{"id":"https://openalex.org/W2899747753","doi":"https://doi.org/10.1109/tgrs.2018.2868851","title":"Active Transfer Learning Network: A Unified Deep Joint Spectral\u2013Spatial Feature Learning Model for Hyperspectral Image Classification","display_name":"Active Transfer Learning Network: A Unified Deep Joint Spectral\u2013Spatial Feature Learning Model for Hyperspectral Image Classification","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2899747753","doi":"https://doi.org/10.1109/tgrs.2018.2868851","mag":"2899747753"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2868851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2868851","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.02454","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2620-3247","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268247","display_name":"Yumeng Xue","orcid":"https://orcid.org/0000-0002-8195-517X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumeng Xue","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024067284","display_name":"Xianglong Liu","orcid":"https://orcid.org/0000-0001-8425-4195"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Liu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715807","display_name":"Chao Li","orcid":"https://orcid.org/0000-0002-1168-5397"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I4210128581","display_name":"Information and Communication Technologies Centre","ror":"https://ror.org/034x2fx50","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210128581","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602","https://openalex.org/I4210128581"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":13.7674,"has_fulltext":false,"cited_by_count":169,"citation_normalized_percentile":{"value":0.98930436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"57","issue":"3","first_page":"1741","last_page":"1754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9573000073432922,"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":0.9251000285148621,"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":0.8025504350662231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752250075340271},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.721777081489563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6915317177772522},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6461844444274902},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6366447806358337},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6108672618865967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5914690494537354},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5220206379890442},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4512863755226135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4124802350997925},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3318086862564087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8025504350662231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752250075340271},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.721777081489563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6915317177772522},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6461844444274902},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6366447806358337},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6108672618865967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5914690494537354},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5220206379890442},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4512863755226135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4124802350997925},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3318086862564087},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural 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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2018.2868851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2868851","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1904.02454","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.02454","pdf_url":"https://arxiv.org/pdf/1904.02454","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/137496","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/137496","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.02454","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.02454","pdf_url":"https://arxiv.org/pdf/1904.02454","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1186537922","display_name":"\u9762\u5411\u89c6\u9891\u5927\u6570\u636e\u68c0\u7d22\u7684\u54c8\u5e0c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2997394821","display_name":"On snapping up semantics of dynamic pixels from moving cameras","funder_award_id":"FL170100117","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3091033834","display_name":"ARC Research Hub for Driving Farming Productivity and Disease Prevention","funder_award_id":"IH180100002","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6777872865","display_name":null,"funder_award_id":"61572388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G804075363","display_name":"Streaming