{"id":"https://openalex.org/W4322576639","doi":"https://doi.org/10.1109/lgrs.2023.3249791","title":"Interclass Similarity Transfer for Imbalanced Aerial Scene Classification","display_name":"Interclass Similarity Transfer for Imbalanced Aerial Scene Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322576639","doi":"https://doi.org/10.1109/lgrs.2023.3249791"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3249791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3249791","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5030586470","display_name":"Changxing Jing","orcid":"https://orcid.org/0000-0002-7866-7476"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changxing Jing","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038473009","display_name":"Lexing Huang","orcid":"https://orcid.org/0009-0009-0262-2325"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lexing Huang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049595858","display_name":"Senlin Cai","orcid":"https://orcid.org/0009-0007-2345-635X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senlin Cai","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052754372","display_name":"Yihong Zhuang","orcid":"https://orcid.org/0000-0002-3176-3217"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Zhuang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071318199","display_name":"Zhenlong Xiao","orcid":"https://orcid.org/0000-0003-2124-8315"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlong Xiao","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772804","display_name":"Yue Huang","orcid":"https://orcid.org/0000-0002-3913-9400"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5030586470"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.4289,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83354532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9959999918937683,"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":0.9959999918937683,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9807999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7358635663986206},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6735578775405884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6496556997299194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5905084609985352},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5629488229751587},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5098156332969666},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4816102683544159},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.47639980912208557},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47237637639045715},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.45530954003334045},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4216213524341583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35944870114326477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32512366771698},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.316361665725708},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09889405965805054}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7358635663986206},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6735578775405884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6496556997299194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905084609985352},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5629488229751587},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5098156332969666},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4816102683544159},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.47639980912208557},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47237637639045715},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.45530954003334045},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4216213524341583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35944870114326477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32512366771698},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.316361665725708},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09889405965805054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3249791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3249791","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4629629349","display_name":null,"funder_award_id":"82272071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4851854195","display_name":null,"funder_award_id":"62271430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5115423372","display_name":null,"funder_award_id":"61971369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5339618318","display_name":null,"funder_award_id":"82172033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6130862679","display_name":null,"funder_award_id":"U19B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7418738665","display_name":null,"funder_award_id":"52105126","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2339172597","https://openalex.org/W2440599146","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2794472454","https://openalex.org/W2963703197","https://openalex.org/W2964137095","https://openalex.org/W3016055451","https://openalex.org/W3022140654","https://openalex.org/W3024333596","https://openalex.org/W3105577662","https://openalex.org/W3165209762","https://openalex.org/W3181391941","https://openalex.org/W4213360982","https://openalex.org/W4214910799","https://openalex.org/W4224933328","https://openalex.org/W4226443111","https://openalex.org/W4285106784","https://openalex.org/W4285820546","https://openalex.org/W4309325582","https://openalex.org/W4376561633","https://openalex.org/W6776700526","https://openalex.org/W6779304510","https://openalex.org/W6788840927","https://openalex.org/W6790859549"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W4390929683"],"abstract_inverted_index":{"Imbalanced":[0],"class":[1,65,69,85,135],"distributions":[2,107],"widely":[3],"exist":[4],"in":[5,140,175],"real-world":[6],"aerial":[7,15,153,159,185],"images,":[8],"which":[9],"brings":[10],"a":[11,123,172],"significant":[12],"challenge":[13],"to":[14,19,58,66,136],"scene":[16,40,154],"classification":[17,155,181],"due":[18],"the":[20,24,32,36,50,60,63,67,77,80,88,91,101,133,145,148,157],"undesirable":[21],"bias":[22],"toward":[23],"majority":[25,64],"classes":[26,41,95,110],"as":[27,29],"well":[28],"overfitting":[30],"for":[31,132,151],"minority":[33,68,109,134,180],"classes.":[34],"Although":[35],"similarity":[37,92,120],"between":[38],"different":[39,94],"may":[42,86],"be":[43,47,98,113,130],"inconsistent,":[44],"they":[45],"can":[46],"measured":[48],"by":[49,100,115,171],"mean":[51,102],"of":[52,62,83,103,108,126,147,183],"feature":[53,72,81,104],"statistics.":[54,73,105],"This":[55],"motivates":[56],"us":[57],"transfer":[59,117],"statistics":[61,82],"having":[70],"similar":[71],"Specifically,":[74],"based":[75],"on":[76,156],"observation":[78],"that":[79],"each":[84],"follow":[87],"Gaussian":[89],"distribution,":[90],"across":[93],"would":[96,111],"thus":[97],"described":[99],"The":[106,166],"afterward":[112],"calibrated":[114],"statistical":[116],"via":[118],"interclass":[119],"(STAIRS),":[121],"and":[122,163,179],"sufficient":[124],"number":[125],"features":[127],"could":[128],"hence":[129],"generated":[131],"improve":[137],"its":[138],"performance":[139,178,182],"classifier":[141],"learning.":[142],"We":[143],"demonstrate":[144],"effectiveness":[146],"proposed":[149,167],"method":[150,168],"imbalanced":[152,158,184],"image":[160],"dataset":[161],"(AID)":[162],"NWPU-RESISC45":[164],"datasets.":[165],"outperforms":[169],"alternatives":[170],"large":[173],"margin":[174],"both":[176],"overall":[177],"scenes.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
