{"id":"https://openalex.org/W3158557294","doi":"https://doi.org/10.3390/rs13091672","title":"Hyperspectral Image Classification across Different Datasets: A Generalization to Unseen Categories","display_name":"Hyperspectral Image Classification across Different Datasets: A Generalization to Unseen Categories","publication_year":2021,"publication_date":"2021-04-26","ids":{"openalex":"https://openalex.org/W3158557294","doi":"https://doi.org/10.3390/rs13091672","mag":"3158557294"},"language":"en","primary_location":{"id":"doi:10.3390/rs13091672","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13091672","pdf_url":"https://www.mdpi.com/2072-4292/13/9/1672/pdf","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/2072-4292/13/9/1672/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021683307","display_name":"Erting Pan","orcid":"https://orcid.org/0000-0002-6969-7104"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erting Pan","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002618865","display_name":"Yong Ma","orcid":"https://orcid.org/0000-0002-1116-0662"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China","Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366841","display_name":"Fan Fan","orcid":"https://orcid.org/0000-0002-7507-1810"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Fan","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China","Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021381864","display_name":"Xiaoguang Mei","orcid":"https://orcid.org/0000-0002-0239-8580"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Mei","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China","Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002872664","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0001-5893-4090"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China","Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100366841"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.5273,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90162085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"9","first_page":"1672","last_page":"1672"},"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":0.9779000282287598,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9753000140190125,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9273042678833008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7533167600631714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6600902080535889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6087555885314941},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5510172247886658},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4435542821884155},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4416763186454773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3619893789291382},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32021570205688477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12665459513664246}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9273042678833008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533167600631714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6600902080535889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6087555885314941},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5510172247886658},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4435542821884155},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4416763186454773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3619893789291382},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32021570205688477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12665459513664246},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13091672","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13091672","pdf_url":"https://www.mdpi.com/2072-4292/13/9/1672/pdf","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:61b62fe19af84a67af06cfa743ff71ad","is_oa":true,"landing_page_url":"https://doaj.org/article/61b62fe19af84a67af06cfa743ff71ad","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 9, p 1672 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/9/1672/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13091672","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 13; Issue 9; Pages: 1672","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13091672","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13091672","pdf_url":"https://www.mdpi.com/2072-4292/13/9/1672/pdf","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":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1526374365","display_name":null,"funder_award_id":"61805181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6362778646","display_name":null,"funder_award_id":"61903279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7703102188","display_name":null,"funder_award_id":"61705170","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3158557294.pdf","grobid_xml":"https://content.openalex.org/works/W3158557294.