{"id":"https://openalex.org/W4376607747","doi":"https://doi.org/10.1109/tgrs.2023.3276172","title":"Crisscross-Global Vision Transformers Model for Very High Resolution Aerial Image Semantic Segmentation","display_name":"Crisscross-Global Vision Transformers Model for Very High Resolution Aerial Image Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4376607747","doi":"https://doi.org/10.1109/tgrs.2023.3276172"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3276172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3276172","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/A5090253634","display_name":"Guohui Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guohui Deng","raw_affiliation_strings":["School of Internet, Anhui University, Anhui, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Internet, Anhui University, Anhui, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062236070","display_name":"Zhaocong Wu","orcid":"https://orcid.org/0000-0003-2435-5538"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocong Wu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081276073","display_name":"Miaozhong Xu","orcid":"https://orcid.org/0000-0002-8434-8009"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaozhong Xu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688643","display_name":"Chengjun Wang","orcid":"https://orcid.org/0000-0001-8546-9120"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjun Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047059705","display_name":"Zhiye Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiye Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090472088","display_name":"Zhongyuan Lu","orcid":"https://orcid.org/0009-0007-1695-6305"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Lu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5090253634"],"corresponding_institution_ids":["https://openalex.org/I143868143","https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.4692,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84143824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973999857902527,"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/computer-vision","display_name":"Computer vision","score":0.6319270730018616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309781074523926},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.6249086856842041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5952577590942383},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.554844081401825},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5437137484550476},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.510698139667511},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4519564211368561},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3101005554199219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27709057927131653}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6319270730018616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309781074523926},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6249086856842041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5952577590942383},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.554844081401825},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5437137484550476},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.510698139667511},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4519564211368561},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3101005554199219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27709057927131653}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3276172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3276172","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/G5040834468","display_name":null,"funder_award_id":"2018YFB0504801","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G790319178","display_name":null,"funder_award_id":"2018YFB0504800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W1899185266","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2128439521","https://openalex.org/W2170214830","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2412782625","https://openalex.org/W2494341560","https://openalex.org/W2513504913","https://openalex.org/W2609077090","https://openalex.org/W2630837129","https://openalex.org/W2735039185","https://openalex.org/W2778539913","https://openalex.org/W2793268137","https://openalex.org/W2793461576","https://openalex.org/W2799213142","https://openalex.org/W2802076210","https://openalex.org/W2884436604","https://openalex.org/W2884822772","https://openalex.org/W2890859091","https://openalex.org/W2899771611","https://openalex.org/W2908510526","https://openalex.org/W2908753233","https://openalex.org/W2910628332","https://openalex.org/W2963091558","https://openalex.org/W2963294354","https://openalex.org/W2963925437","https://openalex.org/W2964309882","https://openalex.org/W2965383240","https://openalex.org/W2972009374","https://openalex.org/W2981689412","https://openalex.org/W2995426144","https