{"id":"https://openalex.org/W2018626749","doi":"https://doi.org/10.1080/13658810701703258","title":"Image\u2010based quality assessment of road databasesX","display_name":"Image\u2010based quality assessment of road databasesX","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2018626749","doi":"https://doi.org/10.1080/13658810701703258","mag":"2018626749"},"language":"en","primary_location":{"id":"doi:10.1080/13658810701703258","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658810701703258","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","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/A5046864745","display_name":"M. Gerke","orcid":"https://orcid.org/0000-0002-2221-6182"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Gerke","raw_affiliation_strings":["ITC \u2013 International Institute for GeoInformation Science and Earth Observation , Hengelosestraat 99 , P.O. Box 6, 7500 AA Enschede, The Netherlands","ITC - International Institute for GeoInformation Science and Earth Observation, Hengelosestraat 99, 7500 AA Enschede, The Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"ITC \u2013 International Institute for GeoInformation Science and Earth Observation , Hengelosestraat 99 , P.O. Box 6, 7500 AA Enschede, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"ITC - International Institute for GeoInformation Science and Earth Observation, Hengelosestraat 99, 7500 AA Enschede, The Netherlands#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069418475","display_name":"Christian Heipke","orcid":"https://orcid.org/0000-0002-7007-9549"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Heipke","raw_affiliation_strings":["Institut f\u00fcr Photogrammetrie und GeoInformation , Leibniz Universit\u00e4t Hannover , Nienburger Str.1, 30167 Hannover, Germany","Institut fur Photogrammetrie und GeoInformation, Leibniz Universitat Hannover, 30167 Hannover, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Photogrammetrie und GeoInformation , Leibniz Universit\u00e4t Hannover , Nienburger Str.1, 30167 Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"Institut fur Photogrammetrie und GeoInformation, Leibniz Universitat Hannover, 30167 Hannover, Germany#TAB#","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046864745"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4787,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95663909,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"8","first_page":"871","last_page":"894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7635903358459473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490869522094727},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5991033315658569},{"id":"https://openalex.org/keywords/object-based-spatial-database","display_name":"Object-based spatial database","score":0.5176839828491211},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5018560886383057},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.481243371963501},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4649554491043091},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.4243663251399994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33860212564468384},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.31719428300857544},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21840637922286987},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.11434009671211243}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7635903358459473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490869522094727},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5991033315658569},{"id":"https://openalex.org/C153938966","wikidata":"https://www.wikidata.org/wiki/Q3348148","display_name":"Object-based spatial database","level":4,"score":0.5176839828491211},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5018560886383057},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.481243371963501},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4649554491043091},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.4243663251399994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33860212564468384},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.31719428300857544},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21840637922286987},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.11434009671211243},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/13658810701703258","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658810701703258","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/9edf403e-7ac1-473d-823e-8ce4faf014bf","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/9edf403e-7ac1-473d-823e-8ce4faf014bf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gerke, M & Heipke, C 2008, 'Image\u2010based quality assessment of road databases', International journal of geographical information science, vol. 22, no. 8, pp. 