{"id":"https://openalex.org/W2557716278","doi":"https://doi.org/10.1109/ivcnz.2015.7761524","title":"Extracting road centrelines from binary road images by optimizing geodesic lines","display_name":"Extracting road centrelines from binary road images by optimizing geodesic lines","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2557716278","doi":"https://doi.org/10.1109/ivcnz.2015.7761524","mag":"2557716278"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2015.7761524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5061629969","display_name":"Shaoguang Zhou","orcid":"https://orcid.org/0000-0001-6711-0886"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoguang Zhou","raw_affiliation_strings":["School of Earth Science and Engineering, Hohai University Nanjing, P R China"],"affiliations":[{"raw_affiliation_string":"School of Earth Science and Engineering, Hohai University Nanjing, P R China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053408745","display_name":"Guojun Lu","orcid":"https://orcid.org/0000-0003-2523-7576"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guojun Lu","raw_affiliation_strings":["Faculty of Science and Technology, Federation University Australia, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Federation University Australia, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007657733","display_name":"Shyh Wei Teng","orcid":"https://orcid.org/0000-0003-0347-3797"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shyh Wei Teng","raw_affiliation_strings":["Faculty of Science and Technology, Federation University Australia, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Federation University Australia, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009138721","display_name":"Dengsheng Zhang","orcid":"https://orcid.org/0000-0001-8728-1746"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dengsheng Zhang","raw_affiliation_strings":["Faculty of Science and Technology, Federation University Australia, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Federation University Australia, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061629969"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3179276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"6"},"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":0.9908999800682068,"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":0.9294000267982483,"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/geodesic","display_name":"Geodesic","score":0.7123042345046997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601128339767456},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5578904747962952},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5388734936714172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4632187485694885},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36506420373916626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19864422082901},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14771345257759094},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07767045497894287}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.7123042345046997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601128339767456},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5578904747962952},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5388734936714172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4632187485694885},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36506420373916626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19864422082901},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14771345257759094},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07767045497894287}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz.2015.7761524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:vital:11104","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154295","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1934098059","https://openalex.org/W1974097572","https://openalex.org/W1984288883","https://openalex.org/W2015785930","https://openalex.org/W2050560048","https://openalex.org/W2077957609","https://openalex.org/W2078816540","https://openalex.org/W2095364258","https://openalex.org/W2097375363","https://openalex.org/W2098180043","https://openalex.org/W2119082135","https://openalex.org/W2128906900","https://openalex.org/W2131910503","https://openalex.org/W2138719385","https://openalex.org/W2143972956","https://openalex.org/W2151669938","https://openalex.org/W2157115443","https://openalex.org/W6680684001"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Binary":[0],"road":[1,19,47,86,110,150],"images":[2,9,24,151],"can":[3],"be":[4],"obtained":[5],"from":[6,21],"remotely":[7],"sensed":[8],"with":[10,154],"the":[11,52,55,67,85,103,108,120,129,155,163,170,174,181,184],"aid":[12],"of":[13,38,41,54,81,119,148,157,173],"classification":[14],"and":[15,49,77,128,152,176],"segmentation":[16],"techniques.":[17],"Extracting":[18],"centrelines":[20,80],"these":[22,91],"binary":[23,149],"are":[25],"crucial":[26],"to":[27,45,58,95,101,125,145],"update":[28],"a":[29,135],"Geographic":[30],"Information":[31],"System":[32],"(GIS)":[33],"database.":[34],"A":[35],"current":[36],"state":[37,156],"art":[39,158],"method":[40,142,165],"centreline":[42],"extraction":[43],"needs":[44],"remove":[46],"junctions":[48],"depends":[50],"on":[51,191],"accuracy":[53,83],"endpoints,":[56],"leading":[57],"three":[59,146],"main":[60],"limitations:":[61],"(1)":[62],"causing":[63],"small":[64],"gaps":[65,182],"in":[66,107,179,183],"roads,":[68,76,175],"(2)":[69],"wrongly":[70],"treating":[71],"short":[72,193],"non-road":[73,194],"segments":[74],"as":[75],"(3)":[78],"producing":[79],"low":[82],"around":[84],"end":[87,118,171],"regions.":[88],"To":[89],"overcome":[90],"limitations,":[92],"we":[93],"propose":[94],"use":[96],"an":[97,189],"iteratively":[98],"searching":[99],"scheme":[100],"obtain":[102],"longest":[104],"geodesic":[105,121],"line":[106],"preprocessed":[109],"skeleton":[111],"images.":[112],"Several":[113],"image":[114],"pixels":[115],"at":[116],"each":[117],"lines":[122],"were":[123,132],"removed":[124],"avoid":[126],"noise,":[127],"remaining":[130],"parts":[131],"optimized":[133],"using":[134],"dynamic":[136],"programming":[137],"snake":[138],"model.":[139],"The":[140],"proposed":[141,164],"is":[143,166,177],"applied":[144],"types":[147],"compared":[153],"method.":[159],"It":[160,186],"shows":[161],"that":[162],"less":[167],"affected":[168],"by":[169],"regions":[172],"effective":[178],"filling":[180],"roads.":[185],"also":[187],"has":[188],"advantage":[190],"processing":[192],"segments.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
