orcid.org/0000-0002-6466-5277"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingxia Mu","raw_affiliation_strings":["Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024229633","display_name":"Yichi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichi Yang","raw_affiliation_strings":["Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416422","display_name":"Youmin Zhang","orcid":"https://orcid.org/0000-0002-9731-5943"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Youmin Zhang","raw_affiliation_strings":["Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada","Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101095329","display_name":"Xianghong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghong Xue","raw_affiliation_strings":["Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021454330","display_name":"Nan Feng","orcid":"https://orcid.org/0009-0001-5615-0505"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Feng","raw_affiliation_strings":["School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007945440"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":1.2417,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7903368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9736999869346619,"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"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9736999869346619,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6792036294937134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6706234216690063},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6360608339309692},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5623358488082886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40621358156204224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38664722442626953},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1851460337638855}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6792036294937134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6706234216690063},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6360608339309692},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5623358488082886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40621358156204224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38664722442626953},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1851460337638855},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3580564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3580564","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4000000059604645,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G7576273326","display_name":null,"funder_award_id":"2024Z0710T6002","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G8236102566","display_name":null,"funder_award_id":"2024-AAIE-KF03-02","funder_id":"https://openalex.org/F4320311687","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1852719163","https://openalex.org/W3123352549","https://openalex.org/W4293066115","https://openalex.org/W4294042832","https://openalex.org/W4312250248","https://openalex.org/W4312387975","https://openalex.org/W4315474767","https://openalex.org/W4318824689","https://openalex.org/W4386047745","https://openalex.org/W4386066847","https://openalex.org/W4386076325","https://openalex.org/W4388240518","https://openalex.org/W4391512973","https://openalex.org/W4396605531","https://openalex.org/W4399261724","https://openalex.org/W4400071697","https://openalex.org/W4404294084","https://openalex.org/W4406322613","https://openalex.org/W6796538260","https://openalex.org/W6798838024","https://openalex.org/W6868582632","https://openalex.org/W6873881505","https://openalex.org/W6877138805","https://openalex.org/W6950310954"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,100],"paper":[1],"presents":[2],"a":[3,31,146],"lightweight":[4,61,87,177],"method":[5,134],"for":[6,184],"detecting":[7],"forest":[8,131,185],"fires":[9],"using":[10],"dual-modal":[11,62,130],"remote":[12],"sensing":[13],"images":[14],"captured":[15],"by":[16,85],"an":[17],"unmanned":[18],"aerial":[19],"vehicle":[20],"(UAV).":[21],"The":[22,36,77,114],"aim":[23],"is":[24,40,68,141],"to":[25,70],"achieve":[26],"efficient":[27],"fire":[28,132],"monitoring":[29],"on":[30,42,118,161],"computationally":[32],"resource-constrained":[33],"UAV":[34],"platform.":[35],"proposed":[37,129],"detection":[38,104,133,169,182],"network":[39,54],"based":[41],"the":[43,57,86,92,95,103,107,111,119,125,128,138,162,168,180],"improved":[44],"YOLOv8,":[45],"which":[46,144],"uses":[47],"RGB":[48,73],"image":[49,52],"and":[50,74,137,151],"thermal":[51,75],"as":[53],"input":[55],"at":[56],"same":[58],"time.":[59],"A":[60],"feature":[63],"fusion":[64],"module":[65,80,88,98],"named":[66],"DFM":[67],"designed":[69],"effectively":[71],"combine":[72],"features.":[76],"existing":[78],"C2f":[79],"in":[81],"YOLOv8":[82],"was":[83],"replaced":[84],"C2f-F,":[89],"along":[90],"with":[91,156],"addition":[93],"of":[94,106,127,153],"parameter-free":[96],"attention":[97],"SimAM.":[99],"improvement":[101],"improves":[102],"performance":[105],"model":[108,112,139],"while":[109],"minimizing":[110],"parameters.":[113],"evaluation":[115],"experimental":[116],"results":[117],"FLAME":[120],"2":[121],"dataset":[122],"show":[123],"that":[124,175],"accuracy":[126,150],"reaches":[135,171],"98.4%,":[136],"size":[140],"only":[142],"2.9MB,":[143],"achieves":[145],"good":[147],"balance":[148],"between":[149],"number":[152],"parameters":[154],"compared":[155],"other":[157],"mainstream":[158],"methods.":[159],"Additionally,":[160],"iCrest":[163],"2-s":[164],"edge":[165],"computing":[166],"device,":[167],"speed":[170],"20.67FPS,":[172],"further":[173],"confirming":[174],"this":[176],"approach":[178],"satisfies":[179],"real-time":[181],"requirements":[183],"fires.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}