label learning for leaching knowledge from labels on the fly","funder_award_id":"DP180103424","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W211921589","https://openalex.org/W1180094216","https://openalex.org/W1948819007","https://openalex.org/W1955857676","https://openalex.org/W1966184253","https://openalex.org/W1990895816","https://openalex.org/W2005672614","https://openalex.org/W2009286595","https://openalex.org/W2016860790","https://openalex.org/W2018257962","https://openalex.org/W2021367230","https://openalex.org/W2029296788","https://openalex.org/W2029316659","https://openalex.org/W2036109700","https://openalex.org/W2043665634","https://openalex.org/W2047348370","https://openalex.org/W2076961568","https://openalex.org/W2087263574","https://openalex.org/W2090424610","https://openalex.org/W2093596219","https://openalex.org/W2098676252","https://openalex.org/W2100495367","https://openalex.org/W2104269704","https://openalex.org/W2105386417","https://openalex.org/W2106277226","https://openalex.org/W2124706543","https://openalex.org/W2128898747","https://openalex.org/W2136251662","https://openalex.org/W2139573966","https://openalex.org/W2140991832","https://openalex.org/W2142012908","https://openalex.org/W2144151128","https://openalex.org/W2153635508","https://openalex.org/W2159807629","https://openalex.org/W2163605009","https://openalex.org/W2207374674","https://openalex.org/W2248723555","https://openalex.org/W2314785379","https://openalex.org/W2418263100","https://openalex.org/W2500751094","https://openalex.org/W2514386985","https://openalex.org/W2516658560","https://openalex.org/W2518897583","https://openalex.org/W2591702764","https://openalex.org/W2603422184","https://openalex.org/W2605809234","https://openalex.org/W2608862709","https://openalex.org/W2614326984","https://openalex.org/W2741028958","https://openalex.org/W2741786247","https://openalex.org/W2762468750","https://openalex.org/W2768420873","https://openalex.org/W2771635595","https://openalex.org/W2783165089","https://openalex.org/W4320339642","https://openalex.org/W6652555363","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W2983142544","https://openalex.org/W4206357785","https://openalex.org/W2891059443","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557"],"abstract_inverted_index":{"Deep":[0],"learning":[1,50,128],"has":[2],"recently":[3],"attracted":[4],"significant":[5],"attention":[6],"in":[7],"the":[8,16,88,93,98,102,106,113,125,140,152,159,180],"field":[9],"of":[10,18,30,133,154],"hyperspectral":[11],"images":[12],"(HSIs)":[13],"classification.":[14],"However,":[15],"construction":[17],"an":[19],"efficient":[20],"deep":[21,44,67,182,215],"neural":[22],"network":[23,91,108,141,160],"mostly":[24],"relies":[25],"on":[26,218],"a":[27,42],"large":[28],"number":[29],"labeled":[31,62,115,149],"samples":[32,96,116,150],"being":[33],"available.":[34],"To":[35],"address":[36],"this":[37,39],"problem,":[38],"paper":[40],"proposes":[41],"unified":[43],"network,":[45],"combined":[46],"with":[47,151],"active":[48,127],"transfer":[49,87,170],"(TL)":[51],"that":[52,202],"can":[53,142],"be":[54,143],"well-trained":[55],"for":[56],"HSIs":[57],"classification":[58],"using":[59,112,146],"only":[60,147],"minimally":[61],"training":[63,95],"data.":[64],"More":[65],"specifically,":[66],"joint":[68,183,194],"spectral-spatial":[69,184,195],"feature":[70,185,196],"is":[71,83,109,161,187],"first":[72],"extracted":[73],"through":[74],"hierarchical":[75],"stacked":[76],"sparse":[77],"autoencoder":[78],"(SSAE)":[79],"networks.":[80],"Active":[81],"TL":[82],"then":[84],"exploited":[85],"to":[86,101,166],"pretrained":[89],"SSAE":[90,107],"and":[92,121,163,176,178,190,214],"limited":[94,114,148],"from":[97,118],"source":[99,120],"domain":[100],"target":[103,122],"domain,":[104],"where":[105],"subsequently":[110],"fine-tuned":[111],"selected":[117],"both":[119,212],"domains":[123],"by":[124],"corresponding":[126],"(AL)":[129],"strategies.":[130],"The":[131],"advantages":[132],"our":[134,203],"proposed":[135,204],"method":[136,205],"are":[137],"threefold:":[138],"1)":[139],"effectively":[144],"trained":[145],"help":[153],"novel":[155],"AL":[156],"strategies;":[157],"2)":[158],"flexible":[162],"scalable":[164],"enough":[165],"function":[167],"across":[168],"various":[169],"situations,":[171],"including":[172,211],"cross":[173],"data":[174,221],"set":[175],"intraimage;":[177],"3)":[179],"learned":[181],"representation":[186],"more":[188],"generic":[189],"robust":[191],"than":[192],"many":[193,208],"representations.":[197],"Extensive":[198],"comparative":[199],"evaluations":[200],"demonstrate":[201],"significantly":[206],"outperforms":[207],"state-of-the-art":[209],"approaches,":[210],"traditional":[213],"network-based":[216],"methods,":[217],"three":[219],"popular":[220],"sets.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":16}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
