{"id":"https://openalex.org/W4405056202","doi":"https://doi.org/10.1109/tgrs.2024.3511614","title":"Graph U-Net With Topology-Feature Awareness Pooling for Hyperspectral Image Classification","display_name":"Graph U-Net With Topology-Feature Awareness Pooling for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405056202","doi":"https://doi.org/10.1109/tgrs.2024.3511614"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3511614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3511614","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/A5048207713","display_name":"Rong Chen","orcid":"https://orcid.org/0000-0002-7065-9930"},"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":true,"raw_author_name":"Rong Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043777501","display_name":"Gemine Vivone","orcid":"https://orcid.org/0000-0001-9542-0638"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gemine Vivone","raw_affiliation_strings":["National Research Council, Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council, Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028229932","display_name":"Guanghui Li","orcid":"https://orcid.org/0000-0002-6884-5670"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Li","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038432832","display_name":"Chenglong Dai","orcid":"https://orcid.org/0000-0002-1908-0026"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Dai","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Danfeng Hong","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Inria, CNRS, Grenoble INP, LJK, University of Grenoble Alpes, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Inria, CNRS, Grenoble INP, LJK, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048207713"],"corresponding_institution_ids":["https://openalex.org/I13175533"],"apc_list":null,"apc_paid":null,"fwci":2.9611,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92194059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"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":0.9634000062942505,"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":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7707825303077698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560813784599304},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5693186521530151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.557647705078125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534258484840393},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5350291728973389},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4780600368976593},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.44456619024276733},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4395166337490082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39445924758911133},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3898835778236389},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30972689390182495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19784963130950928},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19417360424995422},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11712098121643066}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7707825303077698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560813784599304},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5693186521530151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.557647705078125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534258484840393},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5350291728973389},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4780600368976593},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.44456619024276733},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4395166337490082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39445924758911133},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3898835778236389},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30972689390182495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19784963130950928},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19417360424995422},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11712098121643066},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3511614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3511614","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/G2908032384","display_name":null,"funder_award_id":"62372214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8549973595","display_name":null,"funder_award_id":"202206790097","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1950365613","https://openalex.org/W1988386267","https://openalex.org/W1990895816","https://openalex.org/W2097092275","https://openalex.org/W2097915756","https://openalex.org/W2118246710","https://openalex.org/W2128084896","https://openalex.org/W2194775991","https://openalex.org/W2609880332","https://openalex.org/W2764276316","https://openalex.org/W2777427437","https://openalex.org/W2791006446","https://openalex.org