{"id":"https://openalex.org/W4408970908","doi":"https://doi.org/10.1109/jstars.2025.3555636","title":"DeepU-Net: A Parallel Dual-Branch Model for Deeply Fusing Multiscale Features for Road Extraction From High-Resolution Remote Sensing Images","display_name":"DeepU-Net: A Parallel Dual-Branch Model for Deeply Fusing Multiscale Features for Road Extraction From High-Resolution Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408970908","doi":"https://doi.org/10.1109/jstars.2025.3555636"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3555636","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3555636","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3555636","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075826136","display_name":"Guoqing Zhou","orcid":"https://orcid.org/0000-0001-8295-0496"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoqing Zhou","raw_affiliation_strings":["Guangxi Key Laboratory of Spatial Information and Geomatics, the College of Earth Sciences, the College of Geomatics and Geoinformation and the College of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0001-8295-0496","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Spatial Information and Geomatics, the College of Earth Sciences, the College of Geomatics and Geoinformation and the College of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haiyang Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhi","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023600709","display_name":"Ertao Gao","orcid":"https://orcid.org/0009-0001-1683-3643"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ertao Gao","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0009-0001-1683-3643","affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031550027","display_name":"Yanling Lu","orcid":"https://orcid.org/0009-0007-7688-4868"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanling Lu","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038622036","display_name":"Jianjun Chen","orcid":"https://orcid.org/0000-0002-6439-5123"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Chen","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101397655","display_name":"Yuhang Bai","orcid":"https://orcid.org/0009-0007-0689-7487"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Bai","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045845840","display_name":"Xiao Zhou","orcid":"https://orcid.org/0000-0001-9397-6376"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhou","raw_affiliation_strings":["College of Urban and Environmental Sciences, Central China Normal University, Wuhan, China","College of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Urban and Environmental Sciences, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075826136"],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":30.4059,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.99872452,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":null,"first_page":"9448","last_page":"9463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9995999932289124,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9580000042915344,"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/computer-science","display_name":"Computer science","score":0.6923123598098755},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6785913705825806},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6156176328659058},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5586169362068176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5468671917915344},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5087371468544006},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48243269324302673},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4583337903022766},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45310941338539124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.440710186958313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3867989778518677},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11267611384391785},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08979257941246033},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08563244342803955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923123598098755},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6785913705825806},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6156176328659058},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5586169362068176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5468671917915344},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5087371468544006},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48243269324302673},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4583337903022766},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45310941338539124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.440710186958313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3867989778518677},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11267611384391785},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08979257941246033},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08563244342803955},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3555636","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3555636","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:860f0824ee37409c91b7c49895f62ce1","is_oa":true,"landing_page_url":"https://doaj.org/article/860f0824ee37409c91b7c49895f62ce1","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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 