{"id":"https://openalex.org/W2901639336","doi":"https://doi.org/10.1109/jstars.2018.2874225","title":"Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification","display_name":"Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2901639336","doi":"https://doi.org/10.1109/jstars.2018.2874225","mag":"2901639336"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2018.2874225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2874225","pdf_url":null,"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":false,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101648581","display_name":"Jianzhe Lin","orcid":"https://orcid.org/0000-0001-8456-0475"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jianzhe Lin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8456-0475","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064078067","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-6301-1311"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6301-1311","affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607415","display_name":"Shuying Li","orcid":"https://orcid.org/0000-0003-3994-2874"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuying Li","raw_affiliation_strings":["School of Automation, Xi'an University of Post and Telecommunications, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3994-2874","affiliations":[{"raw_affiliation_string":"School of Automation, Xi'an University of Post and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028143781","display_name":"Rabab Ward","orcid":"https://orcid.org/0000-0002-2471-1902"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rabab Ward","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-2471-1902","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051587486","display_name":"Z. Jane Wang","orcid":"https://orcid.org/0000-0002-3791-0249"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Z. Jane Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3791-0249","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101648581"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":4.9076,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.96100459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"11","first_page":"4048","last_page":"4062"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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":0.9972000122070312,"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":0.7781133651733398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339033484458923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6962875127792358},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6757144331932068},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6600452661514282},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5409773588180542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5337923765182495},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5003867149353027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3566315472126007}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7781133651733398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339033484458923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962875127792358},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6757144331932068},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6600452661514282},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5409773588180542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5337923765182495},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5003867149353027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3566315472126007},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2018.2874225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2874225","pdf_url":null,"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":false,"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":null,"license_id":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1484084878","https://openalex.org/W1513874326","https://openalex.org/W1515450954","https://openalex.org/W1523385540","https://openalex.org/W1528361845","https://openalex.org/W1553262910","https://openalex.org/W1967400946","https://openalex.org/W1982696459","https://openalex.org/W1994348648","https://openalex.org/W2006484294","https://openalex.org/W2012878613","https://openalex.org/W2029296788","https://openalex.org/W2042932437","https://openalex.org/W2072243389","https://openalex.org/W2080021732","https://openalex.org/W2081621443","https://openalex.org/W2087107531","https://openalex.org/W2093596219","https://openalex.org/W2096873754","https://openalex.org/W2100235303","https://openalex.org/W2114188922","https://openalex.org/W2128518360","https://openalex.org/W2141039193","https://openalex.org/W2145772003","https://openalex.org/W2164325628","https://openalex.org/W2165698076","https://openalex.org/W2165835468","https://openalex.org/W2187105870","https://openalex.org/W2261310161","https://openalex.org/W2397746618","https://openalex.org/W2399386490","https://openalex.org/W2518897583","https://openalex.org/W2552639984","https://openalex.org/W2592737629","https://openalex.org/W2600061660","https://openalex.org/W2706378466","https://openalex.org/W2747311654","https://openalex.org/W2799954862","https://openalex.org/W2884276099","https://openalex.org/W2890837360","https://openalex.org/W2902905019","https://openalex.org/W3002826623","https://openalex.org/W3099831940","https://openalex.org/W3105100264","https://openalex.org/W6600949241","https://openalex.org/W6628826841","https://openalex.org/W6631216910","https://openalex.org/W6674764686","https://openalex.org/W6682127699","https://openalex.org/W6692729736","https://openalex.org/W6712915529","https://openalex.org/W6754696027"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W2576964996"],"abstract_inverted_index":{"A":[0],"hyperspectral":[1],"image":[2],"(HSI)":[3],"includes":[4],"a":[5,10,193],"vast":[6],"quantity":[7],"of":[8,13,36,49,65,68,219],"samples,":[9,39],"large":[11],"number":[12],"bands,":[14],"and":[15,25,46,59,87,123,161,166,174,200,206],"randomly":[16],"occurring":[17],"redundancy.":[18],"Classifying":[19],"such":[20,53],"complex":[21],"data":[22,177],"is":[23,57],"challenging,":[24],"its":[26],"classification":[27],"performance":[28],"can":[29,80],"be":[30,121,158],"affected":[31],"significantly":[32],"by":[33],"the":[34,43,63,82,109,118,139,149,153,172,181,188,197,217,220],"amount":[35],"labeled":[37,54,69],"training":[38,55],"as":[40,42],"well":[41],"quality,":[44],"position,":[45],"others":[47],"factors":[48],"these":[50],"samples.":[51],"Collecting":[52],"samples":[56,70,151],"labor":[58],"time":[60],"consuming,":[61],"motivating":[62],"idea":[64],"taking":[66],"advantage":[67],"from":[71,185],"other":[72],"pre-existing":[73],"related":[74],"images.":[75],"Therefore,":[76],"transfer":[77,97],"learning,":[78],"which":[79,156],"mitigate":[81],"semantic":[83],"gap":[84],"between":[85],"existing":[86,96,186],"new":[88],"HSIs,":[89],"has":[90],"drawn":[91],"increasing":[92],"research":[93],"attention.":[94],"However,":[95],"learning":[98,145],"methods":[99],"for":[100,138,171,203,223],"HSIs":[101,215],"(which":[102],"mainly":[103],"concentrate":[104],"on":[105,152,196,212],"how":[106],"to":[107,115,120,147,178],"overcome":[108,180],"divergence":[110],"among":[111],"images)":[112],"may":[113],"fail":[114],"carefully":[116],"consider":[117],"contents":[119],"transferred":[122,159],"thus":[124],"limit":[125],"their":[126],"performances.":[127],"In":[128],"this":[129],"paper,":[130],"we":[131,163],"present":[132],"two":[133],"novel":[134],"ideas:":[135],"1)":[136],"we,":[137],"first":[140],"time,":[141],"introduce":[142],"an":[143],"active":[144],"process":[146],"initialize":[148],"salient":[150],"HSI":[154,176,208,224],"data,":[155],"would":[157],"later;":[160],"2)":[162],"propose":[164],"constructing":[165],"connecting":[167],"higher":[168],"level":[169],"features":[170],"source":[173],"target":[175,198],"further":[179],"cross-domain":[182],"disparity.":[183],"Different":[184],"methods,":[187],"proposed":[189,221],"framework":[190],"requires":[191],"no":[192],"priori":[194],"knowledge":[195],"domain,":[199],"it":[201],"works":[202],"both":[204],"homogeneous":[205],"heterogeneous":[207],"data.":[209],"Experimental":[210],"results":[211],"three":[213],"real-world":[214],"support":[216],"effectiveness":[218],"method":[222],"classification.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
