{"id":"https://openalex.org/W4407949338","doi":"https://doi.org/10.1109/tgrs.2025.3543556","title":"Hypergraph BiFormer for Semantic Segmentation of High-Resolution Remote Sensing Images","display_name":"Hypergraph BiFormer for Semantic Segmentation of High-Resolution Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407949338","doi":"https://doi.org/10.1109/tgrs.2025.3543556"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3543556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3543556","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/A5074535695","display_name":"Weipeng Jing","orcid":"https://orcid.org/0000-0001-7933-6946"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weipeng Jing","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7933-6946","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665664","display_name":"Wenjun Zhang","orcid":"https://orcid.org/0000-0002-3162-0259"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Zhang","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3162-0259","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031208819","display_name":"Donglin Di","orcid":"https://orcid.org/0000-0002-2270-3378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donglin Di","raw_affiliation_strings":["Space AI, Li Auto, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space AI, Li Auto, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388741","display_name":"Chao Li","orcid":"https://orcid.org/0000-0003-1932-7698"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1932-7698","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072229802","display_name":"Mahmoud Emam","orcid":"https://orcid.org/0000-0002-1290-4272"},"institutions":[{"id":"https://openalex.org/I63601056","display_name":"Menoufia University","ror":"https://ror.org/05sjrb944","country_code":"EG","type":"education","lineage":["https://openalex.org/I63601056"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mahmoud Emam","raw_affiliation_strings":["Faculty of Artificial Intelligence, Menoufia University, Shibin El Kom, Egypt","Faculty of Artificial Intelligence, Menoufia University, Shebin E1-Koom, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-1290-4272","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence, Menoufia University, Shibin El Kom, Egypt","institution_ids":["https://openalex.org/I63601056"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence, Menoufia University, Shebin E1-Koom, Egypt","institution_ids":["https://openalex.org/I63601056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089986388","display_name":"Ajmal Mian","orcid":"https://orcid.org/0000-0002-5206-3842"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ajmal Mian","raw_affiliation_strings":["Department of Computer Science, The University of Western Australia, Crawley, WA, Australia","Department of Computer Science, University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5206-3842","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]},{"raw_affiliation_string":"Department of Computer Science, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.9807,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.98610296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9732000231742859,"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":0.9732000231742859,"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":0.9556999802589417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6432452201843262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6174578666687012},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5973895192146301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5746992230415344},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.547069251537323},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.504609227180481},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.48632484674453735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4454101026058197},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44251957535743713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42612171173095703},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29460346698760986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11759421229362488}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6432452201843262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6174578666687012},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5973895192146301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746992230415344},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.547069251537323},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.504609227180481},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.48632484674453735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4454101026058197},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44251957535743713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42612171173095703},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29460346698760986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11759421229362488},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2025.3543556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3543556","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"},{"id":"pmh:oai:pure.atira.dk:publications/5a686d1b-50d8-4ef3-8abe-35a1d096535f","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/5a686d1b-50d8-4ef3-8abe-35a1d096535f","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jing, W, Zhang, W, Di, D, Li, C, Emam, M & Mian, A 2025, 'Hypergraph BiFormer for Semantic Segmentation of High-Resolution Remote Sensing Images', IEEE Transactions on Geoscience and Remote Sensing, vol. 