871-894. https://doi.org/10.1080/13658810701703258","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1561442812","https://openalex.org/W1947255037","https://openalex.org/W1989988760","https://openalex.org/W1993391455","https://openalex.org/W2005525897","https://openalex.org/W2039876768","https://openalex.org/W2046428581","https://openalex.org/W2082692746","https://openalex.org/W2084134149","https://openalex.org/W2107495274","https://openalex.org/W2133039566","https://openalex.org/W2135389630","https://openalex.org/W2156155065","https://openalex.org/W2159498975","https://openalex.org/W2186646903","https://openalex.org/W2322951925","https://openalex.org/W2400801124","https://openalex.org/W2505399031","https://openalex.org/W2959650814","https://openalex.org/W3017143921","https://openalex.org/W3159914786"],"related_works":["https://openalex.org/W2122098189","https://openalex.org/W4251016002","https://openalex.org/W2377819299","https://openalex.org/W2028237718","https://openalex.org/W2156208484","https://openalex.org/W186585275","https://openalex.org/W4375853629","https://openalex.org/W2092656406","https://openalex.org/W2804139585","https://openalex.org/W1983673890"],"abstract_inverted_index":{"In":[0,54],"this":[1,170,217],"paper":[2],"an":[3,354],"approach":[4,249,299,352],"to":[5,56,67,157,230,370],"the":[6,37,46,52,65,71,75,87,102,126,142,150,158,165,194,200,203,208,225,252,289,292,303,306,330,335,343,350,371],"automatic":[7],"quality":[8,38,60,103],"assessment":[9,39,104,127,143],"of":[10,40,62,99,105,122,128,164,202,216,254,261,291,337,342,373],"existing":[11,57,144],"geo\u2010spatial":[12],"data":[13,66,108],"is":[14,20,35,92,197,220,228,235,239,243],"presented.":[15],"The":[16,33,117,161,241,264,285,297],"necessary":[17],"reference":[18],"information":[19],"derived":[21],"automatically":[22,317],"from":[23,74,149,305,319],"up\u2010to\u2010date":[24],"digital":[25],"remotely":[26,320],"sensed":[27,321],"images":[28,76],"using":[29,309],"image":[30],"analysis":[31,324],"methods.":[32],"focus":[34],"on":[36],"roads":[41,88,255,304],"as":[42,97,109],"these":[43,123],"are":[44,77,155,167,367],"among":[45],"most":[47,328],"frequently":[48],"changing":[49],"objects":[50,72,95,124,148,154,166,196,280,313,345],"in":[51,114,125,258,327,353],"landscape.":[53],"contrast":[55],"approaches":[58],"for":[59,86,136,180,207],"control":[61],"road":[63,106,115,131,147,182,310,344,375],"data,":[64],"be":[68,231,267],"assessed":[69],"and":[70,79,89,119,152,211,256,311],"extracted":[73,153,176,195,223,318],"modelled":[78,159],"processed":[80],"together.":[81],"A":[82],"geometric\u2010topologic":[83],"relationship":[84],"model":[85],"their":[90],"surroundings":[91],"defined.":[93],"Context":[94],"such":[96],"rows":[98],"trees":[100],"support":[101,135],"vector":[107],"they":[110],"may":[111,266],"explain":[112],"gaps":[113],"extraction.":[116],"extraction":[118],"explicit":[120],"incorporation":[121],"a":[129,181,186,213,246,259,270,274],"given":[130,192,307],"database":[132,151,183,209,218,226],"give":[133],"stronger":[134],"or":[137],"against":[138],"its":[139],"correctness.":[140],"During":[141],"relations":[145],"between":[146],"compared":[156],"relations.":[160],"certainty":[162],"measures":[163],"integrated":[168],"into":[169,245,269],"comparison.":[171],"Normally,":[172],"more":[173],"than":[174],"one":[175],"object":[177,210,219,227],"gives":[178],"evidence":[179,191,205],"object;":[184],"therefore,":[185],"reasoning":[187],"algorithm":[188],"which":[189,250,314],"combines":[190],"by":[193,222,349],"used.":[198],"If":[199],"majority":[201],"total":[204],"argues":[206],"if":[212],"certain":[214],"amount":[215],"covered":[221],"objects,":[224],"assumed":[229],"correct,":[232],"i.e.":[233],"it":[234,238],"accepted,":[236],"otherwise":[237],"rejected.":[240,284],"procedure":[242],"embedded":[244],"two\u2010stage":[247,332],"graph\u2010based":[248],"exploits":[251],"connectivity":[253],"results":[257,287],"reduction":[260],"false":[262,338,365],"alarms.":[263],"algorithms":[265],"incorporated":[268],"semi\u2010automatic":[271],"environment,":[272],"where":[273],"human":[275],"operator":[276],"only":[277],"checks":[278],"those":[279],"that":[281,326],"have":[282,315,346],"been":[283,316,347,360],"experimental":[286],"confirm":[288],"importance":[290],"employed":[293],"advanced":[294],"statistical":[295],"modelling.":[296],"overall":[298],"can":[300],"reliably":[301],"assess":[302],"database,":[308],"context":[312],"imagery.":[322],"Sensitivity":[323],"shows":[325],"cases":[329],"chosen":[331],"graph\u2010approach":[333],"reduces":[334],"number":[336],"decisions.":[339],"Approximately":[340],"66%":[341],"accepted":[348,361],"developed":[351],"extended":[355],"test":[356],"area,":[357],"1%":[358],"has":[359],"though":[362],"incorrect.":[363],"Those":[364],"decisions":[366],"mainly":[368],"related":[369],"lack":[372],"modelling":[374],"junction":[376],"areas.":[377]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}