/W2804902458","https://openalex.org/W2808098982","https://openalex.org/W2892621946","https://openalex.org/W2898381489","https://openalex.org/W2907101105","https://openalex.org/W2913594625","https://openalex.org/W2962949934","https://openalex.org/W2963091558","https://openalex.org/W2963446712","https://openalex.org/W2991494819","https://openalex.org/W2992919850","https://openalex.org/W2999446243","https://openalex.org/W3028306149","https://openalex.org/W3034100957","https://openalex.org/W3047443805","https://openalex.org/W3092916389","https://openalex.org/W3103695279","https://openalex.org/W3105357426","https://openalex.org/W3107591966","https://openalex.org/W3114720220","https://openalex.org/W3124851637","https://openalex.org/W3128129382","https://openalex.org/W3133780103","https://openalex.org/W3170982678","https://openalex.org/W3189222621","https://openalex.org/W3200705513","https://openalex.org/W3202748052","https://openalex.org/W3205965083","https://openalex.org/W4205615939","https://openalex.org/W4210541032","https://openalex.org/W4210794570","https://openalex.org/W4214711995","https://openalex.org/W4220777959","https://openalex.org/W4226070402","https://openalex.org/W4226467560","https://openalex.org/W4240485910","https://openalex.org/W4280536774","https://openalex.org/W4281568429","https://openalex.org/W4281728311","https://openalex.org/W4285169977","https://openalex.org/W4285180452","https://openalex.org/W4293733592","https://openalex.org/W4309374905","https://openalex.org/W4312891224","https://openalex.org/W4313627848","https://openalex.org/W4319069095","https://openalex.org/W4319336416","https://openalex.org/W4320339642","https://openalex.org/W4321483944","https://openalex.org/W4323338598","https://openalex.org/W4327521838","https://openalex.org/W4367320924","https://openalex.org/W4378082492","https://openalex.org/W4384162010","https://openalex.org/W4386077592","https://openalex.org/W4386432179","https://openalex.org/W4386634481","https://openalex.org/W4387331383","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2953234277","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2748667022","https://openalex.org/W3015684221","https://openalex.org/W3211770882","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"Nowadays,":[0],"various":[1],"graph":[2,25,31,51,57,97,106,160,165],"convolutional":[3],"networks":[4,38],"(GCNs)":[5],"to":[6,41,47,69,115,124,128,157,198],"process":[7,83,151],"graph-structured":[8],"data":[9],"have":[10],"been":[11],"proposed":[12,209,235],"for":[13,61,108],"hyperspectral":[14],"image":[15],"(HSI)":[16],"classification.":[17,125],"Nevertheless,":[18],"most":[19],"GCN-based":[20],"HSI":[21,62,109,214],"classification":[22,63,110],"methods":[23,59],"emphasize":[24],"node":[26,66,140,149,170],"feature":[27,67,141],"aggregation":[28],"instead":[29],"of":[30,185,220,225,233],"pooling,":[32],"resulting":[33],"in":[34],"them":[35],"being":[36],"shallow":[37],"and":[39,73,84,119,139,154,223],"unable":[40],"extract":[42,116],"deep":[43,113],"discriminative":[44],"features.":[45,204],"Besides,":[46],"obtain":[48],"the":[49,53,135,148,183,188,208,231,234],"new":[50],"after":[52],"pooling":[54,58,102,189],"layer,":[55],"current":[56],"used":[60,197],"just":[64],"consider":[65],"information":[68,87,142,186],"select":[70],"important":[71],"nodes":[72,122,161,174],"directly":[74],"discard":[75],"unselected":[76],"nodes,":[77],"which":[78,180],"could":[79],"be":[80,178],"a":[81,95,112,130,192],"subjective":[82],"may":[85,176],"cause":[86],"loss.":[88],"To":[89],"solve":[90],"this":[91],"issue,":[92],"we":[93,206],"propose":[94],"novel":[96],"U-Net":[98],"with":[99,238],"topology-feature":[100],"awareness":[101],"(the":[103],"so-called":[104],"TFAP":[105],"U-Net)":[107],"considering":[111],"network":[114],"compelling":[117],"features":[118,171],"automatically":[120],"selecting":[121],"beneficial":[123],"More":[126],"specifically,":[127],"establish":[129],"more":[131,152,163],"precise":[132],"pooled":[133],"graph,":[134],"graph\u2019s":[136],"topology":[137],"structure":[138],"are":[143],"taken":[144],"into":[145],"account,":[146],"making":[147],"selection":[150],"convincing":[153],"objective.":[155],"Furthermore,":[156],"allow":[158],"that":[159,175],"preserve":[162],"useful":[164],"information,":[166],"our":[167],"method":[168,210],"aggregates":[169],"from":[172],"neighboring":[173],"not":[177],"selected,":[179],"can":[181],"alleviate":[182],"loss":[184],"during":[187],"process.":[190],"Moreover,":[191],"cross-attention":[193],"module":[194],"(CAM)":[195],"is":[196],"filter":[199],"out":[200],"irrelevant":[201],"or":[202],"noisy":[203],"Finally,":[205],"evaluate":[207],"on":[211],"three":[212],"public":[213],"datasets,":[215],"i.e.,":[216],"Indian":[217],"Pines,":[218],"University":[219,224],"Pavia":[221],"(PaviaU),":[222],"Houston.":[226],"The":[227],"experimental":[228],"results":[229],"demonstrate":[230],"superiority":[232],"approach":[236],"compared":[237],"other":[239],"state-of-the-art":[240],"methods.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
