{"id":"https://openalex.org/W4410950238","doi":"https://doi.org/10.1109/jstars.2025.3575292","title":"CLPM: A Hybrid Network With Cross-Space Learning and Perception-Driven Mechanism for Long-Tailed Remote Sensing Image Classification","display_name":"CLPM: A Hybrid Network With Cross-Space Learning and Perception-Driven Mechanism for Long-Tailed Remote Sensing Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410950238","doi":"https://doi.org/10.1109/jstars.2025.3575292"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3575292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3575292","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":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://doi.org/10.1109/jstars.2025.3575292","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000077347","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-6731-822X"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Intelligent Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6731-822X","affiliations":[{"raw_affiliation_string":"School of Intelligent Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Kong","orcid":"https://orcid.org/0009-0005-6808-7952"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Kong","raw_affiliation_strings":["School of Intelligent Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-6808-7952","affiliations":[{"raw_affiliation_string":"School of Intelligent Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009114126","display_name":"Changfeng Jing","orcid":"https://orcid.org/0000-0002-1270-5353"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changfeng Jing","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences (Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1270-5353","affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences (Beijing), Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xing Xing","orcid":"https://orcid.org/0009-0005-3239-2226"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xing","raw_affiliation_strings":["School of Intelligent Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-3239-2226","affiliations":[{"raw_affiliation_string":"School of Intelligent Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.762,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.734723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":null,"first_page":"14272","last_page":"14290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9872000217437744,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9861999750137329,"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/mechanism","display_name":"Mechanism (biology)","score":0.6561250686645508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6316566467285156},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5811672806739807},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5276046395301819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4751705527305603},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40096810460090637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3309233486652374},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12349957227706909}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6561250686645508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316566467285156},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5811672806739807},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5276046395301819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4751705527305603},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40096810460090637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3309233486652374},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12349957227706909},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3575292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3575292","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":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:6d8ceaa3ea0a49479f37ef77a1f11541","is_oa":true,"landing_page_url":"https://doaj.org/article/6d8ceaa3ea0a49479f37ef77a1f11541","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 18, Pp 14272-14290 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3575292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3575292","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":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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2074888575","https://openalex.org/W2074909897","https://openalex.org/W2088889013","https://openalex.org/W2097117768","https://openalex.org/W2145001205","https://openalex.org/W2148143831","https://openalex.org/W2194775991","https://openalex.org/W2283168383","https://openalex.org/W2347115704","https://openalex.org/W2592962403","https://openalex.org/W2767106145","https://openalex.org/W2771838132","https://openalex.org/W2793638091","https://openalex.org/W2867270703","https://openalex.org/W2884561390","https://openalex.org/W2899095986","https://openalex.org/W2922509574","https://openalex.org/W2954996726","https://openalex.org/W2955547856