{"id":"https://openalex.org/W4416249919","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227770","title":"Label Semantics for Robust Hyperspectral Image Classification","display_name":"Label Semantics for Robust Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249919","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227770"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":null,"display_name":"Rafin Hassan","orcid":null},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Rafin Hassan","raw_affiliation_strings":["North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120365736","display_name":"Zarin Tasnim Roshni","orcid":null},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Zarin Tasnim Roshni","raw_affiliation_strings":["North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064162859","display_name":"Rafiqul Bari","orcid":null},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Rafiqul Bari","raw_affiliation_strings":["North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011376036","display_name":"A.T.M. Saiful Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Alimul Islam","raw_affiliation_strings":["North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062072064","display_name":"Nabeel Mohammed","orcid":"https://orcid.org/0000-0002-7661-3570"},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nabeel Mohammed","raw_affiliation_strings":["North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067223903","display_name":"Moshiur Farazi","orcid":"https://orcid.org/0000-0003-1494-5921"},"institutions":[{"id":"https://openalex.org/I4210105992","display_name":"Qatar Science and Technology Park","ror":"https://ror.org/01gshyb58","country_code":"QA","type":"archive","lineage":["https://openalex.org/I4210105992"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Moshiur Farazi","raw_affiliation_strings":["University of Doha for Science and Technology,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Doha for Science and Technology,Doha,Qatar","institution_ids":["https://openalex.org/I4210105992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085599688","display_name":"Shafin Rahman","orcid":"https://orcid.org/0000-0002-0258-2150"},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shafin Rahman","raw_affiliation_strings":["North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42132536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.914900004863739,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.914900004863739,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.02070000022649765,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.007799999788403511,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7057999968528748},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6462000012397766},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5414000153541565},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49959999322891235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.489300012588501},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4551999866962433},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43380001187324524},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4154999852180481}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7057999968528748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6855999827384949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802999973297119},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6462000012397766},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49959999322891235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40950000286102295},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.39239999651908875},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.35010001063346863},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.2718999981880188},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2596000134944916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2971432438","https://openalex.org/W3023351371","https://openalex.org/W3088464175","https://openalex.org/W3132524115","https://openalex.org/W3158557294","https://openalex.org/W3173748396","https://openalex.org/W3198990876","https://openalex.org/W4288391575","https://openalex.org/W4292828962","https://openalex.org/W4320497093","https://openalex.org/W4387930662","https://openalex.org/W4392446618","https://openalex.org/W4396887364","https://openalex.org/W4399565491","https://openalex.org/W4399653302","https://openalex.org/W4400058414","https://openalex.org/W4400521109","https://openalex.org/W4401047240","https://openalex.org/W4401173336","https://openalex.org/W4401933376","https://openalex.org/W4402061032","https://openalex.org/W4402118830","https://openalex.org/W4402132972","https://openalex.org/W4402133417","https://openalex.org/W4402259070","https://openalex.org/W4402312633","https://openalex.org/W4402544014","https://openalex.org/W4402734742","https://openalex.org/W4402749983","https://openalex.org/W4403301606","https://openalex.org/W4403500784","https://openalex.org/W4403569336","https://openalex.org/W4403827182"],"related_works":[],"abstract_inverted_index":{"Hyperspectral":[0,184],"imaging":[1],"(HSI)":[2],"classification":[3,40,60,106,164,216],"is":[4],"a":[5,86,135,139,158],"critical":[6],"tool":[7],"with":[8],"widespread":[9],"applications":[10],"across":[11],"diverse":[12,179],"fields":[13],"such":[14,143],"as":[15,144],"agriculture,":[16],"environmental":[17],"monitoring,":[18],"medicine,":[19],"and":[20,32,46,53,126,188,190,203],"materials":[21],"science.":[22],"Due":[23],"to":[24,44,71,99,112,148,157],"the":[25,33,76,101,168,198,207],"limited":[26],"availability":[27],"of":[28,36,58,103,170],"high-quality":[29],"training":[30,102],"samples":[31],"high":[34,77],"dimensionality":[35],"spectral":[37,127],"data,":[38,205],"HSI":[39,59,105,180,215],"models":[41,61],"are":[42,62,131,219],"prone":[43],"overfitting":[45],"often":[47],"face":[48],"challenges":[49],"in":[50,75,154,212],"balancing":[51],"accuracy":[52],"computational":[54],"complexity.":[55],"Furthermore,":[56],"most":[57],"mono-modal,":[63],"where":[64],"it":[65],"solely":[66],"relies":[67],"on":[68,177],"spectral-spatial":[69,204],"data":[70],"learn":[72],"decision":[73],"boundaries":[74],"dimensional":[78],"embedding":[79],"space.":[80],"To":[81,166],"address":[82],"this,":[83],"we":[84,173],"propose":[85],"general-purpose":[87],"Semantic":[88],"Spectral-Spatial":[89],"Fusion":[90],"Network":[91],"(S3FN)":[92],"that":[93,121],"uses":[94],"contextual,":[95],"classspecific":[96],"textual":[97,115,201],"descriptions":[98,116,130],"complement":[100],"an":[104],"model.":[107],"Specifically,":[108],"S3FN":[109],"leverages":[110],"LLMs":[111],"generate":[113],"comprehensive":[114],"for":[117,162,209],"each":[118],"class":[119],"label":[120,151],"captures":[122],"their":[123],"unique":[124],"characteristics":[125],"behaviors.":[128],"These":[129],"then":[132],"embedded":[133],"into":[134],"vector":[136],"space":[137],"using":[138],"pre-trained":[140],"text":[141],"encoder":[142],"BERT":[145],"or":[146],"RoBERTa":[147],"extract":[149],"meaningful":[150],"semantics":[152,202],"which":[153],"turn":[155],"leads":[156],"better":[159],"feature-label":[160],"alignment":[161],"improved":[163],"performance.":[165],"demonstrate":[167],"effectiveness":[169],"our":[171,175],"approach,":[172],"evaluate":[174],"model":[176],"three":[178],"benchmark":[181],"datasets":[182],"\u2014":[183],"Wood":[185],",":[186],"HyperspectralBlueberries,":[187],"DeepHS-Fruit":[189],"report":[191],"significant":[192],"performance":[193],"boost.":[194],"Our":[195],"results":[196],"highlight":[197],"synergy":[199],"between":[200],"paving":[206],"way":[208],"further":[210],"advancements":[211],"semantically":[213],"augmented":[214],"models.":[217],"Codes":[218],"be":[220],"available":[221],"in:":[222],"https://github.com/milab-nsu/S3FN":[223]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-14T00:00:00"}
