{"id":"https://openalex.org/W4404101686","doi":"https://doi.org/10.1109/tgrs.2024.3492500","title":"Dual-Feature Attention-Based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data","display_name":"Dual-Feature Attention-Based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404101686","doi":"https://doi.org/10.1109/tgrs.2024.3492500"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3492500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3492500","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/A5064694486","display_name":"Shufang Xu","orcid":"https://orcid.org/0000-0002-6802-9083"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shufang Xu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China","College of Computer Science and Software Engi neering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Computer Science and Software Engi neering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinchen Ding","orcid":"https://orcid.org/0009-0005-4467-8627"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchen Ding","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101397279","display_name":"Yiyan Zhang","orcid":"https://orcid.org/0000-0001-7584-381X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyan Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Hohai University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032327375","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0002-3786-4617"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Hohai University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044826967","display_name":"Hongmin Gao","orcid":"https://orcid.org/0000-0002-8404-2464"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Gao","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064694486"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":2.3905,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90492695,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9465000033378601,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9465000033378601,"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/computer-science","display_name":"Computer science","score":0.7605624198913574},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6189380884170532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5775333046913147},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5387002825737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47682374715805054},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4502812623977661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41087770462036133},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1649969220161438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605624198913574},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6189380884170532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5775333046913147},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5387002825737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47682374715805054},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4502812623977661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41087770462036133},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1649969220161438},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3492500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3492500","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/G220976484","display_name":null,"funder_award_id":"KF20230301","funder_id":"https://openalex.org/F4320332588","funder_display_name":"Shanghai Key Laboratory of Intelligent Information Processing"},{"id":"https://openalex.org/G4658630977","display_name":null,"funder_award_id":"62071168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7825242354","display_name":null,"funder_award_id":"5108-202340062A-1-1-ZN","funder_id":"https://openalex.org/F4320326707","funder_display_name":"State Grid Corporation 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/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"},{"id":"https://openalex.org/F4320332588","display_name":"Shanghai Key Laboratory of Intelligent Information Processing","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2335197470","https://openalex.org/W2741943936","https://openalex.org/W2884585870","https://openalex.org/W2919174461","https://openalex.org/W2937638900","https://openalex.org/W2955454611","https://openalex.org/W2963764569","https://openalex.org/W2997739739","https://openalex.org/W3004968762","https://openalex.org/W3008439211","https://openalex.org/W3023371261","https://openalex.org/W3035524453","https://openalex.org/W3081753142","https://openalex.org/W3087124270","https://openalex.org/W3099850646","https://openalex.org/W3108655343","https://openalex.org/W3114767222","https://openalex.org/W3133902755","https://openalex.org/W3135282456","https://openalex.org/W3136140595","https://openalex.org/W3137191419","https://openalex.org/W3139578059","https://openalex.org/W3168972675","https://openalex.org/W3171153522","https://openalex.org/W3199708111","https://openalex.org/W3201597391","https://openalex.org/W3204731106","https://openalex.org/W3205485865","https://openalex.org/W3212022090","https://openalex.org/W4200226646","https://openalex.org/W4205089469","https://openalex.org/W4206028074","https://openalex.org/W4206111836","https://openalex.org/W4210642697","https://openalex.org/W4211112734","https://openalex.org/W4283792797","https://openalex.org/W4285191214","https://openalex.org/W4289641562","https://openalex.org/W4292825900","https://openalex.org/W4293193074","https://openalex.org/W4309367935","https://openalex.org/W4317738558","https://openalex.org/W4321380750","https://openalex.org/W4322576316","https://openalex.org/W4322706895","https://openalex.org/W4366148227","https://openalex.org/W4378965891","https://openalex.org/W4385245566","https://openalex.org/W4386212324","https://openalex.org/W4386483727","https://openalex.org/W4387618885","https://openalex.org/W4388505065","https://openalex.org/W4389778595","https://openalex.org/W4401732412","https://openalex.org/W6631216910","https://openalex.org/W6685380521","https://openalex.org/W6791353385","https://openalex.org/W6791742336"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"The":[0,102,152,201],"integrated":[1],"use":[2],"of":[3,39,49,86,133,149],"multisource":[4],"remote":[5],"sensing":[6],"(RS)":[7],"data":[8,32,43],"in":[9],"Earth":[10],"observation":[11],"missions":[12],"has":[13],"garnered":[14],"considerable":[15],"attention.":[16],"Hyperspectral":[17],"images":[18,96],"(HSIs)":[19],"offer":[20],"extensive":[21,62],"spatial":[22,110],"and":[23,29,41,109,126,136,144,162,171,177,189],"spectral":[24],"detail,":[25],"whereas":[26],"light":[27],"detection":[28],"ranging":[30],"(LiDAR)":[31],"provide":[33],"elevation":[34],"information.":[35],"Therefore,":[36],"the":[37,46,93,98,120,130,141,146,150,194],"fusion":[38],"HSI":[40,188],"LiDAR":[42,190],"can":[44],"enhance":[45],"accuracy":[47],"(ACC)":[48],"image":[50],"classification.":[51,181],"However,":[52],"contemporary":[53],"supervised":[54],"multimodal":[55,94],"deep":[56],"learning":[57,129],"techniques":[58],"depend":[59],"heavily":[60],"on":[61,184],"human-annotated":[63],"training":[64,165],"datasets.":[65],"To":[66],"address":[67],"this":[68,138,204],"challenge,":[69],"we":[70],"propose":[71],"a":[72,79,163],"contrastive":[73,100,169],"prototypical":[74],"clustering":[75,160],"network":[76],"enhanced":[77,87],"with":[78],"dual-feature":[80,104],"attention":[81,105,111],"module.":[82],"Specifically,":[83],"two":[84],"sets":[85],"modal":[88],"views":[89],"are":[90,155],"constructed":[91],"from":[92],"RS":[95],"for":[97,113,203],"subsequent":[99],"learning.":[101],"proposed":[103,195],"module":[106,139],"emphasizes":[107],"channel":[108,135],"separately":[112],"each":[114,134],"modality,":[115],"integrating":[116],"both":[117],"to":[118,174],"adjust":[119],"feature":[121],"representation":[122],"across":[123],"different":[124],"channels":[125],"positions.":[127],"By":[128],"importance":[131],"weights":[132],"position,":[137],"highlights":[140],"hierarchical":[142],"structure":[143],"enhances":[145],"discriminative":[147],"quality":[148],"features.":[151],"learned":[153],"features":[154],"utilized":[156],"through":[157],"an":[158],"online":[159],"mechanism":[161],"self-supervised":[164],"strategy":[166],"that":[167,193],"combines":[168],"loss":[170,173],"cluster":[172],"achieve":[175],"efficient":[176],"effective":[178],"land":[179],"cover":[180],"Extensive":[182],"experiments":[183],"three":[185],"widely":[186],"used":[187],"datasets":[191],"demonstrate":[192],"method":[196,205],"outperforms":[197],"current":[198],"state-of-the-art":[199],"approaches.":[200],"code":[202],"is":[206],"openly":[207],"available":[208],"at:":[209],"<uri":[210],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[211],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/RogsDing/DFCPC</uri>.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
