{"id":"https://openalex.org/W3214347750","doi":"https://doi.org/10.1109/lgrs.2021.3128590","title":"Distribution Alignment and Discriminative Feature Learning for Domain Adaptation in Hyperspectral Image Classification","display_name":"Distribution Alignment and Discriminative Feature Learning for Domain Adaptation in Hyperspectral Image Classification","publication_year":2021,"publication_date":"2021-11-16","ids":{"openalex":"https://openalex.org/W3214347750","doi":"https://doi.org/10.1109/lgrs.2021.3128590","mag":"3214347750"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3128590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3128590","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/A5023924824","display_name":"Yi Huang","orcid":"https://orcid.org/0000-0002-5065-4198"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Huang","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, P. R. China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102506532","display_name":"Yujie Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Ning","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, P. R. China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905042","display_name":"Qiang Cao","orcid":"https://orcid.org/0000-0002-9232-1885"},"institutions":[{"id":"https://openalex.org/I188935350","display_name":"Anhui University of Finance and Economics","ror":"https://ror.org/0152zzg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I188935350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Cao","raw_affiliation_strings":["School of Finance, Anhui University of Finance and Economics, Bengbu, China","School of Finance, Anhui University of Finance and Economics, Bengbu 233030, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Finance, Anhui University of Finance and Economics, Bengbu, China","institution_ids":["https://openalex.org/I188935350"]},{"raw_affiliation_string":"School of Finance, Anhui University of Finance and Economics, Bengbu 233030, P. R. China","institution_ids":["https://openalex.org/I188935350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3399-7858","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, P. R. China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.6726,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76467647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9957000017166138,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.982200026512146,"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/T12676","display_name":"Machine Learning and ELM","score":0.9395999908447266,"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/discriminative-model","display_name":"Discriminative model","score":0.9606247544288635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7771353721618652},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7679834365844727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7503626942634583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690811276435852},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.677666962146759},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5968412160873413},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5066481232643127},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4723186194896698},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4568122625350952},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45124930143356323},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42294052243232727},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40188220143318176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.326049268245697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23055684566497803}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9606247544288635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7771353721618652},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7679834365844727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7503626942634583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690811276435852},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.677666962146759},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5968412160873413},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5066481232643127},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4723186194896698},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4568122625350952},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45124930143356323},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42294052243232727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40188220143318176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.326049268245697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23055684566497803},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3128590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3128590","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1613605565","display_name":null,"funder_award_id":"2020Y\u2010FA0714200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1731396853","display_name":null,"funder_award_id":"2021CFA087","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G3409118948","display_name":"\u9886\u57df\u81ea\u9002\u5e94\u7684\u9ad8\u5149\u8c31\u9065\u611f\u667a\u80fd\u5206\u7c7b\u4e0e\u6ee8\u6d77\u6e7f\u5730\u5e94\u7528","funder_award_id":"LR19D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5290491421","display_name":null,"funder_award_id":"42171351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5568457102","display_name":null,"funder_award_id":"41971296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5745640903","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u7684\u9c81\u68d2\u6838\u7a7a\u95f4\u8054\u5408\u7a00\u758f\u8868\u793a\u7814\u7a76","funder_award_id":"61871177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7524409454","display_name":null,"funder_award_id":"42122009","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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2096943734","https://openalex.org/W2101711129","https://openalex.org/W2104068492","https://openalex.org/W2149466042","https://openalex.org/W2616287544","https://openalex.org/W2889472764","https://openalex.org/W2901639336","https://openalex.org/W2910979321","https://openalex.org/W2963275094","https://openalex.org/W2996787432","https://openalex.org/W2999216888","https://openalex.org/W3016244469","https://openalex.org/W3020682062","https://openalex.org/W3091553978","https://openalex.org/W3092800550","https://openalex.org/W3103330976","https://openalex.org/W3168931281","https://openalex.org/W3186406830","https://openalex.org/W3201461236","https://openalex.org/W4288076010"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2740361506","https://openalex.org/W3208297503","https://openalex.org/W2761785940","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W2147093486"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1],"(DA)":[2],"aims":[3],"to":[4,10,93],"use":[5,30],"a":[6,57,90],"well-labeled":[7],"source":[8],"domain":[9,41],"predict":[11],"the":[12,15,23,29,111,115],"labels":[13],"of":[14,22,31,114,122],"unlabeled":[16],"or":[17,33],"poor-labeled":[18],"target":[19],"domain.":[20],"Most":[21],"existing":[24,123],"DA":[25,59,107,124],"methods":[26],"focus":[27],"on":[28,104],"feature-level":[32,52],"sample-level":[34],"information.":[35],"Recent":[36],"studies":[37],"have":[38],"shown":[39],"that":[40,110,121],"discriminative":[42,55,65],"information":[43,53,82],"is":[44,69,118],"also":[45],"important":[46],"for":[47,71],"classification.":[48],"To":[49],"jointly":[50],"exploit":[51],"and":[54,64,84,97],"information,":[56],"new":[58],"method":[60],"called":[61],"distribution":[62,96],"alignment":[63],"feature":[66],"learning":[67],"(DADFL)":[68],"proposed":[70,116],"hyperspectral":[72,106],"image":[73],"(HSI)":[74],"classification":[75,112],"in":[76],"this":[77],"letter.":[78],"DADFL":[79,117],"incorporates":[80],"category-discriminative":[81],"preservation":[83],"structured":[85],"prediction":[86],"(SP)-based":[87],"pseudolabeling":[88],"into":[89],"unified":[91],"framework":[92],"simultaneously":[94],"reduce":[95],"subspace":[98],"differences":[99],"between":[100],"domains.":[101],"Experimental":[102],"results":[103],"three":[105],"tasks":[108],"show":[109],"performance":[113],"better":[119],"than":[120],"methods.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}