{"id":"https://openalex.org/W4413462722","doi":"https://doi.org/10.1109/tgrs.2025.3598813","title":"Local\u2013Global Sparse Transformer for Road Extraction From Remote Sensing Imagery","display_name":"Local\u2013Global Sparse Transformer for Road Extraction From Remote Sensing Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413462722","doi":"https://doi.org/10.1109/tgrs.2025.3598813"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3598813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3598813","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/A5100407792","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0001-5775-0847"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Wang","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117154087","display_name":"Luyao Wang","orcid":"https://orcid.org/0000-0002-5274-7857"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Wang","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949151","display_name":"Wenxin Huang","orcid":"https://orcid.org/0000-0001-8683-7327"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Huang","raw_affiliation_strings":["Hubei Key Laboratory of Big Data Intelligent Analysis and Application, School of Computer Science and Information, Hubei University, Wuhan, China","School of Computer Science and Information, Hubei Key Laboratory of Big Data Intelligent Analysis and Application, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Big Data Intelligent Analysis and Application, School of Computer Science and Information, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"School of Computer Science and Information, Hubei Key Laboratory of Big Data Intelligent Analysis and Application, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024487112","display_name":"Yibo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Liu","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600227","display_name":"Sheng Zhang","orcid":"https://orcid.org/0000-0002-5287-4063"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064738683","display_name":"Xian Zhong","orcid":"https://orcid.org/0000-0002-5242-0467"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zhong","raw_affiliation_strings":["Hubei Key Laboratory of Transportation Internet of Things and the School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Transportation Internet of Things and the School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100407792"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.1405,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80440729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"10"},"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":0.996399998664856,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9886000156402588,"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/remote-sensing","display_name":"Remote sensing","score":0.6702441573143005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5338553190231323},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4199680685997009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3541411757469177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.342983603477478},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3042758107185364}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6702441573143005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5338553190231323},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4199680685997009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3541411757469177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.342983603477478},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3042758107185364}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3598813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3598813","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":[{"id":"https://metadata.un.org/sdg/11","score":0.49000000953674316,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1629549548","display_name":null,"funder_award_id":"62271361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2570225071","display_name":null,"funder_award_id":"62102423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6092683231","display_name":null,"funder_award_id":"62301213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6612546717","display_name":null,"funder_award_id":"42301493","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W1969585803","https://openalex.org/W1975116313","https://openalex.org/W2155226776","https://openalex.org/W2205800717","https://openalex.org/W2395611524","https://openalex.org/W2547880720","https://openalex.org/W2594203750","https://openalex.org/W2595964094","https://openalex.org/W2620899671","https://openalex.org/W2638069280","https://openalex.org/W2774320778","https://openalex.org/W2798925380","https://openalex.org/W2804199516","https://openalex.org/W2893801697","https://openalex.org/W2955058313","https://openalex.org/W2963881378","https://openalex.org/W2964227007","https://openalex.org/W2971719842","https://openalex.org/W3015788359","https://openalex.org/W3021297918","https://openalex.org/W3083219173","https://openalex.org/W3086017879","https://openalex.org/W3121523901","https://openalex.org/W3121619677","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3147628841","https://openalex.org/W3150573203","https://openalex.org/W3162672913","https://openalex.org/W3168491317","https://openalex.org/W3170841864","https://openalex.org/W3203828160","https://openalex.org/W3207576805","https://openalex.org/W3211329537","https://openalex.org/W3214248441","https://openalex.org/W4205138939","https://openalex.org/W4214893857","https://openalex.org/W4289752563","https://openalex.org/W4312264252","https://openalex.org/W4312314757","https://openalex.org/W4312530435","https://openalex.org/W4317603812","https://openalex.org/W4320919181","https://openalex.org/W4388551947","https://openalex.org/W4388742700","https://openalex.org/W4389519526","https://openalex.org/W4391131229","https://openalex.org/W4392940570","https://openalex.org/W4404057532","https://openalex.org/W4404238677","https://openalex.org/W4405632860"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"road":[1,14,32],"extraction":[2,33],"from":[3,46],"high-resolution":[4],"remote":[5],"sensing":[6],"imagery":[7],"is":[8],"crucial":[9],"for":[10],"applications":[11],"such":[12],"as":[13],"network":[15,55],"generation,":[16],"urban":[17],"planning,":[18],"autonomous":[19],"driving,":[20],"and":[21,40,67,109,119],"military":[22],"operations.":[23],"Although":[24],"deep":[25],"learning":[26],"has":[27],"significantly":[28],"advanced":[29],"segmentation":[30],"performance,":[31],"remains":[34],"challenging":[35],"because":[36],"roads":[37],"exhibit":[38],"geometric":[39],"structural":[41],"characteristics":[42],"that":[43,57,125],"differ":[44],"markedly":[45],"general":[47],"objects.":[48],"We":[49],"propose":[50],"a":[51,71,81,110],"local\u2013global":[52],"sparse":[53,59,106],"transformer":[54],"(LGST-Net)":[56],"leverages":[58],"attention":[60,107],"(SA)":[61],"to":[62],"capture":[63],"both":[64],"local":[65,100],"details":[66],"global":[68,104],"context.":[69],"First,":[70],"coarse-to-fine":[72],"feature-enhanced":[73],"preprocessing":[74],"(C2F-FEP)":[75],"module":[76],"extracts":[77],"low-level":[78],"features":[79],"at":[80,136],"fine-grained":[82],"scale":[83],"during":[84],"the":[85,92],"model\u2019s":[86],"initial":[87],"stage.":[88],"Next,":[89],"we":[90],"design":[91],"LGST":[93],"backbone,":[94],"which":[95],"comprises":[96],"three":[97],"novel":[98],"components:":[99],"shift-mask":[101],"SA":[102],"(LSM-SA),":[103],"compressed":[105],"(GC-SA),":[108],"spatial-channel":[111],"gate.":[112],"Extensive":[113],"experiments":[114],"on":[115],"<sc":[116,120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[117,121,138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DeepGlobe</small>":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">RoadTracer</small>":[122],"datasets":[123],"demonstrate":[124],"LGST-Net":[126],"outperforms":[127],"state-of-the-art":[128],"methods.":[129],"Our":[130],"code":[131],"will":[132],"be":[133],"publicly":[134],"available":[135],"<uri":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/JaymeWX/Road_LGST-Net</uri>":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}