{"id":"https://openalex.org/W3143901569","doi":"https://doi.org/10.3390/rs13081417","title":"A Model-Driven-to-Sample-Driven Method for Rural Road Extraction","display_name":"A Model-Driven-to-Sample-Driven Method for Rural Road Extraction","publication_year":2021,"publication_date":"2021-04-07","ids":{"openalex":"https://openalex.org/W3143901569","doi":"https://doi.org/10.3390/rs13081417","mag":"3143901569"},"language":"en","primary_location":{"id":"doi:10.3390/rs13081417","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081417","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1417/pdf?version=1618903710","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/8/1417/pdf?version=1618903710","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075721700","display_name":"Jiguang Dai","orcid":"https://orcid.org/0000-0003-1539-0673"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguang Dai","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","School of Geomatics, Liaoning Technical University, Fuxin 12300, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034292946","display_name":"Rongchen Ma","orcid":"https://orcid.org/0000-0002-3591-6807"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongchen Ma","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","School of Geomatics, Liaoning Technical University, Fuxin 12300, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005553818","display_name":"Litao Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Litao Gong","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","School of Geomatics, Liaoning Technical University, Fuxin 12300, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021356337","display_name":"Zimo Shen","orcid":"https://orcid.org/0000-0002-0662-7854"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimo Shen","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","School of Geomatics, Liaoning Technical University, Fuxin 12300, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062422693","display_name":"Jialin Wu","orcid":"https://orcid.org/0000-0002-2843-405X"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Wu","raw_affiliation_strings":["Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","School of Geomatics, Liaoning Technical University, Fuxin 12300, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spatiotemporal Transportation Data, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 12300, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034292946"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.2559,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86582771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":"8","first_page":"1417","last_page":"1417"},"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":0.9977999925613403,"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":0.9397000074386597,"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":0.7183665633201599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5104100108146667},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5039655566215515},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4475451707839966},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.43707603216171265},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4194154739379883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36351341009140015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3362503945827484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11254829168319702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7183665633201599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5104100108146667},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5039655566215515},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4475451707839966},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.43707603216171265},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4194154739379883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36351341009140015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3362503945827484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11254829168319702},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13081417","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081417","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1417/pdf?version=1618903710","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f292bc91ed94beb853162d033b0cd3b","is_oa":true,"landing_page_url":"https://doaj.org/article/3f292bc91ed94beb853162d033b0cd3b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 8, p 1417 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/8/1417/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13081417","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 8; Pages: 1417","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13081417","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081417","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1417/pdf?version=1618903710","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2319710449","display_name":null,"funder_award_id":"42071374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3373275838","display_name":null,"funder_award_id":"42071428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3516857877","display_name":null,"funder_award_id":"207137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7836423780","display_name":null,"funder_award_id":"Liaoning","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8501556841","display_name":null,"funder_award_id":"420713743","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3143901569.pdf","grobid_xml":"https://content.openalex.org/works/W3143901569.