{"id":"https://openalex.org/W4404180313","doi":"https://doi.org/10.1109/bcd61269.2024.10743078","title":"Optimizing Deep Learning Accuracy: Visibility Filtering Approach for Early Wildfire Detection in Forest Sensor Images","display_name":"Optimizing Deep Learning Accuracy: Visibility Filtering Approach for Early Wildfire Detection in Forest Sensor Images","publication_year":2024,"publication_date":"2024-07-16","ids":{"openalex":"https://openalex.org/W4404180313","doi":"https://doi.org/10.1109/bcd61269.2024.10743078"},"language":"en","primary_location":{"id":"doi:10.1109/bcd61269.2024.10743078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bcd61269.2024.10743078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 9th International Conference on Big Data, Cloud Computing, and Data Science (BCD)","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/A5095866812","display_name":"Nafeeul Alam Walee","orcid":null},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nafeeul Alam Walee","raw_affiliation_strings":["College of Engineering and Computing, Georgia Southern University,Statesboro,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computing, Georgia Southern University,Statesboro,GA,USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046844826","display_name":"Atef Shalan","orcid":null},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atef Shalan","raw_affiliation_strings":["College of Engineering and Computing, Georgia Southern University,Statesboro,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computing, Georgia Southern University,Statesboro,GA,USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019421021","display_name":"Christopher Kadlec","orcid":null},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Kadlec","raw_affiliation_strings":["College of Engineering and Computing, Georgia Southern University,Statesboro,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computing, Georgia Southern University,Statesboro,GA,USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090279459","display_name":"Munshi Khaledur Rahman","orcid":"https://orcid.org/0000-0002-4769-0876"},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Munshi Khaledur Rahman","raw_affiliation_strings":["School of Earth, Environment and Sustainability, Georgia Southern University,Statesboro,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth, Environment and Sustainability, Georgia Southern University,Statesboro,GA,USA","institution_ids":["https://openalex.org/I39815113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9011,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71488116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9563000202178955,"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":0.9491000175476074,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.8419779539108276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671883463859558},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6105945110321045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5957959890365601},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5314257144927979},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.49178197979927063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45176130533218384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34828293323516846},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1825612485408783},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17337113618850708}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.8419779539108276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671883463859558},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6105945110321045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5957959890365601},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5314257144927979},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.49178197979927063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45176130533218384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34828293323516846},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1825612485408783},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17337113618850708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bcd61269.2024.10743078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bcd61269.2024.10743078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 9th International Conference on Big Data, Cloud Computing, and Data Science (BCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1586598507","https://openalex.org/W2913649977","https://openalex.org/W3117369113","https://openalex.org/W4226031070","https://openalex.org/W4280624600","https://openalex.org/W4296444022","https://openalex.org/W4308659722","https://openalex.org/W4360994489","https://openalex.org/W4388449522","https://openalex.org/W4391217038","https://openalex.org/W4399529810","https://openalex.org/W4402572549"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4394984040","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Due":[0,80],"to":[1,65,74,81,125,143],"the":[2,8,26,67,76,82,139,182,198],"destruction":[3],"caused":[4],"by":[5,154,166,201],"wildfires":[6,20,103],"underscores":[7],"critical":[9],"need":[10],"for":[11,58,101,117,191],"proactive":[12],"wildfire":[13,87,186],"management":[14],"strategies.":[15],"Particularly,":[16],"early":[17,60,147,185],"detection":[18,88],"of":[19,70,84,149,184],"can":[21],"mitigate":[22],"their":[23,105],"impact":[24],"on":[25,43,53],"environment":[27],"and":[28,31,45,123,174,194],"economic":[29],"loss":[30],"save":[32],"human":[33],"lives.":[34],"This":[35,62],"research":[36,51],"study":[37,63,178],"builds":[38],"upon":[39],"our":[40],"prior":[41],"work":[42],"refining":[44],"improving":[46],"identifying":[47],"early-stage":[48],"wildfires.":[49,61],"Previous":[50],"focused":[52],"using":[54],"a":[55,93,127,135],"deep-learning":[56],"model":[57,162],"detecting":[59,102,146],"aims":[64],"classify":[66],"visibility":[68],"levels":[69],"forest":[71,95],"sensory":[72,96],"images":[73,97,152],"improve":[75],"deep":[77,129],"learning":[78,130],"model.":[79,131],"constraints":[83],"existing":[85],"public":[86],"datasets,":[89],"we":[90],"have":[91,109],"created":[92],"specialized":[94],"dataset":[98],"tailored":[99],"specifically":[100],"in":[104,138,145,151,180],"initial":[106],"stages.":[107],"We":[108],"used":[110],"an":[111],"Open-source":[112],"computer":[113],"vision":[114],"library":[115],"(OpenCV)":[116],"image":[118],"processing":[119],"integrated":[120],"with":[121,197],"TensorFlow":[122],"Keras":[124],"create":[126],"hybrid":[128],"The":[132,158,177],"results":[133],"showed":[134],"significant":[136],"improvement":[137],"accuracy":[140],"from":[141],"84%":[142],"87%":[144],"spots":[148],"fire":[150],"captured":[153],"surveillance":[155],"cameras":[156],"or/satellites.":[157],"Convolutional":[159],"Neural":[160],"Network":[161],"has":[163],"been":[164],"evaluated":[165],"crucial":[167],"classification":[168],"metrics,":[169],"including":[170],"accuracy,":[171],"precision,":[172],"recall,":[173],"f1":[175],"values.":[176],"aids":[179],"progressing":[181],"efficacy":[183],"detection,":[187],"furnishing":[188],"valuable":[189],"perspectives":[190],"urban":[192],"centers":[193],"nations":[195],"contending":[196],"dangers":[199],"presented":[200],"these":[202],"catastrophic":[203],"natural":[204],"events.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
