{"id":"https://openalex.org/W4396585407","doi":"https://doi.org/10.3390/rs16091627","title":"SWIFT: Simulated Wildfire Images for Fast Training Dataset","display_name":"SWIFT: Simulated Wildfire Images for Fast Training Dataset","publication_year":2024,"publication_date":"2024-05-02","ids":{"openalex":"https://openalex.org/W4396585407","doi":"https://doi.org/10.3390/rs16091627"},"language":"en","primary_location":{"id":"doi:10.3390/rs16091627","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16091627","pdf_url":"https://www.mdpi.com/2072-4292/16/9/1627/pdf?version=1714634891","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/9/1627/pdf?version=1714634891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103244898","display_name":"Luiz Fernando","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Luiz Fernando","raw_affiliation_strings":["Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Universit\u00e9 de Moncton, Moncton, NB E1A 3E9, Canada"],"affiliations":[{"raw_affiliation_string":"Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Universit\u00e9 de Moncton, Moncton, NB E1A 3E9, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014545042","display_name":"Rafik Ghali","orcid":"https://orcid.org/0000-0002-9645-2452"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rafik Ghali","raw_affiliation_strings":["Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Universit\u00e9 de Moncton, Moncton, NB E1A 3E9, Canada"],"affiliations":[{"raw_affiliation_string":"Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Universit\u00e9 de Moncton, Moncton, NB E1A 3E9, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039930829","display_name":"Moulay A. Akhloufi","orcid":"https://orcid.org/0000-0002-4378-2669"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Moulay A. Akhloufi","raw_affiliation_strings":["Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Universit\u00e9 de Moncton, Moncton, NB E1A 3E9, Canada"],"affiliations":[{"raw_affiliation_string":"Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Universit\u00e9 de Moncton, Moncton, NB E1A 3E9, Canada","institution_ids":["https://openalex.org/I154799132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014545042"],"corresponding_institution_ids":["https://openalex.org/I154799132"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.9344,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84123449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"9","first_page":"1627","last_page":"1627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9993000030517578,"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":0.9993000030517578,"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/T10555","display_name":"Fire effects on ecosystems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9922000169754028,"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/swift","display_name":"Swift","score":0.6934378743171692},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6546560525894165},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5627740025520325},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.43875256180763245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41190534830093384},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3966580033302307},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18325597047805786},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1530473530292511}],"concepts":[{"id":"https://openalex.org/C116188536","wikidata":"https://www.wikidata.org/wiki/Q17118377","display_name":"Swift","level":2,"score":0.6934378743171692},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6546560525894165},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5627740025520325},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.43875256180763245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41190534830093384},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3966580033302307},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18325597047805786},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1530473530292511},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16091627","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16091627","pdf_url":"https://www.mdpi.com/2072-4292/16/9/1627/pdf?version=1714634891","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d51bfd4db1748aeabceee97d08b8873","is_oa":true,"landing_page_url":"https://doaj.org/article/3d51bfd4db1748aeabceee97d08b8873","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 9, p 1627 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16091627","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16091627","pdf_url":"https://www.mdpi.com/2072-4292/16/9/1627/pdf?version=1714634891","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396585407.