{"id":"https://openalex.org/W2907583485","doi":"https://doi.org/10.3390/rs11010079","title":"Road Information Extraction from High-Resolution Remote Sensing Images Based on Road Reconstruction","display_name":"Road Information Extraction from High-Resolution Remote Sensing Images Based on Road Reconstruction","publication_year":2019,"publication_date":"2019-01-04","ids":{"openalex":"https://openalex.org/W2907583485","doi":"https://doi.org/10.3390/rs11010079","mag":"2907583485"},"language":"en","primary_location":{"id":"doi:10.3390/rs11010079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010079","pdf_url":"https://www.mdpi.com/2072-4292/11/1/79/pdf?version=1546591238","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/2072-4292/11/1/79/pdf?version=1546591238","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063954993","display_name":"Tingting Zhou","orcid":"https://orcid.org/0000-0003-0583-8956"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhou","raw_affiliation_strings":["Coherent Light and Atomic and Molecular Spectroscopy Laboratory, College of Physics, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Coherent Light and Atomic and Molecular Spectroscopy Laboratory, College of Physics, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085796363","display_name":"Chenglin Sun","orcid":"https://orcid.org/0000-0003-3570-1918"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Sun","raw_affiliation_strings":["Coherent Light and Atomic and Molecular Spectroscopy Laboratory, College of Physics, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Coherent Light and Atomic and Molecular Spectroscopy Laboratory, College of Physics, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101533598","display_name":"Haoyang Fu","orcid":"https://orcid.org/0000-0003-2280-5822"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyang Fu","raw_affiliation_strings":["Coherent Light and Atomic and Molecular Spectroscopy Laboratory, College of Physics, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Coherent Light and Atomic and Molecular Spectroscopy Laboratory, College of Physics, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101533598"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.9209,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94934203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"1","first_page":"79","last_page":"79"},"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":0.9980000257492065,"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":0.9818999767303467,"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":0.7029099464416504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6903148889541626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6117503643035889},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6028048396110535},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.540344774723053},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4875447452068329},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4705881178379059},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4518336057662964},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.44965246319770813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4364238381385803},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42697083950042725},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.4260016083717346},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3494488596916199},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3256019949913025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17142215371131897},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09190976619720459},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08855196833610535},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07265430688858032},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06921353936195374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029099464416504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6903148889541626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6117503643035889},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6028048396110535},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.540344774723053},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4875447452068329},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4705881178379059},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4518336057662964},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.44965246319770813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4364238381385803},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42697083950042725},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.4260016083717346},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3494488596916199},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3256019949913025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17142215371131897},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09190976619720459},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08855196833610535},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07265430688858032},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06921353936195374},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs11010079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010079","pdf_url":"https://www.mdpi.com/2072-4292/11/1/79/pdf?version=1546591238","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:mdpi.com:/2072-4292/11/1/79/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11010079","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 11; Issue 1; Pages: 79","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11010079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010079","pdf_url":"https://www.mdpi.com/2072-4292/11/1/79/pdf?version=1546591238","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2907583485.pdf","grobid_xml":"https://content.openalex.org/works/W2907583485.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W35847158","https://openalex.org/W1555849598","https://openalex.org/W1575925448","https://openalex.org/W1837697898","https://openalex.org/W1964319967","https://openalex.org/W1984288883","https://openalex.org/W1990994043","https://openalex.org/W1991113069","https://openalex.org/W1993267702","https://openalex.org/W1995450389","https://openalex.org/W1999244633","https://openalex.org/W2018133129","https://openalex.org/W2022902702","https://openalex.org/W2024762046","https://openalex.org/W2054113582","https://openalex.org/W2072445159","https://openalex.org/W2078816540","https://openalex.org/W2079194944","https://openalex.org/W2095364258","https://openalex.org/W2097375363","https://openalex.org/W2103556982","https://openalex.org/W2103580031","https://openalex.org/W2124422914","https://openalex.org/W2129438083","https://openalex.org/W2133059825","https://openalex.org/W2134089414","https://openalex.org/W2152632881","https://openalex.org/W2156438061","https://openalex.org/W2395811491","https://openalex.org/W2414079435","https://openalex.org/W2463484840","https://openalex.org/W2547568010","https://openalex.org/W2763400649","https://openalex.org/W2806808924","https://openalex.org/W2914311475","https://openalex.org/W3125486191","https://openalex.org/W6638563641","https://openalex.org/W6654954808","https://openalex.org/W6675029737","https://openalex.org/W6683562547","https://openalex.org/W6711850960"],"related_works":["https://openalex.org/W4317418752","https://openalex.org/W2084086966","https://openalex.org/W2676717608","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W1999782923","https://openalex.org/W2375786911","https://openalex.org/W4379231730","https://openalex.org/W2626306547","https://openalex.org/W4389858081"],"abstract_inverted_index":{"Traditional":[0],"road":[1,11,33,36,43,131,136],"extraction":[2,57],"algorithms,":[3],"which":[4],"focus":[5],"on":[6],"improving":[7],"the":[8,15,30,53,60,73,78,83,91,104,116,121,134,144,148,151,155,162,165],"accuracy":[9,149],"of":[10,17,96,150,157],"surfaces,":[12],"cannot":[13],"overcome":[14],"interference":[16],"shelter":[18],"caused":[19],"by":[20,102],"vegetation,":[21],"buildings,":[22],"and":[23,42,55,77,82,153,160],"shadows.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"extract":[29],"roads":[31,166],"via":[32],"centerline":[34,40,99,118,126,152],"extraction,":[35,38],"width":[37,95,132],"broken":[39,117,158],"connection,":[41],"reconstruction.":[44],"We":[45],"use":[46],"a":[47,109],"multiscale":[48],"segmentation":[49],"algorithm":[50,68],"to":[51,58,71,89,119],"segment":[52],"images,":[54],"feature":[56],"get":[59],"initial":[61,92,98],"road.":[62],"The":[63,124],"fast":[64],"marching":[65],"method":[66,86,146,163],"(FMM)":[67],"is":[69,87,100,112,127,137,167],"employed":[70],"obtain":[72],"boundary":[74,105],"distance":[75,80,106],"field":[76,111],"source":[79],"field,":[81],"branch":[84],"backing-tracking":[85],"used":[88],"acquire":[90],"centerline.":[93,123],"Road":[94],"each":[97],"calculated":[101],"combining":[103],"fields,":[107],"before":[108],"tensor":[110],"applied":[113],"for":[114,169],"connecting":[115],"gain":[120],"final":[122,125,135],"matched":[128],"with":[129],"its":[130],"when":[133],"reconstructed.":[138],"Three":[139],"experimental":[140],"results":[141],"show":[142],"that":[143,161],"proposed":[145],"improves":[147],"solves":[154],"problem":[156],"centerline,":[159],"reconstructing":[164],"excellent":[168],"maintain":[170],"their":[171],"integrity.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-01-11T00:00:00"}
