{"id":"https://openalex.org/W4318765775","doi":"https://doi.org/10.1109/tgrs.2023.3241366","title":"DWin-HRFormer: A High-Resolution Transformer Model With Directional Windows for Semantic Segmentation of Urban Construction Land","display_name":"DWin-HRFormer: A High-Resolution Transformer Model With Directional Windows for Semantic Segmentation of Urban Construction Land","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4318765775","doi":"https://doi.org/10.1109/tgrs.2023.3241366"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3241366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3241366","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/A5092050313","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0002-9344-7623"},"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":"Zhen Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9344-7623","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/A5031729932","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-5625-0338"},"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":"Xin Huang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, Wuhan, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5625-0338","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446489","display_name":"Jiayi Li","orcid":"https://orcid.org/0000-0003-1691-9743"},"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":"Jiayi Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","Hubei Luojia Laboratory, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":3.105,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92072709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"61","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":0.9994999766349792,"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":0.9994999766349792,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8211700916290283},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7208108305931091},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.534148633480072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5133794546127319},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4934033453464508},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4656878709793091},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45777130126953125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3387422561645508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3343990445137024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211700916290283},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7208108305931091},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.534148633480072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5133794546127319},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4934033453464508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4656878709793091},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45777130126953125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3387422561645508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3343990445137024},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3241366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3241366","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":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2118518458","display_name":null,"funder_award_id":"42271328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2546344510","display_name":"\u9ad8\u5206\u8fa8\u7387\u591c\u706f\u548c\u5149\u5b66\u5f71\u50cf\u7684\u4eae\u5ea6-\u89d2\u5ea6-\u5c3a\u5ea6\u6df1\u5ea6\u878d\u5408\u4e0e\u57ce\u5e02\u529f\u80fd\u533a\u5206\u7c7b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41971295","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/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320336648","display_name":"National Program for Support of Top-notch Young Professionals","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W960757879","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2132791018","https://openalex.org/W2140428826","https://openalex.org/W2148143831","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2787091153","https://openalex.org/W2788101292","https://openalex.org/W2790741584","https://openalex.org/W2883105896","https://openalex.org/W2888733778","https://openalex.org/W2896457183","https://openalex.org/W2896791666","https://openalex.org/W2962812282","https://openalex.org/W2962933664","https://openalex.org/W2963351113","https://openalex.org/W2963351448","https://openalex.org/W2963845150","https://openalex.org/W2963881378","https://openalex.org/W2963925437","https://openalex.org/W2964050365","https://openalex.org/W2982083293","https://openalex.org/W2982206001","https://openalex.org/W2991441757","https://openalex.org/W2998108143","https://openalex.org/W3003394660","https://openalex.org/W3010317891","https://openalex.org/W3014641072","https://openalex.org/W3015756600","https://openalex.org/W3027542479","https://openalex.org/W3033361357","https://openalex.org/W3034427230","https://openalex.org/W3034858314","https://openalex.org/W3042496707","https://openalex.org/W3045642835","https://openalex.org/W3089345975","https://openalex.org/W3092462694","https://openalex.org/W3092873533","https://openalex.org/W3096609285","https://openalex.org/W3104035745","https://openalex.org/W3105698493","https://openalex.org/W3107030229","https://openalex.org/W3108070979","https://openalex.org/W3108105109","https://openalex.org/W3121523901","https://openalex.org/W3122855191","https://openalex.org/W3127751679","https://openalex.org/W3131500599","https://openalex.org/W3131922516","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3144332889","https://openalex.org/W3145812226","https://openalex.org/W3160284783","https://openalex.org/W3161825146","https://openalex.org/W3166596953","https://openalex.org/W3170841864","https://openalex.org/W3171125843","https://openalex.org/W3171516518","https://openalex.org/W3179323839","https://openalex.org/W3179869055","https://openalex.org/W3197957534","https://openalex.org/W4205138939","https://openalex.org/W4205365435","https://openalex.org/W4214493665","https://openalex.org/W4214893857","https://openalex.org/W4283450732","https://openalex.org/W4288024261","https://openalex.org/W4295838474","https://openalex.org/W4309793872","https://openalex.org/W4313007769","https://openalex.org/W4323654151","https://openalex.org/W4385245566","https://openalex.org/W6625220217","https://openalex.org/W6637373629","https://openalex.org/W6744066916","https://openalex.org/W6750523955","https://openalex.org/W6754940743","https://openalex.org/W6755207826","https://openalex.org/W6761628794","https://openalex.org/W6762718338","https://openalex.org/W6764733053","https://openalex.org/W6770251742","https://openalex.org/W6771626834","https://openalex.org/W6772853553","https://openalex.org/W6774983715","https://openalex.org/W6778883912","https://openalex.org/W6779709467","https://openalex.org/W6779879114","https://openalex.org/W6783399553","https://openalex.org/W6783944145","https://openalex.org/W6784094891","https://openalex.org/W6788135285","https://openalex.org/W6792695861","https://openalex.org/W6795435739","https://openalex.org/W6795755827","https://openalex.org/W6803650990"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4315434538","https://openalex.org/W4380075502"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"a":[3,25,31,83,104],"deep":[4],"neural":[5],"network":[6,23,27,169],"for":[7,17],"semantic":[8,134],"segmentation":[9,135],"of":[10,37,52,80,112,164,167],"high-resolution":[11,26],"remote":[12],"sensing":[13],"images":[14],"is":[15,40,90],"proposed":[16,124,153],"urban":[18],"construction":[19],"land":[20,140],"classification.":[21],"The":[22,173],"follows":[24],"(HRNet)":[28],"architecture.":[29],"Specifically,":[30],"directional":[32,46],"self-attention":[33],"on":[34,137],"the":[35,45,50,56,62,67,72,75,78,81,99,110,117,123,130,138,145,152,156,162,168],"paths":[36],"different":[38],"resolutions":[39],"proposed,":[41],"aiming":[42],"to":[43,69,92,97,116],"correct":[44],"bias":[47],"caused":[48],"by":[49],"attention":[51],"strip":[53],"windows":[54],"during":[55],"model":[57,68,176],"learning,":[58],"while":[59],"also":[60,160],"reducing":[61],"computational":[63],"complexity,":[64],"and":[65,74,108,126,144,151,175],"allowing":[66],"improve":[70],"both":[71],"accuracy":[73,113],"speed.":[76],"At":[77],"end":[79],"network,":[82],"distributed":[84],"alignment":[85],"module":[86],"with":[87,129],"spatial":[88],"information":[89],"constructed":[91],"train":[93],"additional":[94],"learnable":[95],"parameters,":[96],"adjust":[98],"biased":[100],"decision":[101],"boundaries":[102],"through":[103,170],"two-stage":[105],"learning":[106],"strategy,":[107],"alleviate":[109],"problem":[111],"degradation":[114],"due":[115],"unbalanced":[118],"training":[119],"data.":[120],"We":[121,159],"tested":[122],"method":[125],"compared":[127],"it":[128],"current":[131],"state-of-the-art":[132],"(SOTA)":[133],"methods":[136],"Luojia-fine-grained":[139],"cover":[141],"(FGLC)":[142],"dataset":[143],"Wuhan":[146],"Dense":[147],"Labeling":[148],"Dataset":[149],"(WHDLD),":[150],"one":[154],"obtained":[155],"best":[157],"performance.":[158],"verified":[161],"effectiveness":[163],"each":[165],"component":[166],"ablation":[171],"experiments.":[172],"code":[174],"will":[177],"be":[178],"available":[179],"athttps://github.com/Zhzhyd/DWin-HRFormer.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}