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1909366555","https://openalex.org/W1955601057","https://openalex.org/W1978816960","https://openalex.org/W1996199746","https://openalex.org/W2106074570","https://openalex.org/W2168894097","https://openalex.org/W2340812225","https://openalex.org/W2498969071","https://openalex.org/W2511730936","https://openalex.org/W2527587652","https://openalex.org/W2549139847","https://openalex.org/W2615547864","https://openalex.org/W2733381601","https://openalex.org/W2791997448","https://openalex.org/W2946948417","https://openalex.org/W2957790523","https://openalex.org/W2960178672","https://openalex.org/W2991126022","https://openalex.org/W3000653780","https://openalex.org/W3034172770","https://openalex.org/W3034429256","https://openalex.org/W3053427166","https://openalex.org/W3101542836","https://openalex.org/W3102091122","https://openalex.org/W3126955569","https://openalex.org/W3136217325","https://openalex.org/W3152930111","https://openalex.org/W3164800436","https://openalex.org/W3196908521","https://openalex.org/W3211635651","https://openalex.org/W4214895504","https://openalex.org/W4283323781","https://openalex.org/W4293085461","https://openalex.org/W4293240934","https://openalex.org/W4312250248","https://openalex.org/W4361277442","https://openalex.org/W4361765030","https://openalex.org/W4362671587","https://openalex.org/W4365504037","https://openalex.org/W4382624116","https://openalex.org/W4385466031","https://openalex.org/W4386854843","https://openalex.org/W4386914061","https://openalex.org/W4389128676","https://openalex.org/W4389224949","https://openalex.org/W4390872670","https://openalex.org/W4391034444","https://openalex.org/W4391578771","https://openalex.org/W4391730305","https://openalex.org/W4392303500","https://openalex.org/W6793164127","https://openalex.org/W6801511546","https://openalex.org/W6842218253","https://openalex.org/W6857883294","https://openalex.org/W6862344092"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3198734187","https://openalex.org/W3175001965","https://openalex.org/W2350024083","https://openalex.org/W4250183494","https://openalex.org/W3130985054","https://openalex.org/W608019500","https://openalex.org/W2478736918","https://openalex.org/W3130134152","https://openalex.org/W1968928660"],"abstract_inverted_index":{"Wildland":[0],"fires":[1,141,167],"cause":[2],"economic":[3],"and":[4,21,49,66,70,80,84,100,122,134,142,155,168,182,185],"ecological":[5],"damage":[6],"with":[7,86],"devastating":[8],"consequences,":[9],"including":[10,95,172],"loss":[11],"of":[12,35,42,77,82,175,188,197],"life.":[13],"To":[14],"reduce":[15],"these":[16],"risks,":[17],"numerous":[18],"fire":[19,106,159,191],"detection":[20,187],"recognition":[22],"systems":[23],"using":[24,151,157],"deep":[25,44,128,199],"learning":[26,45,129,200],"techniques":[27,46],"have":[28],"been":[29],"developed.":[30],"However,":[31],"the":[32,40,152,173,176,178,186,195],"limited":[33],"availability":[34],"annotated":[36],"datasets":[37],"has":[38],"decelerated":[39],"development":[41],"reliable":[43],"for":[47,64],"detecting":[48,65],"monitoring":[50],"fires.":[51,71,203],"For":[52],"such,":[53],"a":[54,74],"novel":[55],"dataset,":[56],"namely,":[57,131],"SWIFT,":[58],"is":[59],"presented":[60],"in":[61,164,180,201],"this":[62],"paper":[63],"recognizing":[67,165],"wildland":[68,105,166,190,202],"smoke":[69,83,181],"SWIFT":[72,153],"includes":[73],"large":[75],"number":[76],"synthetic":[78],"images":[79],"videos":[81],"wildfire":[85,183],"their":[87,144],"corresponding":[88],"annotations,":[89],"as":[90,92],"well":[91,163],"environmental":[93],"data,":[94],"temperature,":[96],"humidity,":[97],"wind":[98],"direction,":[99],"speed.":[101],"It":[102],"represents":[103],"various":[104],"scenarios":[107],"collected":[108],"from":[109],"multiple":[110],"viewpoints,":[111],"covering":[112],"forest":[113,140],"interior":[114],"views,":[115,121],"views":[116],"near":[117],"active":[118],"fires,":[119],"ground":[120],"aerial":[123],"views.":[124],"In":[125],"addition,":[126],"three":[127],"models,":[130],"BoucaNet,":[132],"DC-Fire,":[133],"CT-Fire,":[135],"are":[136,149],"adopted":[137],"to":[138],"recognize":[139],"address":[143],"related":[145],"challenges.":[146],"These":[147],"models":[148],"trained":[150],"dataset":[154],"tested":[156],"real":[158],"images.":[160],"BoucaNet":[161],"performed":[162],"overcoming":[169],"challenging":[170],"limitations,":[171],"complexity":[174],"background,":[177],"variation":[179],"features,":[184],"small":[189],"areas.":[192],"This":[193],"shows":[194],"potential":[196],"sim-to-real":[198]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}