{"id":"https://openalex.org/W4306153721","doi":"https://doi.org/10.3390/rs14205118","title":"From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning","display_name":"From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4306153721","doi":"https://doi.org/10.3390/rs14205118"},"language":"en","primary_location":{"id":"doi:10.3390/rs14205118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205118","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5118/pdf?version=1666603109","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/20/5118/pdf?version=1666603109","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056740310","display_name":"Yifan Sun","orcid":"https://orcid.org/0000-0002-0801-7697"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Sun","raw_affiliation_strings":["College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039991862","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-0848-8453"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Liu","raw_affiliation_strings":["College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101042173","display_name":"Xuchu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchu Yu","raw_affiliation_strings":["College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069652653","display_name":"Anzhu Yu","orcid":"https://orcid.org/0000-0002-3332-9668"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anzhu Yu","raw_affiliation_strings":["College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074045214","display_name":"Kuiliang Gao","orcid":"https://orcid.org/0000-0002-2145-199X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuiliang Gao","raw_affiliation_strings":["College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088242752","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-0653-8373"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039991862"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.6951,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85861741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"20","first_page":"5118","last_page":"5118"},"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":0.9950000047683716,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9129009246826172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7967604398727417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.751070499420166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5779748558998108},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5491970181465149},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5246805548667908},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5137878060340881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36955326795578003}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9129009246826172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967604398727417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.751070499420166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5779748558998108},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5491970181465149},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5246805548667908},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5137878060340881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36955326795578003}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14205118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205118","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5118/pdf?version=1666603109","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8f6e6bca5624ae2a3dc574c3c329bb7","is_oa":true,"landing_page_url":"https://doaj.org/article/d8f6e6bca5624ae2a3dc574c3c329bb7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 20, p 5118 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/20/5118/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14205118","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 20; Pages: 5118","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14205118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205118","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5118/pdf?version=1666603109","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G421226716","display_name":null,"funder_award_id":"222300420387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6803362436","display_name":null,"funder_award_id":"41801388","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G7420870516","display_name":null,"funder_award_id":"41801388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G986355873","display_name":null,"funder_award_id":"222300420387","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306153721.pdf","grobid_xml":"https://content.openalex.org/works/W4306153721.