{"id":"https://openalex.org/W4390660130","doi":"https://doi.org/10.1109/access.2024.3350645","title":"Local-Global Feature Capture and Boundary Information Refinement Swin Transformer Segmentor for Remote Sensing Images","display_name":"Local-Global Feature Capture and Boundary Information Refinement Swin Transformer Segmentor for Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390660130","doi":"https://doi.org/10.1109/access.2024.3350645"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3350645","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3350645","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10382529.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10382529.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009470684","display_name":"Rui Lin","orcid":"https://orcid.org/0009-0002-3452-9757"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Lin","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0002-3452-9757","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044938518","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0001-8398-2481"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587292","display_name":"Xue Y. Zhu","orcid":"https://orcid.org/0009-0001-8425-4379"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhu","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0009-0001-8425-4379","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055383830","display_name":"Xueyun Chen","orcid":"https://orcid.org/0000-0002-7452-0223"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyun Chen","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0002-7452-0223","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":{"value":1995,"currency":"USD","value_usd":1995},"apc_paid":{"value":1995,"currency":"USD","value_usd":1995},"fwci":2.1789,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87652304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"6088","last_page":"6099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.9987999796867371,"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/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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/computer-science","display_name":"Computer science","score":0.6813305616378784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5178844928741455},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.47681257128715515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4539099633693695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4227624833583832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35921138525009155},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3295116126537323},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15047886967658997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08243021368980408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813305616378784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5178844928741455},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.47681257128715515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4539099633693695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4227624833583832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35921138525009155},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3295116126537323},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15047886967658997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08243021368980408},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1109/access.2024.3350645","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3350645","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10382529.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04bdbcadd492410d98749f038d835454","is_oa":true,"landing_page_url":"https://doaj.org/article/04bdbcadd492410d98749f038d835454","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 6088-6099 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3350645","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3350645","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10382529.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4825135832","display_name":"\u57ce\u5e02\u9065\u611f\u56fe\u50cf\u4e2d\u673a\u52a8\u76ee\u6807\u53ca\u5176\u5468\u8fb9\u73af\u5883\u5c5e\u6027\u7684\u89e3\u8026\u68c0\u6d4b\u7814\u7a76","funder_award_id":"62061002","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390660130.pdf","grobid_xml":"https://content.openalex.org/works/W4390660130.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2109255472","https://openalex.org/W2565639579","https://openalex.org/W2630837129","https://openalex.org/W2752782242","https://openalex.org/W2787091153","https://openalex.org/W2884585870","https://openalex.org/W2916798096","https://openalex.org/W2955058313","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2981609437","https://openalex.org/W2990978854","https://openalex.org/W3000086214","https://openalex.org/W3034552520","https://openalex.org/W3035050607","https://openalex.org/W3045513100","https://openalex.org/W3047238784","https://openalex.org/W3095028588","https://openalex.org/W3115967667","https://openalex.org/W3117812033","https://openalex.org/W3131500599","https://openalex.org/W3137572916","https://openalex.org/W3138516171","https://openalex.org/W3146325045","https://openalex.org/W3153120912","https://openalex.org/W3161825146","https://openalex.org/W3162418282","https://openalex.org/W3180515529","https://openalex.org/W3190334976","https://openalex.org/W3196294958","https://openalex.org/W4205138939","https://openalex.org/W4214604401","https://openalex.org/W4283450732","https://openalex.org/W4285234694","https://openalex.org/W4286377389","https://openalex.org/W4312453268","https://openalex.org/W4313555782","https://openalex.org/W4319663760","https://openalex.org/W4367721790","https://openalex.org/W4378901102","https://openalex.org/W4384788063","https://openalex.org/W4385346076","https://openalex.org/W4385453578","https://openalex.org/W4390873076","https://openalex.org/W6696085341","https://openalex.org/W6739696289","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W3147584709","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W1983126463","https://openalex.org/W2085738998","https://openalex.org/W2095126257"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,29,89],"of":[2,91,108,131,144,152,157],"urban":[3,23],"remote":[4,24],"sensing":[5,25],"images":[6],"is":[7,63],"a":[8,51],"highly":[9],"challenging":[10],"task.":[11],"Due":[12],"to":[13,86,113],"the":[14,27,48,66,88,100,105,129,141,150,160,167],"complex":[15],"background,":[16],"occlusion":[17],"overlap,":[18],"and":[19,42,55,76,110,134,164],"small-scale":[20,43],"targets":[21],"in":[22],"images,":[26],"semantic":[28,102],"results":[30,148],"suffer":[31],"from":[32],"deficiencies":[33],"such":[34],"as":[35],"similar":[36,92],"target":[37,40,44],"confusion,":[38],"blurred":[39,115],"boundaries,":[41],"omission.":[45],"To":[46],"solve":[47],"above":[49],"problems,":[50],"local-global":[52,136],"feature":[53,118],"capture":[54],"boundary":[56,101],"information":[57,103,123],"refinement":[58,119],"Swin":[59],"Transformer":[60],"segmentor":[61],"(LGBSwin)":[62],"proposed.":[64],"First,":[65],"dual":[67],"linear":[68,74,78],"attention":[69,75,79],"module":[70],"(DLAM)":[71],"utilizes":[72],"spatial":[73],"channel":[77],"mechanisms":[80],"for":[81],"strengthening":[82],"global":[83],"modeling":[84],"capabilities":[85],"improve":[87],"ability":[90,143],"targets.":[93,146],"Second,":[94],"boundary-aware":[95],"enhancement":[96],"(BAE)":[97],"adaptively":[98],"mines":[99],"through":[104],"effective":[106],"integration":[107],"high-level":[109],"low-level":[111],"features":[112],"alleviate":[114],"boundaries.":[116],"Finally,":[117],"aggregation":[120],"(FRA)":[121],"establishes":[122],"relationships":[124],"between":[125],"different":[126],"layers,":[127],"reduces":[128],"loss":[130],"local":[132],"information,":[133],"enhances":[135],"dependence,":[137],"thus":[138],"significantly":[139],"improving":[140],"recognition":[142],"small":[145],"Experimental":[147],"demonstrate":[149],"effectiveness":[151],"LGBSwin,":[153],"with":[154],"an":[155],"F1":[156],"91.02%":[158],"on":[159,166],"ISPRS":[161,168],"Vaihingen":[162],"dataset":[163],"93.35%":[165],"Potsdam":[169],"dataset.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}