{"id":"https://openalex.org/W4256304493","doi":"https://doi.org/10.1109/geoinformatics.2013.6626100","title":"Urban road information extraction from high resolution remotely sensed image based on semantic model","display_name":"Urban road information extraction from high resolution remotely sensed image based on semantic model","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W4256304493","doi":"https://doi.org/10.1109/geoinformatics.2013.6626100"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2013.6626100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","raw_type":"proceedings-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/A5100632256","display_name":"Jinliang Wang","orcid":"https://orcid.org/0000-0001-7202-646X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinliang Wang","raw_affiliation_strings":["College of tourism and Geographical Science, Yunnan Normal University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"College of tourism and Geographical Science, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041252880","display_name":"Jiahang Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahang Qian","raw_affiliation_strings":["College of tourism and Geographical Science, Yunnan Normal University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"College of tourism and Geographical Science, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013851888","display_name":"Rubiao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143356","display_name":"Chuxiong Normal University","ror":"https://ror.org/04c14yn55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rubiao Ma","raw_affiliation_strings":["College of Vocational and Adult Education, Chuxiong Normal University, Chuxiong, China"],"affiliations":[{"raw_affiliation_string":"College of Vocational and Adult Education, Chuxiong Normal University, Chuxiong, China","institution_ids":["https://openalex.org/I4210143356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100632256"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":1.1606,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83433236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9703999757766724,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900913715362549},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5516869425773621},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5453490614891052},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4888591170310974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48369723558425903},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4796364903450012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47018304467201233},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.43606919050216675},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4248136878013611},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1886221170425415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900913715362549},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5516869425773621},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5453490614891052},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4888591170310974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48369723558425903},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4796364903450012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47018304467201233},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.43606919050216675},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4248136878013611},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1886221170425415},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2013.6626100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","raw_type":"proceedings-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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W258305884","https://openalex.org/W1555849598","https://openalex.org/W2017362688","https://openalex.org/W2053077052","https://openalex.org/W2054133810","https://openalex.org/W2081294768","https://openalex.org/W2100712978","https://openalex.org/W2109169243","https://openalex.org/W2128439793","https://openalex.org/W2167069501","https://openalex.org/W2353110427","https://openalex.org/W2365588069","https://openalex.org/W2374502433","https://openalex.org/W2387396958","https://openalex.org/W2388093948","https://openalex.org/W2392529143","https://openalex.org/W4318975394","https://openalex.org/W7052647495","https://openalex.org/W7062087392"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"The":[0,79,128],"road":[1,10,34,96,115,143],"is":[2,40,121,131,154],"an":[3],"important":[4],"fundamental":[5],"geographic":[6],"information.":[7],"Acquiring":[8],"the":[9,41,106,110,118,124,142],"information":[11,35,97,144],"quickly":[12],"and":[13,27,49,57,66,123],"accurately":[14],"has":[15,85,90],"a":[16,67,139],"great":[17],"significance":[18],"for":[19,72],"GIS":[20],"data":[21],"updating,":[22],"image":[23,153],"matching,":[24],"target":[25],"detection,":[26],"automated":[28],"digital":[29],"mapping.":[30],"Automatic/semi-automatic":[31],"extraction":[32,74,145],"of":[33,36,43,52,59,70,75,82,113,135,148],"remote":[37],"sensing":[38],"images":[39,56],"problem":[42],"visual":[44],"interpretation":[45],"computer":[46],"research,":[47],"RS,":[48],"GIS.":[50],"Application":[51],"high":[53],"resolution":[54],"satellite":[55,150],"development":[58],"semantic":[60,104,146],"model":[61,81,147],"theory":[62],"provides":[63],"more":[64],"possibilities":[65],"higher":[68],"degree":[69],"accuracy":[71,112,120],"object":[73],"remotely":[76,151],"sensed":[77,152],"image.":[78],"OAR":[80],"human":[83],"cognition":[84],"been":[86,91],"introduced,":[87],"experimental":[88],"study":[89],"carried":[92],"out":[93],"on":[94],"extracting":[95],"from":[98],"Quick":[99],"Bird":[100],"multi-spectral":[101],"Imaging":[102],"with":[103],"model,":[105],"result":[107,130],"shows":[108],"that":[109,134,141],"length":[111],"extracted":[114,129],"was":[116],"89.19%,":[117],"width":[119],"71.54%,":[122],"intact":[125],"rate":[126],"50.32%.":[127],"better":[132],"than":[133],"object-oriented":[136],"extracted.":[137],"As":[138],"whole,":[140],"highresolution":[149],"efficiency.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-01-01T23:40:50.289205","created_date":"2025-10-10T00:00:00"}
