{"id":"https://openalex.org/W4410393683","doi":"https://doi.org/10.1109/access.2025.3570629","title":"Leveraging a Vision Transformer and Adversarial Unsupervised Domain Adaptation to Generate the NIR Band on Out-of-Domain VHR RGB","display_name":"Leveraging a Vision Transformer and Adversarial Unsupervised Domain Adaptation to Generate the NIR Band on Out-of-Domain VHR RGB","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410393683","doi":"https://doi.org/10.1109/access.2025.3570629"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3570629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3570629","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3570629","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086993315","display_name":"Viktoria Kristollari","orcid":"https://orcid.org/0000-0001-5112-4079"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Viktoria Kristollari","raw_affiliation_strings":["Laboratory of Remote Sensing, School of Rural, Surveying, and Geoinformatics Engineering, National Technical University of Athens, Athens, Greece","School of Rural, Surveying, and Geoinformatics Engineering, Laboratory of Remote Sensing, National Technical University of Athens, Zografou, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5112-4079","affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing, School of Rural, Surveying, and Geoinformatics Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"School of Rural, Surveying, and Geoinformatics Engineering, Laboratory of Remote Sensing, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073925649","display_name":"Vassilia Karathanassi","orcid":"https://orcid.org/0000-0002-8834-4734"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilia Karathanassi","raw_affiliation_strings":["Laboratory of Remote Sensing, School of Rural, Surveying, and Geoinformatics Engineering, National Technical University of Athens, Athens, Greece","School of Rural, Surveying, and Geoinformatics Engineering, Laboratory of Remote Sensing, National Technical University of Athens, Zografou, Greece"],"raw_orcid":"https://orcid.org/0000-0002-8834-4734","affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing, School of Rural, Surveying, and Geoinformatics Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"School of Rural, Surveying, and Geoinformatics Engineering, Laboratory of Remote Sensing, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9491,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74418573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"88012","last_page":"88029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9258999824523926,"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/computer-science","display_name":"Computer science","score":0.7775920629501343},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6800844073295593},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6615802645683289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301876306533813},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5776405334472656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5029062628746033},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.445119172334671},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4249991774559021},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41128429770469666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3567155599594116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0844375491142273},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08004820346832275},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07853257656097412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775920629501343},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6800844073295593},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6615802645683289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301876306533813},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5776405334472656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5029062628746033},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.445119172334671},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4249991774559021},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41128429770469666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3567155599594116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0844375491142273},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08004820346832275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07853257656097412},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3570629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3570629","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:25c2f7a8271345ad9707d7dc8c5600b5","is_oa":true,"landing_page_url":"https://doaj.org/article/25c2f7a8271345ad9707d7dc8c5600b5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 88012-88029 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3570629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3570629","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1222661654","display_name":"Technologies and methods for improved resilience and sustainable preservation of underwater and coastal cultural heritage to cope with climate change, natural hazards and environmental