{"id":"https://openalex.org/W3034054712","doi":"https://doi.org/10.1109/jstars.2020.2999386","title":"Cross-Scene Deep Transfer Learning With Spectral Feature Adaptation for Hyperspectral Image Classification","display_name":"Cross-Scene Deep Transfer Learning With Spectral Feature Adaptation for Hyperspectral Image Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3034054712","doi":"https://doi.org/10.1109/jstars.2020.2999386","mag":"3034054712"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.2999386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.2999386","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09106753.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/ielx7/4609443/8994817/09106753.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002068112","display_name":"Chongxiao Zhong","orcid":"https://orcid.org/0000-0002-3448-5320"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongxiao Zhong","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1082-114X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009664659","display_name":"Sifan Wu","orcid":"https://orcid.org/0000-0001-5992-6252"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sifan Wu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-8721-4535"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8721-4535","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":4.9161,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95613048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"2861","last_page":"2873"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9886000156402588,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.926063060760498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8098540902137756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867974042892456},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.736181378364563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6824780702590942},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6038200259208679},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.49970555305480957},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.46752241253852844},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42928335070610046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42615342140197754},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42167648673057556},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4151836335659027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41115498542785645}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.926063060760498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8098540902137756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867974042892456},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.736181378364563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6824780702590942},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6038200259208679},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.49970555305480957},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.46752241253852844},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42928335070610046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42615342140197754},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42167648673057556},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4151836335659027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41115498542785645},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.2999386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.2999386","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09106753.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:0b14c884d679435589daf3a25ac7818d","is_oa":true,"landing_page_url":"https://doaj.org/article/0b14c884d679435589daf3a25ac7818d","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 2861-2873 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.2999386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.2999386","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09106753.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":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1849479095","display_name":"\u5bbd\u6ce2\u6bb5\u591a\u7ef4\u5ea6\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u6790\u53ca\u89e3\u8bd1\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871150","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/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034054712.pdf","grobid_xml":"https://content.openalex.org/works/W3034054712.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1977461281","https://openalex.org/W1978577993","https://openalex.org/W1982696459","https://openalex.org/W2036842392","https://openalex.org/W2043228833","https://openalex.org/W2051197289","https://openalex.org/W2053615857","https://openalex.org/W2094317452","https://openalex.org/W2096943734","https://openalex.org/W2107298017","https://openalex.org/W2109975565","https://openalex.org/W2114154403","https://openalex.org/W2115403315","https://openalex.org/W2122922389","https://openalex.org/W2129587305","https://openalex.org/W2131725398","https://openalex.org/W2149933564","https://openalex.org/W2154772499","https://openalex.org/W2158108683","https://openalex.org/W2159570078","https://openalex.org/W2163346236","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2558098092","https://openalex.org/W2567257788","https://openalex.org/W2592224809","https://openalex.org/W2614256707","https://openalex.org/W2614326984","https://openalex.org/W2767787532","https://openalex.org/W2771181228","https://openalex.org/W2792095806","https://openalex.org/W2809635958","https://openalex.org/W2889192935","https://openalex.org/W2890945279","https://openalex.org/W2891059222","https://openalex.org/W2896826789","https://openalex.org/W2902905019","https://openalex.org/W2912961521","https://openalex.org/W2946747211","https://openalex.org/W2964121744","https://openalex.org/W2983277052","https://openalex.org/W2987042740","https://openalex.org/W3103753223","https://openalex.org/W3106090851","https://openalex.org/W3154664134","https://openalex.org/W4233981275","https://openalex.org/W4288076010","https://openalex.org/W4299518610","https://openalex.org/W4383570961","https://openalex.org/W6631190155","https://openalex.org/W6663161005","https://openalex.org/W6676215431","https://openalex.org/W6682132143","https://openalex.org/W6853816443"],"related_works":["https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W3176438653","https://openalex.org/W2400428875","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W3189091156","https://openalex.org/W4386087993","https://openalex.org/W3014041368","https://openalex.org/W4285815841"],"abstract_inverted_index":{"The":[0,87],"small":[1],"size":[2],"of":[3,10,34,97,134,139,181],"labeled":[4],"samples":[5,33],"has":[6,23],"always":[7],"been":[8,24],"one":[9],"the":[11,39,78,94,140,162,168,182],"great":[12],"challenges":[13],"in":[14],"hyperspectral":[15,42,158],"image":[16,142],"(HSI)":[17],"classification.":[18],"Recently,":[19],"cross-scene":[20,64],"transfer":[21,66,150],"learning":[22,67,151],"developed":[25],"to":[26,55,84,130],"solve":[27],"this":[28,58],"problem":[29,51],"by":[30,45,145,173],"utilizing":[31],"auxiliary":[32],"a":[35,49,63,109,116,125,147],"relevant":[36],"scene.":[37,86],"However,":[38],"disparity":[40,169],"between":[41,100,170],"datasets":[43,159],"acquired":[44],"different":[46,174],"sensors":[47,175],"is":[48,53,128,143],"tricky":[50],"which":[52,76],"hard":[54],"overcome.":[56],"In":[57],"article,":[59],"we":[60],"put":[61],"forward":[62],"deep":[65,149],"method":[68],"with":[69,121],"spectral":[70,98],"feature":[71],"adaptation":[72,113],"for":[73],"HSI":[74,135],"classification,":[75],"transfers":[77],"effective":[79],"contents":[80],"from":[81],"source":[82,101],"scene":[83],"target":[85,104,141,183],"proposed":[88,163],"framework":[89],"contains":[90],"two":[91],"parts.":[92],"First,":[93],"distribution":[95,112],"differences":[96],"dimension":[99],"domain":[102,105],"and":[103,124,176],"are":[106],"reduced":[107],"through":[108],"joint":[110],"probability":[111],"approach.":[114],"Then,":[115],"multiscale":[117,126],"spectral-spatial":[118],"unified":[119],"network":[120],"two-branch":[122],"architecture":[123],"bank":[127],"designed":[129],"extract":[131],"discriminating":[132],"features":[133],"adequately.":[136],"Finally,":[137],"classification":[138,179],"achieved":[144],"applying":[146],"model-based":[148],"strategy.":[152],"Experiments":[153],"conducted":[154],"on":[155],"several":[156],"real":[157],"demonstrate":[160],"that":[161],"approach":[164],"can":[165],"explicitly":[166],"narrow":[167],"HSIs":[171],"captured":[172],"yield":[177],"ideal":[178],"results":[180],"HSI.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}