{"id":"https://openalex.org/W4312314757","doi":"https://doi.org/10.1109/lgrs.2022.3228967","title":"Road Extraction From Satellite Imagery by Road Context and Full-Stage Feature","display_name":"Road Extraction From Satellite Imagery by Road Context and Full-Stage Feature","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4312314757","doi":"https://doi.org/10.1109/lgrs.2022.3228967"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3228967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3228967","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101955163","display_name":"Zhigang Yang","orcid":"https://orcid.org/0000-0003-1049-2283"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Yang","raw_affiliation_strings":["College of Data Science, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-1049-2283","affiliations":[{"raw_affiliation_string":"College of Data Science, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024827058","display_name":"Daoxiang Zhou","orcid":"https://orcid.org/0000-0003-4453-1439"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoxiang Zhou","raw_affiliation_strings":["College of Data Science, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4453-1439","affiliations":[{"raw_affiliation_string":"College of Data Science, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101642720","display_name":"Ying Yang","orcid":"https://orcid.org/0000-0002-5972-5239"},"institutions":[{"id":"https://openalex.org/I4210167045","display_name":"Shanxi Transportation Research Institute","ror":"https://ror.org/05y7veh17","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210167045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yang","raw_affiliation_strings":["Shanxi Transportation Technology Research and Development Company Ltd., Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Transportation Technology Research and Development Company Ltd., Taiyuan, China","institution_ids":["https://openalex.org/I4210167045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662070","display_name":"Jiapeng Zhang","orcid":"https://orcid.org/0000-0003-3764-5921"},"institutions":[{"id":"https://openalex.org/I4210167045","display_name":"Shanxi Transportation Research Institute","ror":"https://ror.org/05y7veh17","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210167045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Zhang","raw_affiliation_strings":["Shanxi Transportation Technology Research and Development Company Ltd., Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Transportation Technology Research and Development Company Ltd., Taiyuan, China","institution_ids":["https://openalex.org/I4210167045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100718751","display_name":"Zehua Chen","orcid":"https://orcid.org/0000-0003-2127-7829"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Chen","raw_affiliation_strings":["College of Data Science, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Data Science, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.8108,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.99264192,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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":1.0,"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":0.994700014591217,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9617000222206116,"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-science","display_name":"Computer science","score":0.8067989349365234},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7006638050079346},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5912362933158875},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.523057758808136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5049503445625305},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.49615272879600525},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45505908131599426},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44172123074531555},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4217895269393921},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4142982065677643},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3075438439846039},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07642081379890442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07604557275772095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067989349365234},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7006638050079346},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5912362933158875},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.523057758808136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049503445625305},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.49615272879600525},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45505908131599426},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44172123074531555},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4217895269393921},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4142982065677643},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3075438439846039},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07642081379890442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07604557275772095},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3228967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3228967","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G122310923","display_name":null,"funder_award_id":"201901D211078","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G612956011","display_name":null,"funder_award_id":"62101376","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/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2616247523","https://openalex.org/W2623331213","https://openalex.org/W2752782242","https://openalex.org/W2804199516","https://openalex.org/W2884585870","https://openalex.org/W2893801697","https://openalex.org/W2964309882","https://openalex.org/W2981689412","https://openalex.org/W3015788359","https://openalex.org/W3034427230","https://openalex.org/W3102564565","https://openalex.org/W3103315784","https://openalex.org/W3121619677","https://openalex.org/W3129042754","https://openalex.org/W3147628841","https://openalex.org/W3150573203","https://openalex.org/W3154634026","https://openalex.org/W3159533239","https://openalex.org/W3165209762","https://openalex.org/W3177052299","https://openalex.org/W3214248441","https://openalex.org/W4200000656","https://openalex.org/W4226445372","https://openalex.org/W4362470605","https://openalex.org/W7020680850"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2055243143","https://openalex.org/W4205302943","https://openalex.org/W2119949815","https://openalex.org/W2561132942","https://openalex.org/W2142795561","https://openalex.org/W3155418658","https://openalex.org/W4243199227"],"abstract_inverted_index":{"Road":[0],"extraction":[1,51],"from":[2,42],"satellite":[3,43],"imagery":[4],"is":[5,17,54],"vital":[6],"in":[7,71],"a":[8,86,109],"broad":[9],"range":[10],"of":[11,95],"applications.":[12],"However,":[13],"extracting":[14,35],"complete":[15],"roads":[16],"challenging":[18],"due":[19],"to":[20,56,77,91],"road":[21,36,63,80,96,122],"occlusions":[22],"caused":[23],"by":[24,60,125],"the":[25,72,93,121],"surroundings.":[26],"This":[27],"letter":[28],"proposed":[29],"an":[30],"improved":[31],"encoder\u2013decoder":[32],"network":[33],"via":[34],"context":[37,50],"and":[38,83,107],"integrating":[39],"full-stage":[40,66],"features":[41],"imagery,":[44],"dubbed":[45],"as":[46,108],"RCFSNet.":[47],"A":[48],"multiscale":[49],"(MSCE)":[52],"module":[53],"designed":[55],"enhance":[57],"inference":[58],"capabilities":[59],"introducing":[61],"adequate":[62],"context.":[64],"Multiple":[65],"feature":[67],"fusion":[68],"(FSFF)":[69],"modules":[70],"skip":[73],"connection":[74],"are":[75,100],"devised":[76],"provide":[78],"accurate":[79],"structure":[81],"information,":[82],"we":[84],"devise":[85],"coordinate":[87],"dual-attention":[88],"mechanism":[89],"(CDAM)":[90],"strengthen":[92],"representation":[94],"features.":[97],"Extensive":[98],"experiments":[99],"carried":[101],"out":[102],"on":[103],"two":[104],"public":[105],"datasets,":[106],"result,":[110],"our":[111,126],"RCFSNet":[112],"outperforms":[113],"other":[114],"state-of-the-art":[115],"methods.":[116],"The":[117,131],"results":[118],"indicate":[119],"that":[120],"labels":[123],"extracted":[124],"method":[127],"have":[128],"preferable":[129],"connectivity.":[130],"source":[132],"code":[133],"will":[134],"be":[135],"available":[136],"athttps://github.com/CVer-Yang/RCFSNet.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}