{"id":"https://openalex.org/W4416123882","doi":"https://doi.org/10.1016/j.imavis.2026.106054","title":"Discriminative feature distillation via correlation alignment and triplet constraints for image retrieval in wildfire scenarios","display_name":"Discriminative feature distillation via correlation alignment and triplet constraints for image retrieval in wildfire scenarios","publication_year":2026,"publication_date":"2026-06-08","ids":{"openalex":"https://openalex.org/W4416123882","doi":"https://doi.org/10.1016/j.imavis.2026.106054"},"language":"en","primary_location":{"id":"doi:10.1016/j.imavis.2026.106054","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.106054","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.imavis.2026.106054","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092919426","display_name":"Ioanna Valsamara","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioanna Valsamara","raw_affiliation_strings":["Aristotle University of Thessaloniki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Pitas","raw_affiliation_strings":["Aristotle University of Thessaloniki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5092919426"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":{"value":2270,"currency":"USD","value_usd":2270},"apc_paid":{"value":2270,"currency":"USD","value_usd":2270},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00531242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"173","issue":null,"first_page":"106054","last_page":"106054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.4474000036716461,"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":0.4474000036716461,"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":0.2721000015735626,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.023399999365210533,"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/discriminative-model","display_name":"Discriminative model","score":0.739300012588501},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6538000106811523},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5946999788284302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5623999834060669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4726000130176544},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4724999964237213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4546999931335449},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3905999958515167},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.3874000012874603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559000253677368},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.739300012588501},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6538000106811523},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5946999788284302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5853000283241272},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4724999964237213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4659999907016754},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4546999931335449},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4327000081539154},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3862000107765198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35989999771118164},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.2797999978065491},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27379998564720154},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.imavis.2026.106054","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.106054","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.5737530","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.5737530","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1016/j.imavis.2026.106054","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.106054","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W2163922914","https://openalex.org/W2297338375","https://openalex.org/W2551744365","https://openalex.org/W2747765175","https://openalex.org/W2997006708","https://openalex.org/W2998702515","https://openalex.org/W3034368386","https://openalex.org/W3045672834","https://openalex.org/W3175205795","https://openalex.org/W4281486775","https://openalex.org/W4397291110","https://openalex.org/W4402892344"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,10,23,39,71,95,104,111,133,149,161],"efficient":[2],"image":[3,19,59,88],"retrieval":[4,51,152,172],"is":[5,21],"vital":[6],"for":[7,64,86,117,180],"wildfire":[8,35,147],"monitoring":[9],"Natural":[11],"Disaster":[12],"Management":[13],"(NDM).":[14],"During":[15],"an":[16],"outbreak,":[17],"new":[18],"data":[20],"captured":[22],"requires":[24],"to":[25,30],"be":[26],"processed":[27],"very":[28],"fast":[29],"enable":[31],"rapid":[32],"localization":[33],"of":[34,46],"outbreaks,":[36],"smoke":[37],"plumes,":[38],"burned":[40],"regions,":[41],"as":[42,44,109],"well":[43],"assessment":[45],"fire":[47],"severity.":[48],"However,":[49],"existing":[50],"systems":[52],"rarely":[53],"exploit":[54],"spatial":[55,125],"correlation":[56,80,126],"information":[57],"within":[58],"feature":[60],"maps\u2014an":[61],"important":[62],"cue":[63],"capturing":[65],"fine-grained":[66],"structural":[67,96],"patterns":[68],"in":[69,183],"aerial":[70],"satellite":[72],"imagery.":[73],"In":[74],"this":[75],"work,":[76],"we":[77],"propose":[78],"a":[79],"alignment":[81],"knowledge":[82,97],"distillation":[83],"framework":[84],"tailored":[85],"disaster":[87,185],"retrieval.":[89],"Our":[90],"approach":[91,145],"transfers":[92],"both":[93],"semantic":[94],"from":[98],"high-capacity":[99],"teacher":[100],"models\u2014including":[101],"large":[102],"vision-language":[103],"self-supervised":[105],"foundation":[106],"models":[107],"such":[108],"CLIP":[110],"DINO\u2014to":[112],"lightweight":[113],"student":[114],"networks":[115],"optimized":[116],"deployment.":[118],"By":[119],"combining":[120],"triplet-based":[121],"metric":[122],"learning":[123],"with":[124],"alignment,":[127],"the":[128],"proposed":[129],"method":[130,169],"produces":[131],"discriminative":[132],"retrieval-effective":[134],"features":[135],"while":[136],"significantly":[137],"reducing":[138],"DNN":[139],"model":[140],"complexity.":[141],"We":[142],"evaluate":[143],"our":[144,168],"on":[146],"imagery":[148],"extended":[150],"large-scale":[151],"datasets":[153],"that":[154,167],"simulate":[155],"real-world":[156],"conditions,":[157,176],"including":[158],"class":[159],"imbalance":[160],"high":[162],"intra-class":[163],"variability.":[164],"Results":[165],"demonstrate":[166],"maintains":[170],"strong":[171],"performance":[173],"under":[174],"resource-limited":[175],"making":[177],"it":[178],"suitable":[179],"operational":[181],"use":[182],"natural":[184],"response":[186],"systems.":[187]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-11-12T00:00:00"}