","https://openalex.org/W2962749812","https://openalex.org/W2962876782","https://openalex.org/W2962984188","https://openalex.org/W2963163009","https://openalex.org/W2963691377","https://openalex.org/W2994992990","https://openalex.org/W3006792692","https://openalex.org/W3022140654","https://openalex.org/W3034654297","https://openalex.org/W3034711780","https://openalex.org/W3081684346","https://openalex.org/W3088162569","https://openalex.org/W3096688134","https://openalex.org/W3148105697","https://openalex.org/W3148270135","https://openalex.org/W3158299003","https://openalex.org/W3176307736","https://openalex.org/W3177230409","https://openalex.org/W3200466256","https://openalex.org/W3202232857","https://openalex.org/W3204988419","https://openalex.org/W4214718285","https://openalex.org/W4281492582","https://openalex.org/W4285123352","https://openalex.org/W4295832403","https://openalex.org/W4309605561","https://openalex.org/W4310588385","https://openalex.org/W4312244159","https://openalex.org/W4312344855","https://openalex.org/W4312986563","https://openalex.org/W4313827544","https://openalex.org/W4318617442","https://openalex.org/W4318767332","https://openalex.org/W4319786822","https://openalex.org/W4366352743","https://openalex.org/W4377235500","https://openalex.org/W4385577551","https://openalex.org/W4385938120","https://openalex.org/W4386913491","https://openalex.org/W4390873567","https://openalex.org/W4391579028","https://openalex.org/W4392114214","https://openalex.org/W4392122189","https://openalex.org/W4393950954","https://openalex.org/W4399731493","https://openalex.org/W4400229943","https://openalex.org/W4401841981","https://openalex.org/W4402613259","https://openalex.org/W4402613307","https://openalex.org/W4402643477","https://openalex.org/W4403443212","https://openalex.org/W4404520625","https://openalex.org/W4404520710","https://openalex.org/W6637373629","https://openalex.org/W6682124274","https://openalex.org/W6760201928","https://openalex.org/W6764733053","https://openalex.org/W6776700526","https://openalex.org/W6803641788"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518","https://openalex.org/W2370906336"],"abstract_inverted_index":{"Long-tailed":[0],"distribution":[1,149],"is":[2,48,75,101,168,193],"a":[3,40,64,162],"common":[4],"issue":[5],"in":[6,51,233],"remote":[7,151],"sensing":[8,152],"image":[9],"classification":[10,80],"(RSIC),":[11],"and":[12,71,114,137,179,204,222,240],"many":[13],"datasets":[14,196],"suffer":[15],"from":[16,84],"severe":[17],"class":[18],"imbalance.":[19],"This":[20,170],"imbalance":[21],"often":[22],"causes":[23],"the":[24,29,36,42,45,54,58,79,85,105,120,128,141,145,174,184,237],"classifier":[25],"to":[26,77,103,131,150,226],"focus":[27],"on":[28,68,160,195],"head":[30,178,221],"classes":[31,47,181,213],"with":[32,197],"more":[33],"samples,":[34],"neglecting":[35],"tail":[37,46,86,180,212],"classes.":[38,87,224],"As":[39],"result,":[41],"precision":[43,185],"of":[44,57,82,92,108,177,186,191],"reduced,":[49],"which":[50],"turn":[52],"affects":[53],"generalization":[55,133],"ability":[56],"classifier.":[59],"To":[60],"address":[61],"this":[62],"problem,":[63,239],"hybrid":[65],"network":[66,90],"based":[67],"Cross-Space":[69,96],"Learning":[70,98],"Perception-Driven":[72],"Mechanism":[73],"(CLPM)":[74],"proposed":[76],"improve":[78,132],"accuracy":[81,214],"samples":[83,110],"The":[88,95,189],"CLPM":[89,142,192,209,229],"consists":[91],"three":[93],"components.":[94],"Representation":[97],"Branch":[99,124],"(CS-RLB)":[100],"designed":[102],"enhance":[104],"representation":[106],"capability":[107],"tail-class":[109],"by":[111],"integrating":[112],"multi-scale":[113],"multi-region":[115],"spatial":[116],"features.":[117],"In":[118],"parallel,":[119],"Adaptive":[121],"Perception":[122],"Classification":[123],"(AP-CB)":[125],"dynamically":[126],"adjusts":[127],"receptive":[129],"fields":[130],"across":[134],"different":[135],"resolutions":[136],"challenging":[138],"scenarios.":[139],"Additionally,":[140],"innovatively":[143],"applies":[144],"von":[146],"Mises-Fisher":[147],"(vMF)":[148],"images":[153],"for":[154,220],"high-dimensional":[155],"inter-class":[156],"feature":[157,187],"modeling.":[158],"Building":[159],"this,":[161],"vMF-based":[163],"Contrastive":[164],"Loss":[165],"(vMF-CL)":[166],"function":[167],"proposed.":[169],"approach":[171],"effectively":[172],"coordinates":[173],"learning":[175],"processes":[176],"while":[182,215],"enhancing":[183],"representation.":[188],"effectiveness":[190],"validated":[194],"varying":[198],"balance":[199],"ratios,":[200],"including":[201],"SIRI-WHU,":[202],"CLRS,":[203],"NWPU-RESISC45.":[205],"Results":[206],"show":[207],"that":[208],"significantly":[210],"improves":[211],"maintaining":[216],"high":[217],"recognition":[218,235],"rates":[219],"middle":[223],"Compared":[225],"existing":[227],"methods,":[228],"has":[230],"significant":[231],"advantages":[232],"overall":[234],"accuracy,":[236],"long-tailed":[238],"diversity":[241],"adaptation.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