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W119960974","https://openalex.org/W764651262","https://openalex.org/W1521436688","https://openalex.org/W1576462183","https://openalex.org/W1763426478","https://openalex.org/W1867429401","https://openalex.org/W1921093919","https://openalex.org/W1929856797","https://openalex.org/W2033959528","https://openalex.org/W2067869061","https://openalex.org/W2076756823","https://openalex.org/W2087263574","https://openalex.org/W2090518410","https://openalex.org/W2104269704","https://openalex.org/W2113221323","https://openalex.org/W2131747574","https://openalex.org/W2147253850","https://openalex.org/W2152057649","https://openalex.org/W2155302366","https://openalex.org/W2161381512","https://openalex.org/W2168874984","https://openalex.org/W2259424905","https://openalex.org/W2294238219","https://openalex.org/W2342652911","https://openalex.org/W2476740321","https://openalex.org/W2500751094","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2614326984","https://openalex.org/W2751023760","https://openalex.org/W2764276316","https://openalex.org/W2767651786","https://openalex.org/W2768537477","https://openalex.org/W2782517840","https://openalex.org/W2788728386","https://openalex.org/W2791006446","https://openalex.org/W2791118764","https://openalex.org/W2822065499","https://openalex.org/W2894983388","https://openalex.org/W2898204262","https://openalex.org/W2898381489","https://openalex.org/W2904698365","https://openalex.org/W2940678725","https://openalex.org/W2941387379","https://openalex.org/W2950185713","https://openalex.org/W2963782415","https://openalex.org/W2964156315","https://openalex.org/W2966751049","https://openalex.org/W2967043539","https://openalex.org/W2989871747","https://openalex.org/W2991286101","https://openalex.org/W2992027343","https://openalex.org/W2996433564","https://openalex.org/W3006984222","https://openalex.org/W3034054712","https://openalex.org/W3043183554","https://openalex.org/W3046476394","https://openalex.org/W3048275157","https://openalex.org/W3066454894","https://openalex.org/W3099850646","https://openalex.org/W3107591966","https://openalex.org/W3123390980","https://openalex.org/W3124675547","https://openalex.org/W3127148410","https://openalex.org/W3155760367","https://openalex.org/W3203208792","https://openalex.org/W4220730824","https://openalex.org/W4285187901","https://openalex.org/W4312846227","https://openalex.org/W4320339642","https://openalex.org/W6634571909","https://openalex.org/W6683276898","https://openalex.org/W6789888147"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1,82,92],"classification":[2,176,226],"methods":[3,18,48,205],"based":[4],"on":[5,31,182],"deep":[6,203],"learning":[7,204],"have":[8,49],"led":[9],"to":[10,58,96,122,142,158,173,214,216],"remarkable":[11],"achievements":[12],"in":[13,237],"recent":[14],"years.":[15],"However,":[16],"these":[17,63],"with":[19,73,83,139,166,201,210],"outstanding":[20],"performance":[21],"are":[22,199],"also":[23],"accompanied":[24],"by":[25,107],"problems":[26],"such":[27],"as":[28],"excessive":[29],"dependence":[30],"the":[32,43,98,109,124,133,143,149,155,175,191,231,238],"number":[33],"of":[34,85,185,234],"samples,":[35],"poor":[36],"model":[37],"generalization,":[38],"and":[39,128,131],"time-consuming":[40],"training.":[41],"Additionally,":[42],"previous":[44],"patch-level":[45],"feature":[46,70,145],"extraction":[47,71,146],"some":[50],"limitations,":[51],"for":[52,148],"instance,":[53],"non-local":[54],"information":[55,102],"is":[56,171],"difficult":[57],"model,":[59],"etc.":[60],"To":[61],"solve":[62],"problems,":[64],"this":[65],"paper":[66],"proposes":[67],"an":[68,117],"image-level":[69],"method":[72,193],"transfer":[74,132],"learning.":[75],"Firstly,":[76],"we":[77,115,153],"look":[78],"at":[79,168],"a":[80,90,162],"hyperspectral":[81,127,144,187],"hundreds":[84],"contiguous":[86],"spectral":[87,100,105],"bands":[88,106],"from":[89],"sequential":[91],"perspective.":[93],"We":[94],"attempt":[95],"extract":[97],"global":[99],"variation":[101],"between":[103,126],"adjacent":[104],"using":[108],"optical":[110,134],"flow":[111,135],"estimation":[112,136],"method.":[113],"Secondly,":[114],"propose":[116],"innovative":[118],"data":[119,141],"adaptation":[120],"strategy":[121,164],"bridge":[123],"gap":[125],"video":[129,140],"data,":[130],"network":[137],"pre-trained":[138],"task":[147],"first":[150],"time.":[151],"Thirdly,":[152],"utilize":[154],"traditional":[156],"classifier":[157],"achieve":[159],"classification.":[160],"Simultaneously,":[161],"vote":[163],"combined":[165],"features":[167],"different":[169],"scales":[170],"proposed":[172,192],"improve":[174],"accuracy":[177],"further.":[178],"Extensive,":[179],"well-designed":[180],"experiments":[181],"four":[183],"scenes":[184],"public":[186],"images":[188],"demonstrate":[189],"that":[190,198,228],"(Spe-TL)":[194],"can":[195,222],"obtain":[196],"results":[197],"competitive":[200],"advanced":[202],"under":[206],"various":[207],"sample":[208],"conditions,":[209],"better":[211],"time":[212],"effectiveness":[213],"adapt":[215],"new":[217],"target":[218],"tasks.":[219],"Moreover,":[220],"it":[221],"produce":[223],"more":[224],"detailed":[225],"maps":[227],"subtly":[229],"reflect":[230],"authentic":[232],"distribution":[233],"ground":[235],"objects":[236],"original":[239],"image.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-10-14T00:00:00"}