://openalex.org/W2995766874","https://openalex.org/W2997225633","https://openalex.org/W3014641072","https://openalex.org/W3034427230","https://openalex.org/W3096609285","https://openalex.org/W3103092912","https://openalex.org/W3105127913","https://openalex.org/W3105636206","https://openalex.org/W3111390112","https://openalex.org/W3117453769","https://openalex.org/W3120800376","https://openalex.org/W3128055887","https://openalex.org/W3131500599","https://openalex.org/W3137032663","https://openalex.org/W3137572916","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3157528469","https://openalex.org/W3157655355","https://openalex.org/W3161825146","https://openalex.org/W3165745140","https://openalex.org/W3170841864","https://openalex.org/W3170874841","https://openalex.org/W3171516518","https://openalex.org/W3179869055","https://openalex.org/W3184761517","https://openalex.org/W3194110709","https://openalex.org/W3200870516","https://openalex.org/W3202370946","https://openalex.org/W3202923600","https://openalex.org/W3206476077","https://openalex.org/W4250482878","https://openalex.org/W4297779827","https://openalex.org/W4313007769","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6639927594","https://openalex.org/W6679020547","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6751595859","https://openalex.org/W6751733626","https://openalex.org/W6753182481","https://openalex.org/W6756040250","https://openalex.org/W6757817989","https://openalex.org/W6778485988","https://openalex.org/W6788135285","https://openalex.org/W6790739679","https://openalex.org/W6792695861","https://openalex.org/W6794345597","https://openalex.org/W6797360341","https://openalex.org/W6799107526","https://openalex.org/W6799579066","https://openalex.org/W6800102215","https://openalex.org/W6801892685"],"related_works":["https://openalex.org/W1989735375","https://openalex.org/W2034727732","https://openalex.org/W2127305659","https://openalex.org/W2050609384","https://openalex.org/W2054964223","https://openalex.org/W1992574978","https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1522196789","https://openalex.org/W2076075893"],"abstract_inverted_index":{"Semantic":[0,214],"segmentation":[1,28],"is":[2,65,239],"a":[3,97],"key":[4],"means":[5],"for":[6],"understanding":[7],"very-high":[8],"resolution":[9],"(VHR)":[10],"aerial":[11,172],"imagery.":[12],"With":[13],"the":[14,27,38,44,53,67,73,76,81,110,121,129,133,159,162,178,184,188,194,202,219],"explosive":[15],"development":[16],"of":[17,29,57,70,75,142,161,183,193,198,223],"deep":[18,20,100],"learning,":[19],"learning":[21,101],"methods":[22,61],"are":[23,62],"being":[24],"applied":[25],"to":[26,43,83,114,119,170],"VHR":[30,50,171],"images,":[31],"with":[32],"convolutional":[33],"neural":[34],"networks":[35],"(CNNs)":[36],"as":[37],"basic":[39],"framework.":[40],"However,":[41],"owing":[42],"highly":[45],"complex":[46],"details":[47],"present":[48],"in":[49,92,132,243],"images":[51],"and":[52,135,150,175,212,221,235,238],"high":[54],"spatial":[55],"dependence":[56],"geographical":[58],"objects,":[59],"CNN-based":[60],"inadequate.":[63],"This":[64],"because":[66],"inherent":[68,112],"locality":[69],"CNNs":[71],"limits":[72],"size":[74],"receptive":[77,123],"field,":[78],"thus":[79],"limiting":[80],"ability":[82,113,182,192],"obtain":[84,115],"long-range":[85,116],"context":[86,117],"information.":[87],"To":[88],"solve":[89,120],"this":[90,93],"problem,":[91],"paper,":[94],"we":[95,127],"propose":[96],"transformer-based":[98],"novel":[99],"model":[102],"called":[103],"crisscross-global":[104,138],"vision":[105],"transformers":[106],"(CGVT).":[107],"CGVT":[108],"exploits":[109],"transformer\u2019s":[111],"information":[118],"restricted":[122],"field":[124],"problem.":[125],"Specifically,":[126,227],"redesign":[128],"self-attention":[130,164],"mechanism":[131],"transformer":[134,146,153],"call":[136],"it":[137,169,228],"attention.":[139],"It":[140],"consists":[141],"two":[143],"parts:":[144],"crisscross":[145],"encoder":[147,154],"block":[148,155],"(CC-TEB)":[149],"global":[151,189],"squeeze":[152],"(GS-TEB).":[156],"CC-TEB":[157],"overcomes":[158],"limitation":[160],"traditional":[163],"design":[165],"(specifically,":[166],"difficulty":[167],"applying":[168],"image":[173],"segmentation)":[174],"further":[176],"increases":[177,187],"local":[179],"feature":[180,190],"representation":[181,191],"model.":[185,195],"GS-TEB":[186],"The":[196],"results":[197],"experiments":[199],"conducted":[200],"on":[201,232],"popular":[203],"ISPRS":[204],"Vaihingen,":[205],"IEEE":[206],"GRSS":[207],"Data":[208],"Fusion":[209],"Contest":[210],"Zeebrugge,":[211],"LoveDA":[213,236],"Segmentation":[215],"Challenge":[216],"datasets":[217],"verify":[218],"effectiveness":[220],"superiority":[222],"our":[224],"proposed":[225],"method.":[226],"achieved":[229],"state-of-the-art":[230],"performance":[231],"both":[233],"Zeebrugge":[234],"datasets,":[237],"currently":[240],"ranked":[241],"second":[242],"Vaihingen":[244],"dataset.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}