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W652269744","https://openalex.org/W1984251878","https://openalex.org/W2001298023","https://openalex.org/W2043665634","https://openalex.org/W2106777458","https://openalex.org/W2108598243","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2153579005","https://openalex.org/W2171061940","https://openalex.org/W2194775991","https://openalex.org/W2251771443","https://openalex.org/W2323917763","https://openalex.org/W2396056163","https://openalex.org/W2406184334","https://openalex.org/W2412588858","https://openalex.org/W2508058002","https://openalex.org/W2522698497","https://openalex.org/W2552383788","https://openalex.org/W2611632661","https://openalex.org/W2745252301","https://openalex.org/W2770315464","https://openalex.org/W2774446296","https://openalex.org/W2782517596","https://openalex.org/W2783837693","https://openalex.org/W2791303772","https://openalex.org/W2791332680","https://openalex.org/W2792095806","https://openalex.org/W2800371750","https://openalex.org/W2808776742","https://openalex.org/W2889861425","https://openalex.org/W2892075618","https://openalex.org/W2910453440","https://openalex.org/W2934977212","https://openalex.org/W2942170965","https://openalex.org/W2942454403","https://openalex.org/W2945918281","https://openalex.org/W2956367483","https://openalex.org/W2962679318","https://openalex.org/W2962762077","https://openalex.org/W2962903908","https://openalex.org/W2963499153","https://openalex.org/W2963571336","https://openalex.org/W2964105864","https://openalex.org/W2964159778","https://openalex.org/W2964248207","https://openalex.org/W2985299909","https://openalex.org/W2991616716","https://openalex.org/W2998823444","https://openalex.org/W3035201044","https://openalex.org/W3080368312","https://openalex.org/W3093905312","https://openalex.org/W3100011500","https://openalex.org/W3100499011","https://openalex.org/W3102274762","https://openalex.org/W3127338020","https://openalex.org/W3128892380","https://openalex.org/W3143107425","https://openalex.org/W4240485910","https://openalex.org/W4320339642","https://openalex.org/W6678470764","https://openalex.org/W6750035952"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W4286910063","https://openalex.org/W2163707935","https://openalex.org/W83146503","https://openalex.org/W2169074127","https://openalex.org/W202723009","https://openalex.org/W2188612292"],"abstract_inverted_index":{"With":[0],"the":[1,7,17,33,61,85,97,147,176,181,192,196,214,221,237],"rapid":[2],"developments":[3],"of":[4,9,35,133,172,229,241],"hyperspectral":[5,11,23,40,52,90,129,138,148,178],"imaging,":[6],"cost":[8],"collecting":[10],"data":[12,53],"has":[13,25,142],"been":[14,26,144],"lower,":[15],"while":[16],"demand":[18],"for":[19,118],"reliable":[20],"and":[21,47,124,163,180,187,217,239],"detailed":[22],"annotations":[24],"much":[27],"more":[28],"substantial.":[29],"However,":[30,140],"limited":[31],"by":[32,175,195],"difficulties":[34],"labelling":[36,137],"annotations,":[37],"most":[38],"existing":[39],"image":[41],"(HSI)":[42],"classification":[43,71],"methods":[44,234],"are":[45,77,92],"trained":[46,75],"evaluated":[48,189],"on":[49,191,226],"a":[50,68,115,155,170],"single":[51],"cube.":[54],"It":[55,131],"brings":[56],"two":[57,227],"significant":[58],"challenges.":[59],"On":[60,84],"one":[62,185],"hand,":[63,87],"many":[64],"algorithms":[65],"have":[66,235],"reached":[67],"nearly":[69],"perfect":[70],"accuracy,":[72],"but":[73],"their":[74],"models":[76],"hard":[78],"to":[79,81,136,207],"generalize":[80],"other":[82,86],"datasets.":[83,130],"since":[88],"different":[89,100,104,128,232],"datasets":[91,101,173,230],"usually":[93],"not":[94],"collected":[95],"in":[96,110,146,199,213,220,244],"same":[98,177],"scene,":[99],"will":[102],"contain":[103],"classes.":[105],"To":[106],"address":[107],"these":[108],"issues,":[109],"this":[111,151],"paper,":[112],"we":[113,153,168,202],"propose":[114],"new":[116],"paradigm":[117],"HSI":[119,245],"classification,":[120],"which":[121],"is":[122,132],"training":[123,215],"evaluating":[125],"separately":[126],"across":[127],"great":[134],"help":[135],"data.":[139],"it":[141,190],"rarely":[143],"studied":[145],"community.":[149],"In":[150],"work,":[152],"utilize":[154],"three-phase":[156],"scheme,":[157],"including":[158],"feature":[159,161],"embedding,":[160],"mapping,":[162],"label":[164,204],"reasoning.":[165],"More":[166],"specifically,":[167],"select":[169],"pair":[171],"acquired":[174],"sensor,":[179],"classifier":[182],"learns":[183],"from":[184],"dataset":[186],"then":[188],"other.":[193],"Inspired":[194],"latest":[197],"advances":[198],"zero-shot":[200,242],"learning,":[201],"introduce":[203],"semantic":[205],"representation":[206],"establish":[208],"associations":[209],"between":[210],"seen":[211],"categories":[212,219],"set":[216],"unseen":[218],"testing":[222],"set.":[223],"Extensive":[224],"experiments":[225],"pairs":[228],"with":[231],"comparative":[233],"shown":[236],"effectiveness":[238],"potential":[240],"learning":[243],"classification.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2021-05-10T00:00:00"}