9448-9463 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3555636","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3555636","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G560702989","display_name":null,"funder_award_id":"42461050","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":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1982837869","https://openalex.org/W2052060966","https://openalex.org/W2109255472","https://openalex.org/W2302255633","https://openalex.org/W2335639764","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2793445582","https://openalex.org/W2793820729","https://openalex.org/W2804199516","https://openalex.org/W2884436604","https://openalex.org/W2943295486","https://openalex.org/W2986785750","https://openalex.org/W2995090317","https://openalex.org/W2996322457","https://openalex.org/W3002477299","https://openalex.org/W3008156909","https://openalex.org/W3011933327","https://openalex.org/W3014641072","https://openalex.org/W3026298314","https://openalex.org/W3047725879","https://openalex.org/W3085008781","https://openalex.org/W3086017879","https://openalex.org/W3090775239","https://openalex.org/W3132505321","https://openalex.org/W3146366485","https://openalex.org/W3150573203","https://openalex.org/W3196385186","https://openalex.org/W3203699578","https://openalex.org/W3204311811","https://openalex.org/W3212386989","https://openalex.org/W4200512530","https://openalex.org/W4206487645","https://openalex.org/W4220738217","https://openalex.org/W4226228401","https://openalex.org/W4282967568","https://openalex.org/W4286491042","https://openalex.org/W4289752563","https://openalex.org/W4313009917","https://openalex.org/W4313201808","https://openalex.org/W4313518774","https://openalex.org/W4317603812","https://openalex.org/W4372347372","https://openalex.org/W4382138813","https://openalex.org/W4384161871","https://openalex.org/W4390022564","https://openalex.org/W4396531078","https://openalex.org/W4396909873","https://openalex.org/W4400350742","https://openalex.org/W4401476753","https://openalex.org/W4401725766","https://openalex.org/W6640295612","https://openalex.org/W6684945483","https://openalex.org/W6739696289","https://openalex.org/W6743731764","https://openalex.org/W6746023985","https://openalex.org/W6748481559","https://openalex.org/W6791472037","https://openalex.org/W6797399245","https://openalex.org/W6842806116"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W3103111272"],"abstract_inverted_index":{"The":[0,93,134,173],"existing":[1],"encoder\u2013decoder":[2,5],"model,":[3],"or":[4],"model":[6,98,141,179],"with":[7,118,167],"atrous":[8],"convolutions,":[9],"has":[10],"exposed":[11],"its":[12],"limitations":[13],"under":[14],"diverse":[15],"environments,":[16],"such":[17],"as":[18],"road":[19,91],"scales,":[20],"shadows,":[21],"building":[22],"occlusions,":[23],"and":[24,45,58,71,75,105,111,130,150,158],"vegetation":[25],"in":[26,48],"high-resolution":[27],"remote":[28],"sensing":[29],"images.":[30],"Therefore,":[31],"this":[32],"article":[33],"introduces":[34],"a":[35,181],"dual-branch":[36],"deep":[37],"fusion":[38,61],"network,":[39],"named":[40],"\u201cDeepU-Net,\u201d":[41],"for":[42,161],"obtaining":[43],"global":[44],"local":[46],"information":[47],"parallel.":[49],"Two":[50],"novel":[51],"modules":[52],"are":[53,108,153],"designed:":[54],"1)":[55],"the":[56,66,77,86,96,119,139,162,168,177,185],"spatial":[57,69],"coordinate":[59],"squeeze-and-excitation":[60],"attention":[62,81],"module":[63,82],"that":[64,83,138,176],"enhances":[65],"focus":[67],"on":[68],"positions":[70],"target":[72],"channel":[73],"information;":[74],"2)":[76],"efficient":[78],"multiscale":[79,90],"convolutional":[80],"can":[84],"boost":[85],"competence":[87],"to":[88],"tackle":[89],"information.":[92],"validation":[94],"of":[95,148],"proposed":[97],"is":[99,132],"conducted":[100],"using":[101],"two":[102,163],"datasets,":[103,164],"CHN6-CUG":[104],"DeepGlobe,":[106],"which":[107,152],"from":[109],"urban":[110],"rural":[112],"areas,":[113],"respectively.":[114],"A":[115],"comparative":[116],"analysis":[117],"six":[120,169,186],"commonly":[121,170],"used":[122,171],"models,":[123],"including":[124],"U-Net,":[125],"PSPNet,":[126],"DeepLabv3+,":[127],"HRNet,":[128],"CoANet,":[129],"SegFormer,":[131],"conducted.":[133],"experimental":[135],"results":[136],"reveal":[137],"introduced":[140,178],"achieves":[142,180],"mean":[143],"intersection":[144],"over":[145],"union":[146],"scores":[147],"83.18%":[149],"81.43%,":[151],"averagely":[154],"improved":[155],"by":[156],"1.93%":[157],"1.02%,":[159],"respectively,":[160],"when":[165],"compared":[166],"models.":[172],"outcomes":[174],"suggest":[175],"greater":[182],"accuracy":[183],"than":[184],"extensively":[187],"applied":[188],"models":[189],"do.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":28}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}