pollution","funder_award_id":"101095253","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2545460896","display_name":null,"funder_award_id":"HORIZON-CL2-2022-HERITAGE-01","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W132064424","https://openalex.org/W1901129140","https://openalex.org/W2010844929","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2345549752","https://openalex.org/W2547307714","https://openalex.org/W2559597482","https://openalex.org/W2567061793","https://openalex.org/W2570214200","https://openalex.org/W2765280539","https://openalex.org/W2790713095","https://openalex.org/W2890344598","https://openalex.org/W2901044172","https://openalex.org/W2906300491","https://openalex.org/W2913897408","https://openalex.org/W2945254408","https://openalex.org/W2955386684","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2966542792","https://openalex.org/W2972430292","https://openalex.org/W3001607327","https://openalex.org/W3027225766","https://openalex.org/W3035037798","https://openalex.org/W3035598238","https://openalex.org/W3037455594","https://openalex.org/W3045387165","https://openalex.org/W3046942908","https://openalex.org/W3082783754","https://openalex.org/W3089225446","https://openalex.org/W3096462693","https://openalex.org/W3096831136","https://openalex.org/W3127042927","https://openalex.org/W3130378052","https://openalex.org/W3155690422","https://openalex.org/W3161756727","https://openalex.org/W3176584092","https://openalex.org/W3183600011","https://openalex.org/W3186202833","https://openalex.org/W3195820577","https://openalex.org/W3208576583","https://openalex.org/W4205172069","https://openalex.org/W4206533855","https://openalex.org/W4210468613","https://openalex.org/W4213306777","https://openalex.org/W4221016273","https://openalex.org/W4224294196","https://openalex.org/W4225123210","https://openalex.org/W4288884315","https://openalex.org/W4289861024","https://openalex.org/W4296442381","https://openalex.org/W4297200365","https://openalex.org/W4312691834","https://openalex.org/W4312972144","https://openalex.org/W4312985441","https://openalex.org/W4317795271","https://openalex.org/W4318065808","https://openalex.org/W4323316568","https://openalex.org/W4362587053","https://openalex.org/W4362639058","https://openalex.org/W4366828679","https://openalex.org/W4367016222","https://openalex.org/W4378647831","https://openalex.org/W4380420479","https://openalex.org/W4380789033","https://openalex.org/W4382313312","https://openalex.org/W4389665848","https://openalex.org/W4391696934","https://openalex.org/W4402260786","https://openalex.org/W4402436786","https://openalex.org/W4402439676","https://openalex.org/W4403252122","https://openalex.org/W6636950212","https://openalex.org/W6730095352","https://openalex.org/W6736270120","https://openalex.org/W6766978945","https://openalex.org/W6795737213","https://openalex.org/W6800026608","https://openalex.org/W6802782957","https://openalex.org/W6810965427","https://openalex.org/W6842344434","https://openalex.org/W6851674258","https://openalex.org/W6870223015"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4394775207"],"abstract_inverted_index":{"The":[0,134],"accessibility":[1],"of":[2,111,136,173],"very-high-resolution":[3],"Remote":[4],"Sensing":[5],"(RS)":[6],"near-infrared":[7],"(NIR)":[8],"imagery":[9],"before":[10],"2010s":[11],"is":[12,84],"limited.":[13],"In":[14,74,151,187],"addition,":[15,75],"public":[16],"annotated":[17],"image":[18],"datasets":[19],"often":[20],"used":[21],"as":[22],"benchmarks":[23],"contain":[24],"only":[25,72],"RGB":[26,132,162,177,233],"information.":[27],"Thus,":[28],"RGB-to-NIR":[29,68,97],"translation":[30],"could":[31],"greatly":[32],"benefit":[33],"the":[34,57,67,96,109,137,155,160,183,188,190,205,225],"RS":[35,145],"field.":[36],"Generative":[37],"adversarial":[38],"networks":[39,126],"(GANs)":[40],"and":[41,87,123,180,193,211],"more":[42],"recently":[43],"vision":[44],"transformers":[45],"(ViT)":[46,203],"have":[47,70,90],"shown":[48,200],"promising":[49],"results":[50],"in":[51,95,108,144,176],"generating":[52],"spectrally":[53],"super-resolved":[54],"data.":[55,133],"However,":[56],"RGB-to-hyperspectral":[58],"studies":[59,69],"scatter":[60],"their":[61],"attention":[62,88,125],"to":[63,158,222],"multiple":[64],"bands,":[65],"whereas":[66],"tackled":[71],"vegetation.":[73],"prior":[76],"research":[77],"regarding":[78],"NIR":[79,129,146,185,209,226],"prediction":[80,147,227],"on":[81,127,130,168],"out-of-domain":[82,131,138,208],"data":[83,139,171],"extremely":[85],"limited,":[86],"models":[89],"not":[91],"been":[92,106],"previously":[93],"tested":[94],"translation.":[98],"Beyond":[99],"that,":[100],"unsupervised":[101],"domain":[102,235],"adaptation":[103],"(UDA)":[104],"has":[105],"overlooked":[107],"enhancement":[110],"cross-domain":[112],"band":[113],"generation.":[114],"This":[115],"study,":[116],"at":[117],"first":[118],"evaluates":[119],"a":[120,152,215,231],"conditional":[121],"GAN":[122],"two":[124],"predicting":[128],"properties":[135],"are":[140],"those":[141],"typically":[142],"required":[143],"tasks":[148],"(different":[149],"regions/sensors/dates).":[150],"following":[153],"step,":[154],"study":[156],"attempts":[157],"increase":[159],"source/target":[161,178],"radiometric":[163,234],"similarity":[164],"through":[165,214],"CycleGAN-based":[166],"UDA":[167,213],"unpaired":[169],"bi-temporal":[170],"(lack":[172],"geographic":[174],"correspondence":[175],"patches),":[179],"thus":[181],"improve":[182],"initial":[184],"prediction.":[186],"experiments,":[189],"vegetation,":[191],"impervious":[192],"ground":[194],"classes":[195],"were":[196],"assessed.":[197],"It":[198],"was":[199,230],"that":[201,212],"MST++":[202],"produced":[204],"most":[206],"satisfactory":[207],"predictions":[210],"CycleGAN":[216],"version":[217],"employing":[218],"batch":[219],"normalization":[220],"managed":[221],"significantly":[223],"enhance":[224],"when":[228],"there":[229],"substantial":[232],"gap.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-05-16T00:00:00"}