63, 4406915. https://doi.org/10.1109/TGRS.2025.3543556","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7927370153","display_name":null,"funder_award_id":"JQ2023F002","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G951615453","display_name":null,"funder_award_id":"2572023CT16","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2193325189","https://openalex.org/W2787091153","https://openalex.org/W2884822772","https://openalex.org/W2886835193","https://openalex.org/W2886934227","https://openalex.org/W2892880750","https://openalex.org/W2955058313","https://openalex.org/W2963881378","https://openalex.org/W3007268491","https://openalex.org/W3016664505","https://openalex.org/W3024167159","https://openalex.org/W3093142463","https://openalex.org/W3096609285","https://openalex.org/W3104355095","https://openalex.org/W3107399755","https://openalex.org/W3111535274","https://openalex.org/W3113573094","https://openalex.org/W3131500599","https://openalex.org/W3137032663","https://openalex.org/W3138516171","https://openalex.org/W3161825146","https://openalex.org/W3170841864","https://openalex.org/W3172509117","https://openalex.org/W3209499715","https://openalex.org/W3209745495","https://openalex.org/W3210012904","https://openalex.org/W3212386989","https://openalex.org/W4200618560","https://openalex.org/W4205138939","https://openalex.org/W4205322422","https://openalex.org/W4214604401","https://openalex.org/W4214763222","https://openalex.org/W4220744136","https://openalex.org/W4221025279","https://openalex.org/W4225672218","https://openalex.org/W4281676211","https://openalex.org/W4282926996","https://openalex.org/W4285046997","https://openalex.org/W4285248677","https://openalex.org/W4286776138","https://openalex.org/W4288901840","https://openalex.org/W4292998323","https://openalex.org/W4293030607","https://openalex.org/W4308238064","https://openalex.org/W4312446817","https://openalex.org/W4312726009","https://openalex.org/W4312744282","https://openalex.org/W4312815172","https://openalex.org/W4312894406","https://openalex.org/W4313007769","https://openalex.org/W4319839157","https://openalex.org/W4321378687","https://openalex.org/W4321483963","https://openalex.org/W4323338969","https://openalex.org/W4375946439","https://openalex.org/W4381613464","https://openalex.org/W4385245566","https://openalex.org/W4386075524","https://openalex.org/W4386634500","https://openalex.org/W4390912318","https://openalex.org/W4391407079","https://openalex.org/W4400229979","https://openalex.org/W4403193080","https://openalex.org/W6684372118","https://openalex.org/W6717372056","https://openalex.org/W6755207826","https://openalex.org/W6763367864","https://openalex.org/W6788135285","https://openalex.org/W6795463671","https://openalex.org/W6797399245","https://openalex.org/W6810334672","https://openalex.org/W6842430276"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W1522196789","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"While":[0],"transformers":[1],"are":[2,43],"powerful":[3],"neural":[4],"network":[5],"architectures":[6],"for":[7,13],"feature":[8,67],"learning,":[9],"current":[10],"Transformer-based":[11],"approaches":[12],"semantic":[14,28],"segmentation":[15],"of":[16,26,121,126,141,181,194],"high-resolution":[17],"remote":[18],"sensing":[19],"images":[20],"(HRRSIs)":[21],"struggle":[22],"with":[23,102],"the":[24,39,57,73,108,139,150,192],"extraction":[25],"local":[27,77,130],"features.":[29],"To":[30],"address":[31],"this":[32],"issue,":[33],"we":[34,89],"incorporate":[35],"a":[36,91,103,144],"hypergraph":[37,92],"into":[38],"Transformer.":[40],"Hypergraph-based":[41],"methods":[42],"proficient":[44],"at":[45],"discovering":[46],"high-order":[47,119],"correlations":[48,125],"within":[49,132,157],"limited-scale":[50],"data,":[51],"extracting":[52],"pertinent":[53],"representations":[54,120],"to":[55,80,110,138,153],"enhance":[56],"Transformer\u2019s":[58],"learning":[59],"capabilities.":[60],"We":[61,160],"also":[62],"propose":[63],"dual":[64],"pooling":[65],"and":[66,129,146,170,183,188],"aggregation":[68,140],"modules":[69,100],"(FAMs),":[70],"inspired":[71],"by":[72,123],"adaptive":[74],"pooling\u2019s":[75],"potent":[76],"modeling":[78,124],"capabilities,":[79],"additionally":[81],"extract":[82],"fine-grained":[83],"features":[84,114,128,142],"from":[85],"HRRSIs.":[86],"In":[87],"particular,":[88],"conceive":[90],"BiFormer":[93,104],"(HGBT)":[94],"based":[95],"on":[96,167],"these":[97],"three":[98],"proposed":[99],"along":[101],"backbone.":[105],"HGBT":[106,174],"has":[107],"potential":[109],"learn":[111],"general":[112],"latent":[113],"as":[115,117],"well":[116],"generate":[118],"HRRSIs":[122],"multiscale":[127],"topology":[131],"an":[133],"entirely":[134],"nonlinear":[135],"space,":[136],"leading":[137],"in":[143],"compact":[145],"localized":[147],"manner,":[148],"enhancing":[149],"model\u2019s":[151],"ability":[152],"capture":[154],"detailed":[155],"variations":[156],"small":[158],"areas.":[159],"validate":[161],"our":[162],"approach":[163],"through":[164],"extensive":[165],"experiments":[166],"ISPRS":[168],"Vaihingen":[169],"Potsdam":[171],"datasets,":[172],"where":[173],"attains":[175],"mean":[176],"intersection":[177],"over":[178],"union":[179],"(mIoU)":[180],"83.71%":[182],"87.88%,":[184],"respectively.":[185],"Both":[186],"quantitative":[187],"qualitative":[189],"assessments":[190],"underscore":[191],"dominance":[193],"HGBT.":[195],"Our":[196],"code":[197],"will":[198],"be":[199],"accessible":[200],"at:":[201],"<uri":[202],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[203],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ZhangIceNight/HGBFormer</uri>.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}