{"id":"https://openalex.org/W3088662519","doi":"https://doi.org/10.1109/jstars.2020.3026316","title":"Ideal Regularized Discriminative Multiple Kernel Subspace Alignment for Domain Adaptation in Hyperspectral Image Classification","display_name":"Ideal Regularized Discriminative Multiple Kernel Subspace Alignment for Domain Adaptation in Hyperspectral Image Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088662519","doi":"https://doi.org/10.1109/jstars.2020.3026316","mag":"3088662519"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3026316","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3026316","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09205272.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09205272.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068292246","display_name":"Weidong Yang","orcid":"https://orcid.org/0000-0002-2422-9243"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Yang","raw_affiliation_strings":["Department of Aircraft Navigation, National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aircraft Navigation, National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"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":["Department of Information and Computing Science, 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":"Department of Information and Computing Science, Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"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"],"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.5303,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87335961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"5833","last_page":"5846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9739999771118164,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9244999885559082,"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/discriminative-model","display_name":"Discriminative model","score":0.8564731478691101},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7561389207839966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7296940088272095},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.683452308177948},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6637051105499268},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5542968511581421},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5217210054397583},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.508660614490509},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4963265061378479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4844829738140106},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4768962860107422},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.47375115752220154},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.4330160915851593},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.36997395753860474}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8564731478691101},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7561389207839966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7296940088272095},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.683452308177948},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6637051105499268},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5542968511581421},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5217210054397583},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.508660614490509},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4963265061378479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4844829738140106},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4768962860107422},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.47375115752220154},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.4330160915851593},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.36997395753860474},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3026316","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3026316","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09205272.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a9e98e45fe2840a5936f37a7ff25ea56","is_oa":true,"landing_page_url":"https://doaj.org/article/a9e98e45fe2840a5936f37a7ff25ea56","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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5833-5846 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3026316","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3026316","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09205272.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3118884381","display_name":null,"funder_award_id":"18R05","funder_id":"https://openalex.org/F4320324116","funder_display_name":"Wuhan University"},{"id":"https://openalex.org/G3409118948","display_name":null,"funder_award_id":"LR19D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4243412236","display_name":null,"funder_award_id":"863 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4449558481","display_name":null,"funder_award_id":"JCKY2020110C","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/G7871462125","display_name":"\u57fa\u4e8e\u9ad8\u5149\u8c31\u591a\u7279\u5f81\u534f\u540c\u7a00\u758f\u8868\u8fbe\u7684\u6ee8\u6d77\u6e7f\u5730\u7cbe\u7ec6\u5206\u7c7b\u7814\u7a76","funder_award_id":"41671342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7879529582","display_name":null,"funder_award_id":"11771130","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/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088662519.pdf","grobid_xml":"https://content.openalex.org/works/W3088662519.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1823600381","https://openalex.org/W1910772337","https://openalex.org/W1965309615","https://openalex.org/W2018967050","https://openalex.org/W2042873848","https://openalex.org/W2057266281","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2142387771","https://openalex.org/W2149466042","https://openalex.org/W2158602558","https://openalex.org/W2296398754","https://openalex.org/W2337392139","https://openalex.org/W2344173806","https://openalex.org/W2551480915","https://openalex.org/W2567257788","https://openalex.org/W2889773939","https://openalex.org/W2898532184","https://openalex.org/W2899003677","https://openalex.org/W2909487414","https://openalex.org/W2910979321","https://openalex.org/W2947295162","https://openalex.org/W2963275094","https://openalex.org/W3154664134","https://openalex.org/W4288076010","https://openalex.org/W6638501681","https://openalex.org/W6683661426"],"related_works":["https://openalex.org/W2725311638","https://openalex.org/W4291669689","https://openalex.org/W2071590642","https://openalex.org/W2055608878","https://openalex.org/W2371064519","https://openalex.org/W1969447452","https://openalex.org/W2169393112","https://openalex.org/W2001173190","https://openalex.org/W4388570703","https://openalex.org/W2003473336"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,63,74],"novel":[4],"unsupervised":[5,147],"domain":[6,50],"adaptation":[7],"(DA)":[8],"method":[9,27,111],"called":[10],"ideal":[11,32,42],"regularized":[12],"discriminative":[13,34,68],"multiple":[14,35,69],"kernel":[15,36,70,76,124],"subspace":[16,39,94],"alignment":[17,95],"(IRDMKSA)":[18],"for":[19,127,150],"hyperspectral":[20],"image":[21],"(HSI)":[22],"classification.":[23,153],"The":[24,41,67,108],"proposed":[25,109],"IRDMKSA":[26,110,141],"includes":[28],"three":[29],"main":[30],"steps:":[31],"regularization,":[33],"learning,":[37],"and":[38,56,59,104,117,120],"alignment.":[40],"regularization":[43],"strategy":[44],"exploits":[45,112],"label":[46,118],"information":[47,87],"of":[48,81,140],"source":[49,55,103],"to":[51,61,77,98],"refine":[52],"the":[53,79,93,100,114,122,138,151],"standard":[54],"target":[57,105],"kernels":[58],"also":[60],"build":[62],"connection":[64],"between":[65,102],"them.":[66],"learning":[71],"can":[72],"learn":[73],"composite":[75,106],"describe":[78],"nonlinearity":[80],"HSI":[82,152],"samples":[83],"by":[84],"fusing":[85],"complementary":[86],"among":[88],"different":[89],"single":[90],"kernels.":[91,107],"Finally,":[92],"is":[96,142],"used":[97],"diminish":[99],"difference":[101],"both":[113],"sample":[115],"similarity":[116,119],"makes":[121],"resulting":[123],"more":[125],"appropriate":[126],"DA":[128,134,148],"tasks.":[129],"Experimental":[130],"results":[131],"on":[132],"four":[133],"tasks":[135],"show":[136],"that":[137],"performance":[139],"better":[143],"than":[144],"some":[145],"classical":[146],"methods":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}