{"id":"https://openalex.org/W3034757175","doi":"https://doi.org/10.1109/jstars.2020.3000677","title":"Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images","display_name":"Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3034757175","doi":"https://doi.org/10.1109/jstars.2020.3000677","mag":"3034757175"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3000677","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3000677","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09110759.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/ielx7/4609443/8994817/09110759.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032269610","display_name":"Chen Hong","orcid":"https://orcid.org/0000-0002-4075-5497"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061001516","display_name":"Minchao Ye","orcid":"https://orcid.org/0000-0003-3608-7913"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minchao Ye","raw_affiliation_strings":["College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-3608-7913","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ling Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Lei","raw_affiliation_strings":["College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073179339","display_name":"Huijuan Lu","orcid":"https://orcid.org/0000-0002-3698-9653"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijuan Lu","raw_affiliation_strings":["College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059857918","display_name":"Yuntao Qian","orcid":"https://orcid.org/0000-0002-7418-5891"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Qian","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-7418-5891","affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":3.5925,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93852062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"3164","last_page":"3178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9797999858856201,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9757999777793884,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7689509987831116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296648025512695},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7071855068206787},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6432010531425476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6175364851951599},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5527420043945312},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5036143660545349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49270108342170715},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4794294238090515},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4641144871711731},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.44056516885757446},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.41105201840400696},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.3792683780193329},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.353066086769104}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7689509987831116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296648025512695},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7071855068206787},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6432010531425476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6175364851951599},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5527420043945312},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5036143660545349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49270108342170715},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4794294238090515},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4641144871711731},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.44056516885757446},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.41105201840400696},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3792683780193329},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.353066086769104},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3000677","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3000677","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09110759.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:05af1dc45243429b8cd45a32587fee91","is_oa":true,"landing_page_url":"https://doaj.org/article/05af1dc45243429b8cd45a32587fee91","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 3164-3178 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3000677","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3000677","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09110759.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":0.7099999785423279,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G8575803067","display_name":null,"funder_award_id":"61701468","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W92091516","https://openalex.org/W1593532658","https://openalex.org/W1902027874","https://openalex.org/W2042873848","https://openalex.org/W2044663565","https://openalex.org/W2063069198","https://openalex.org/W2072026894","https://openalex.org/W2078362005","https://openalex.org/W2104125540","https://openalex.org/W2105705442","https://openalex.org/W2108119513","https://openalex.org/W2115403315","https://openalex.org/W2118246710","https://openalex.org/W2118862682","https://openalex.org/W2134845968","https://openalex.org/W2137900926","https://openalex.org/W2154874087","https://openalex.org/W2159570078","https://openalex.org/W2165698076","https://openalex.org/W2318512420","https://openalex.org/W2324728875","https://openalex.org/W2567257788","https://openalex.org/W2751420511","https://openalex.org/W2755969194","https://openalex.org/W2800903797","https://openalex.org/W2905230381","https://openalex.org/W2910979321","https://openalex.org/W2987042740","https://openalex.org/W3150214740","https://openalex.org/W3154664134","https://openalex.org/W4234876869","https://openalex.org/W4288076010","https://openalex.org/W6675818438","https://openalex.org/W6680105781"],"related_works":["https://openalex.org/W4308269461","https://openalex.org/W4281395053","https://openalex.org/W2020769413","https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640"],"abstract_inverted_index":{"Lack":[0],"of":[1,58,92,124,186,197,232],"labeled":[2,38,51,64,187],"training":[3],"samples":[4,65],"is":[5,61,103,201,210,234],"a":[6,21,49,110,152],"big":[7],"challenge":[8],"for":[9,137,179,215,226],"hyperspectral":[10],"image":[11],"(HSI)":[12],"classification.":[13],"In":[14,25,76,97,105,162,206],"recent":[15],"years,":[16],"cross-scene":[17,26,59,166,239],"classification":[18,60,72],"has":[19],"become":[20],"new":[22],"research":[23],"topic.":[24],"classification,":[27],"two":[28,125,135],"closely":[29],"related":[30],"HSI":[31],"scenes":[32],"are":[33,81,168],"considered,":[34],"one":[35,46],"contains":[36,47],"adequate":[37],"samples,":[39,52],"namely":[40,53,115],"source":[41,67,138,147],"scene,":[42],"while":[43],"the":[44,63,71,146,157,172,183,194],"other":[45],"only":[48],"few":[50],"target":[54,74,140,149,180,190,204],"scene.":[55,75,205],"The":[56,230],"goal":[57],"utilizing":[62],"in":[66,73,94,189,203],"scene":[68,191],"to":[69,87,151,170,212],"benefit":[70],"most":[77],"cases,":[78],"different":[79,84,88,95],"HSIs":[80],"imaged":[82],"by":[83,236],"sensors,":[85],"leading":[86],"feature":[89,160],"dimensions":[90],"(numbers":[91],"bands)":[93],"scenes.":[96],"this":[98,106],"situation,":[99],"heterogeneous":[100,111],"transfer":[101,112],"learning":[102,113,178,200],"demanded.":[104],"article,":[107],"we":[108],"propose":[109],"algorithm":[114],"semisupervised":[116,199],"dual-dictionary":[117],"nonnegative":[118,129],"matrix":[119,130],"factorization":[120,131],"(SS-DDNMF).":[121],"SS-DDNMF":[122,233],"consists":[123],"contributions.":[126],"1)":[127],"Dual-dictionary":[128],"(DDNMF):":[132],"DDNMF":[133],"trains":[134],"dictionaries":[136],"and":[139,148,165],"scenes,":[141],"respectively,":[142],"aiming":[143],"at":[144],"projecting":[145],"features":[150],"shared":[153],"low-dimensional":[154],"subspace,":[155],"eliminating":[156],"difference":[158],"between":[159,174],"spaces.":[161],"DDNMF,":[163,198],"within-scene":[164],"graphs":[167],"built":[169],"maintain":[171],"similarities":[173],"pixels.":[175],"2)":[176],"Semisupervised":[177],"scene:":[181],"as":[182],"limited":[184],"number":[185],"pixels":[188,222],"will":[192],"affect":[193],"graph":[195],"building":[196,227],"adopted":[202,211],"details,":[207],"superpixel":[208],"segmentation":[209],"generate":[213],"pseudolabels":[214],"some":[216],"unlabeled":[217],"pixels,":[218],"thus":[219],"more":[220],"\u201clabeled\u201d":[221],"can":[223],"be":[224],"considered":[225],"better":[228],"graphs.":[229],"effectiveness":[231],"verified":[235],"experiments":[237],"on":[238],"HSIs.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}