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W639708223","https://openalex.org/W1969585803","https://openalex.org/W1978653883","https://openalex.org/W1982574519","https://openalex.org/W1999031252","https://openalex.org/W2020436006","https://openalex.org/W2021278996","https://openalex.org/W2026365338","https://openalex.org/W2053848236","https://openalex.org/W2061413575","https://openalex.org/W2103079830","https://openalex.org/W2119082135","https://openalex.org/W2119879130","https://openalex.org/W2138317821","https://openalex.org/W2160072137","https://openalex.org/W2244429148","https://openalex.org/W2342699585","https://openalex.org/W2349921487","https://openalex.org/W2395611524","https://openalex.org/W2395811491","https://openalex.org/W2484161688","https://openalex.org/W2526386825","https://openalex.org/W2566121015","https://openalex.org/W2594203750","https://openalex.org/W2620899671","https://openalex.org/W2774320778","https://openalex.org/W2789919692","https://openalex.org/W2793134811","https://openalex.org/W2890554434","https://openalex.org/W2907583485","https://openalex.org/W2921476973","https://openalex.org/W2943153115","https://openalex.org/W2943295486","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2986885871","https://openalex.org/W2994345572","https://openalex.org/W2995914831","https://openalex.org/W2996868574","https://openalex.org/W3002477299","https://openalex.org/W3037584636","https://openalex.org/W3081791696","https://openalex.org/W3083219173","https://openalex.org/W3119784490","https://openalex.org/W3124992511","https://openalex.org/W3125782078","https://openalex.org/W3129376454","https://openalex.org/W3135825876","https://openalex.org/W3178019525","https://openalex.org/W3184414194","https://openalex.org/W4301802631","https://openalex.org/W4383117929","https://openalex.org/W6711850960","https://openalex.org/W6854581313"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W2071206959","https://openalex.org/W1980417906","https://openalex.org/W2123241129","https://openalex.org/W1892675750","https://openalex.org/W2299204920"],"abstract_inverted_index":{"Road":[0],"extraction":[1,30,70,83,116,168,185],"in":[2,12,28,135],"rural":[3,44,119,188],"areas":[4,120],"is":[5,88,133,170,190],"one":[6],"of":[7,16,78,81,101,109,126,144,148,157,161,180,186,254,266,281],"the":[8,13,76,79,86,99,102,107,142,145,155,164,184,200,213,220,226,238,243,259,261,267,279],"most":[9],"fundamental":[10],"tasks":[11],"practical":[14],"application":[15],"remote":[17],"sensing.":[18],"In":[19,196],"recent":[20],"years,":[21],"sample-driven":[22,33],"methods":[23,34,132],"have":[24],"achieved":[25],"state-of-the-art":[26],"performance":[27],"road":[29,69,82,115,165,202,222,244],"tasks.":[31],"However,":[32],"are":[35],"prohibitively":[36],"expensive":[37],"and":[38,52,66,98,111,150,153,175,183,205,224,228,256,263],"laborious,":[39],"especially":[40],"when":[41],"dealing":[42],"with":[43,46,121,276],"roads":[45,110,152,189],"irregular":[47],"curvature":[48],"changes,":[49],"narrow":[50,149],"widths,":[51],"diverse":[53],"materials.":[54],"The":[55],"template":[56,130],"matching":[57,131,235,239],"method":[58,73,117],"can":[59,93,105],"overcome":[60],"these":[61],"difficulties":[62],"to":[63,218,241],"some":[64,187],"extent":[65],"achieve":[67],"impressive":[68],"results.":[71],"This":[72],"also":[74],"has":[75,284],"advantage":[77],"vectorization":[80],"results,":[84],"but":[85],"automation":[87,127,280],"limited.":[89],"Straight":[90],"line":[91,181,215],"sequences":[92],"be":[94],"substituted":[95],"for":[96,118,251],"curves,":[97],"use":[100,212,225],"color":[103],"space":[104,233],"increase":[106],"recognition":[108],"nonroads.":[112],"A":[113],"model-driven-to-sample-driven":[114],"a":[122],"much":[123],"higher":[124],"degree":[125],"than":[128,272,288],"existing":[129],"proposed":[134],"this":[136,282],"study.":[137],"Without":[138],"prior":[139],"samples,":[140,211],"on":[141,258],"basis":[143],"geometric":[146],"characteristics":[147],"long":[151],"using":[154],"advantages":[156],"straight":[158],"lines":[159],"instead":[160],"curved":[162],"lines,":[163],"center":[166,203],"point":[167,204],"model":[169,236],"established":[171],"through":[172,192],"length":[173],"constraints":[174,179],"gray":[176],"mean":[177],"contrast":[178],"sequences,":[182],"completed":[191],"topological":[193],"connection":[194],"analysis.":[195],"addition,":[197],"we":[198],"take":[199],"extracted":[201],"manual":[206],"input":[207],"data":[208,255],"as":[209,237],"local":[210,221],"improved":[214],"segment":[216],"histogram":[217],"determine":[219],"direction,":[223],"panchromatic":[227],"hue,":[229],"saturation,":[230],"value":[231],"(HSV)":[232],"interactive":[234],"measure":[240],"complete":[242],"tracking":[245],"extraction.":[246],"Experimental":[247],"results":[248],"show":[249],"that,":[250],"different":[252],"types":[253],"scenarios":[257],"premise,":[260],"accuracy":[262],"recall":[264],"rate":[265],"evaluation":[268],"indicators":[269],"reach":[270],"more":[271,287],"98%,":[273],"and,":[274],"compared":[275],"other":[277],"methods,":[278],"algorithm":[283],"increased":[285],"by":[286],"40%.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2021-04-13T00:00:00"}
