{"id":"https://openalex.org/W4390421929","doi":"https://doi.org/10.1109/lgrs.2023.3347597","title":"Cross-Domain Distribution Calibration of Hyperspectral Image Classification","display_name":"Cross-Domain Distribution Calibration of Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-12-29","ids":{"openalex":"https://openalex.org/W4390421929","doi":"https://doi.org/10.1109/lgrs.2023.3347597"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3347597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3347597","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5102570123","display_name":"Junyuan Ding","orcid":"https://orcid.org/0009-0001-4959-3762"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyuan Ding","raw_affiliation_strings":["School of Cybersecurity, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0001-4959-3762","affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xian, China"],"raw_orcid":"https://orcid.org/0000-0002-0655-056X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433957","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-7528-420X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xian, China"],"raw_orcid":"https://orcid.org/0000-0002-7528-420X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.1548,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81781285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.9987000226974487,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717154860496521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7065907716751099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.662665605545044},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6027751564979553},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5638580918312073},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5530847907066345},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5001273155212402},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4994804859161377},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46716606616973877},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4659370481967926},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4393860101699829},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31583860516548157},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2734912037849426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21784943342208862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717154860496521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7065907716751099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.662665605545044},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6027751564979553},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5638580918312073},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5530847907066345},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5001273155212402},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4994804859161377},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46716606616973877},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4659370481967926},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4393860101699829},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31583860516548157},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2734912037849426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21784943342208862},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3347597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3347597","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3420112582","display_name":null,"funder_award_id":"62372379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7591048978","display_name":"\u8054\u5408\u6df1\u5ea6\u5148\u9a8c\u548c\u9000\u5316\u8fc7\u7a0b\u5efa\u6a21\u7684\u9ad8\u5149\u8c31\u56fe\u50cf\u76f2\u8d85\u5206\u8fa8\u91cd\u5efa\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2008509935","https://openalex.org/W2028956118","https://openalex.org/W2121338139","https://openalex.org/W2121888382","https://openalex.org/W2123649031","https://openalex.org/W2136251662","https://openalex.org/W2139299826","https://openalex.org/W2146952738","https://openalex.org/W2519653196","https://openalex.org/W2620547787","https://openalex.org/W2765904812","https://openalex.org/W2766345348","https://openalex.org/W2768537477","https://openalex.org/W2791006446","https://openalex.org/W2898204262","https://openalex.org/W2915851545","https://openalex.org/W2940678725","https://openalex.org/W2942454403","https://openalex.org/W2986799142","https://openalex.org/W3032070687","https://openalex.org/W3081861870","https://openalex.org/W3099850646","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3138725786","https://openalex.org/W3207918547","https://openalex.org/W4225146933","https://openalex.org/W4285505669","https://openalex.org/W4312235843","https://openalex.org/W4312457587","https://openalex.org/W4385245566","https://openalex.org/W6682644385","https://openalex.org/W6788840927","https://openalex.org/W6797790494"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W1941834444","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Due":[0],"to":[1,17,53,94,126,131],"the":[2,55,105,128,133,136,139,143,153,157,163,167,171,182],"huge":[3],"number":[4],"of":[5,25,57,85,138,166],"trainable":[6],"parameters,":[7],"deep":[8],"learning":[9,36],"based":[10,37],"hyperspectral":[11],"image(HSI)":[12],"classification":[13,39,174,188],"method":[14,169,184],"frequently":[15],"struggle":[16],"achieve":[18],"satisfactory":[19],"accuracy":[20],"when":[21],"providing":[22],"small":[23],"amount":[24],"labeled":[26,59],"training":[27],"samples.":[28],"This":[29],"study":[30],"proposes":[31],"a":[32,70,119],"novel":[33],"few-shot":[34],"transfer":[35],"HSI":[38,48,86,175,187],"method,":[40],"which":[41],"can":[42],"exploit":[43],"samples":[44,60,148],"from":[45,114,156],"multiple":[46,112],"other":[47,192],"datasets(termed":[49],"as":[50],"multi-source":[51,158],"domain)":[52],"address":[54],"issues":[56],"limited":[58],"in":[61,87],"target":[62,144,154,172],"domain.":[63,103,145],"For":[64],"this":[65],"purpose,":[66],"we":[67,124],"first":[68],"construct":[69],"feature":[71,107],"extractor":[72,108],"utilizing":[73],"both":[74,96],"convolution":[75],"neural":[76],"network":[77],"(CNN)":[78],"and":[79,98,142],"transformer.":[80],"Specifically,":[81],"CNN":[82],"extracts":[83],"features":[84,100,137],"spatial":[88],"domain,":[89,116],"while":[90],"transformer":[91],"is":[92,109,176],"used":[93],"capture":[95],"global":[97],"local":[99],"within":[101],"spectral":[102],"Since":[104],"constructed":[106],"trained":[110],"on":[111],"HSIs":[113],"source":[115,140],"it":[117],"has":[118,185],"good":[120],"generalization":[121,164],"ability.":[122],"Then,":[123],"propose":[125],"utilize":[127],"distribution":[129,151,161],"calibration":[130],"decrease":[132],"difference":[134],"between":[135],"domain":[141,155,159,173],"By":[146],"selecting":[147],"with":[149,152,191],"similar":[150],"for":[160,170],"calibration,":[162],"ability":[165],"proposed":[168,183],"further":[177],"enhanced.":[178],"Experimental":[179],"results":[180,189],"demonstrate":[181],"better":[186],"compared":[190],"competing":[193],"methods.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}
