{"id":"https://openalex.org/W4407316472","doi":"https://doi.org/10.1109/tgrs.2025.3540269","title":"MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data","display_name":"MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407316472","doi":"https://doi.org/10.1109/tgrs.2025.3540269"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3540269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3540269","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5048323018","display_name":"Zijia Zhang","orcid":"https://orcid.org/0000-0001-9034-009X"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijia Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9034-009X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044359278","display_name":"Yaoming Cai","orcid":"https://orcid.org/0000-0002-2609-3036"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoming Cai","raw_affiliation_strings":["School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2609-3036","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013105439","display_name":"Wenyin Gong","orcid":"https://orcid.org/0000-0003-1610-6865"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyin Gong","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1610-6865","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062400971","display_name":"Xiaobo Liu","orcid":"https://orcid.org/0000-0001-8298-7715"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Liu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8298-7715","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng Zeng","orcid":"https://orcid.org/0000-0003-1135-9265"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zeng","raw_affiliation_strings":["School of Artificial Intelligence, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1135-9265","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103283484","display_name":"Gan Yu","orcid":"https://orcid.org/0000-0003-2820-7620"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gan Yu","raw_affiliation_strings":["College of Information Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048323018"],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":null,"apc_paid":null,"fwci":6.1635,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96047868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9932000041007996,"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":0.9932000041007996,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9376999735832214,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9366000294685364,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8427237272262573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524832487106323},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6978508830070496},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.688565731048584},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5605970621109009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.516518771648407},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.475369393825531},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40361714363098145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39018648862838745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36188235878944397},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14846530556678772},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.06611627340316772}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8427237272262573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524832487106323},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6978508830070496},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.688565731048584},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5605970621109009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516518771648407},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.475369393825531},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40361714363098145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39018648862838745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36188235878944397},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14846530556678772},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.06611627340316772},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3540269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3540269","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1958123663","display_name":null,"funder_award_id":"62401632","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2448488107","display_name":null,"funder_award_id":"2024M753661","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3267284637","display_name":null,"funder_award_id":"GZC20233138","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4175141001","display_name":null,"funder_award_id":"2722024BQ070","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6054329997","display_name":null,"funder_award_id":"2024AFB484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8749965162","display_name":null,"funder_award_id":"2023AFB415","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2022485595","https://openalex.org/W2108502868","https://openalex.org/W2108968575","https://openalex.org/W2143381319","https://openalex.org/W2199534117","https://openalex.org/W2567327143","https://openalex.org/W2764251381","https://openalex.org/W2809299793","https://openalex.org/W2937638900","https://openalex.org/W2997739739","https://openalex.org/W3019954098","https://openalex.org/W3033720139","https://openalex.org/W3044063956","https://openalex.org/W3089913216","https://openalex.org/W3098802639","https://openalex.org/W3120225493","https://openalex.org/W3136737181","https://openalex.org/W3138813619","https://openalex.org/W3154706280","https://openalex.org/W3168367808","https://openalex.org/W3176694003","https://openalex.org/W3178695133","https://openalex.org/W3189403855","https://openalex.org/W3201929238","https://openalex.org/W3205485865","https://openalex.org/W3208180646","https://openalex.org/W3209540366","https://openalex.org/W4200226646","https://openalex.org/W4205089469","https://openalex.org/W4210618988","https://openalex.org/W4214710237","https://openalex.org/W4226085482","https://openalex.org/W4229058281","https://openalex.org/W4283792797","https://openalex.org/W4285191214","https://openalex.org/W4313889424","https://openalex.org/W4323338655","https://openalex.org/W4324387468","https://openalex.org/W4361982595","https://openalex.org/W4386483727","https://openalex.org/W4388157208","https://openalex.org/W4392980169","https://openalex.org/W4396528656","https://openalex.org/W4396680544","https://openalex.org/W4399801011","https://openalex.org/W4401726115","https://openalex.org/W6726873649","https://openalex.org/W6760001035","https://openalex.org/W6791353385","https://openalex.org/W6803318553","https://openalex.org/W6841058540"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020"],"abstract_inverted_index":{"The":[0,54,175],"joint":[1],"clustering":[2,27,173],"of":[3,56,93],"multimodal":[4,201],"remote":[5],"sensing":[6],"(RS)":[7],"data":[8,68],"represents":[9],"a":[10,37,81,104,109,135,167,179],"multiobjective":[11,71,86],"optimization":[12,40,141],"challenge":[13],"involving":[14],"conflicting":[15],"modality-specific":[16],"objectives":[17,47],"and":[18,48,122,128,149,159,181,211],"diverse":[19],"regularization":[20],"objectives.":[21],"Current":[22],"approaches":[23],"to":[24,50,185],"multiview":[25,87],"subspace":[26,52],"(MVSC)":[28],"often":[29],"oversimplify":[30],"this":[31,77],"task":[32,107],"by":[33],"transforming":[34],"it":[35],"into":[36,103],"weighted":[38],"single-objective":[39],"problem,":[41],"neglecting":[42],"the":[43,150,197],"intricate":[44],"interactions":[45],"between":[46],"leading":[49],"suboptimal":[51],"representations.":[53],"presence":[55],"quadratic":[57],"decision":[58,138],"variables":[59],"in":[60,134],"MVSC":[61,83,102],"renders":[62],"direct":[63],"application":[64],"on":[65,200,209,213,215],"large-scale":[66],"RS":[67,202],"impracticable":[69],"using":[70,156],"evolutionary":[72],"algorithms":[73],"(MOEAs).":[74],"To":[75,144],"overcome":[76],"challenge,":[78],"we":[79,153],"propose":[80],"novel":[82],"method":[84,100,195],"termed":[85],"attributed":[88,111],"graph":[89,112,151,163,170],"learning":[90,158],"(MMAGL).":[91],"Instead":[92],"optimizing":[94],"every":[95],"self-representation":[96,155],"coefficient":[97],"individually,":[98],"our":[99,193],"transforms":[101],"link":[105],"prediction":[106],"over":[108],"sparse":[110],"that":[113,192],"fuses":[114],"different":[115],"modalities.":[116],"We":[117],"incorporate":[118],"superpixel-based":[119],"sample":[120],"reduction":[121],"proximity-based":[123],"population":[124],"coding,":[125],"leveraging":[126],"spatial":[127],"structural":[129],"priors,":[130],"respectively.":[131],"This":[132],"results":[133],"significantly":[136],"compressed":[137],"space,":[139],"enabling":[140],"with":[142,205],"MOEAs.":[143],"fully":[145],"exploit":[146],"node":[147],"attributes":[148],"structure,":[152],"redefine":[154],"contrastive":[157],"introduce":[160],"an":[161],"efficient":[162],"filtering":[164],"(GF)":[165],"through":[166],"generalized":[168],"spectral":[169],"convolution,":[171],"enhancing":[172],"discriminability.":[174],"proposed":[176],"MMAGL":[177,194],"constitutes":[178],"hybrid":[180],"versatile":[182],"framework,":[183],"adaptable":[184],"any":[186],"MOEA.":[187],"Extensive":[188],"experimental":[189],"evaluations":[190],"demonstrate":[191],"surpasses":[196],"current":[198],"state-of-the-art":[199],"benchmarks":[203],"(e.g.,":[204],"nearly":[206],"2%":[207],"gain":[208],"Trento":[210],"3%":[212],"Houston)":[214],"overall":[216],"accuracy.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
