{"id":"https://openalex.org/W2947614256","doi":"https://doi.org/10.3390/rs11141662","title":"Comparing Human Versus Machine-Driven Cadastral Boundary Feature Extraction","display_name":"Comparing Human Versus Machine-Driven Cadastral Boundary Feature Extraction","publication_year":2019,"publication_date":"2019-07-12","ids":{"openalex":"https://openalex.org/W2947614256","doi":"https://doi.org/10.3390/rs11141662","mag":"2947614256"},"language":"en","primary_location":{"id":"doi:10.3390/rs11141662","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141662","pdf_url":"https://www.mdpi.com/2072-4292/11/14/1662/pdf?version=1562922314","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/2072-4292/11/14/1662/pdf?version=1562922314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071410524","display_name":"Emmanuel Nyandwi","orcid":"https://orcid.org/0000-0003-2444-8072"},"institutions":[{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":true,"raw_author_name":"Emmanuel Nyandwi","raw_affiliation_strings":["Department of Geography and Urban Planning, School of Architecture and Built Environment (SABE), College of Science and Technology (CST), University of Rwanda, Kigali City B.P 3900, Rwanda"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Urban Planning, School of Architecture and Built Environment (SABE), College of Science and Technology (CST), University of Rwanda, Kigali City B.P 3900, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001059507","display_name":"Mila Koeva","orcid":"https://orcid.org/0000-0001-7612-5270"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mila Koeva","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063850520","display_name":"Divyani Kohli","orcid":"https://orcid.org/0000-0002-9672-3582"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Divyani Kohli","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048173223","display_name":"Rohan Bennett","orcid":"https://orcid.org/0000-0002-1200-2068"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rohan Bennett","raw_affiliation_strings":["Department of Business Technology and Entrepreneurship, Swinburne Business School, BA1231 Hawthorn campus, Melbourne, VIC 3122, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Business Technology and Entrepreneurship, Swinburne Business School, BA1231 Hawthorn campus, Melbourne, VIC 3122, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071410524"],"corresponding_institution_ids":["https://openalex.org/I4210087849"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7128,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.81804992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"14","first_page":"1662","last_page":"1662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9990000128746033,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9976000189781189,"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/cadastre","display_name":"Cadastre","score":0.952835202217102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106994390487671},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5955109000205994},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5734574794769287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4955829381942749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38843971490859985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32131004333496094},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2830231785774231},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23957327008247375}],"concepts":[{"id":"https://openalex.org/C134207755","wikidata":"https://www.wikidata.org/wiki/Q191072","display_name":"Cadastre","level":2,"score":0.952835202217102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106994390487671},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5955109000205994},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5734574794769287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4955829381942749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38843971490859985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32131004333496094},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2830231785774231},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23957327008247375},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs11141662","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141662","pdf_url":"https://www.mdpi.com/2072-4292/11/14/1662/pdf?version=1562922314","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:ris.utwente.nl:openaire/9e70d9f4-d639-4904-83b4-9daf994aef54","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/9e70d9f4-d639-4904-83b4-9daf994aef54","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nyandwi, E, Koeva, M N, Kohli, D & Bennett, R 2019, 'Comparing Human Versus Machine-Driven Cadastral Boundary Feature Extraction', Remote sensing, vol. 11, no. 14, 1662. https://doi.org/10.3390/rs11141662","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:250c332ff18d42e19c965c9004b71220","is_oa":true,"landing_page_url":"https://doaj.org/article/250c332ff18d42e19c965c9004b71220","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 11, Iss 14, p 1662 (2019)","raw_type":"article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:fa54720d-36cd-4342-bc7b-eb27ab842c23/1","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.3/450427","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol. 11, no. 14 (Jul 2019), article no. 1662","raw_type":""}],"best_oa_location":{"id":"doi:10.3390/rs11141662","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141662","pdf_url":"https://www.mdpi.com/2072-4292/11/14/1662/pdf?version=1562922314","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":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947614256.pdf","grobid_xml":"https://content.openalex.org/works/W2947614256.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W29643851","https://openalex.org/W258761889","https://openalex.org/W590010525","https://openalex.org/W845365781","https://openalex.org/W1533244802","https://openalex.org/W1676677252","https://openalex.org/W1886189849","https://openalex.org/W1900855048","https://openalex.org/W1947816616","https://openalex.org/W1974764210","https://openalex.org/W1984850722","https://openalex.org/W1986117672","https://openalex.org/W2002568643","https://openalex.org/W2027319213","https://openalex.org/W2060403623","https://openalex.org/W2071522261","https://openalex.org/W2082510242","https://openalex.org/W2084945517","https://openalex.org/W2089716607","https://openalex.org/W2095028777","https://openalex.org/W2096562958","https://openalex.org/W2112064287","https://openalex.org/W2122038616","https://openalex.org/W2122892105","https://openalex.org/W2125911428","https://openalex.org/W2128098741","https://openalex.org/W2138304221","https://openalex.org/W2142939943","https://openalex.org/W2160934142","https://openalex.org/W2164816590","https://openalex.org/W2166112186","https://openalex.org/W2273699038","https://openalex.org/W2414925235","https://openalex.org/W2512695020","https://openalex.org/W2527276685","https://openalex.org/W2563005026","https://openalex.org/W2563332515","https://openalex.org/W2583659076","https://openalex.org/W2612775684","https://openalex.org/W2617584168","https://openalex.org/W2625043143","https://openalex.org/W2688079092","https://openalex.org/W2735796370","https://openalex.org/W2735833004","https://openalex.org/W2744902601","https://openalex.org/W2751311838","https://openalex.org/W2754090100","https://openalex.org/W2755711016","https://openalex.org/W2774607411","https://openalex.org/W4249729987","https://openalex.org/W6631841683","https://openalex.org/W6639396823","https://openalex.org/W6644124988","https://openalex.org/W6646572973","https://openalex.org/W6646878268","https://openalex.org/W6650923797","https://openalex.org/W6674602416","https://openalex.org/W6676565741","https://openalex.org/W6678498435","https://openalex.org/W6681101177","https://openalex.org/W6716241776","https://openalex.org/W6755146300"],"related_works":["https://openalex.org/W2361566382","https://openalex.org/W1562347873","https://openalex.org/W4247263692","https://openalex.org/W1899898439","https://openalex.org/W2051591117","https://openalex.org/W4248721403","https://openalex.org/W2212678439","https://openalex.org/W2017709107","https://openalex.org/W1963842245","https://openalex.org/W2359942614"],"abstract_inverted_index":{"The":[0,187],"objective":[1],"to":[2,18,63,66,90,125,159,198,208,226,235],"fast-track":[3],"the":[4,19,26,33,51,103,106,117,122,130,133,185,199,228,261,269],"mapping":[5,42],"and":[6,31,49,80,116,144,156,165,221,237,266],"registration":[7],"of":[8,11,22,28,35,53,96,105,119,189,201,219,230],"large":[9],"numbers":[10],"unrecorded":[12],"land":[13,29],"rights":[14],"globally":[15],"has":[16],"led":[17],"experimental":[20],"application":[21,34],"Artificial":[23],"Intelligence":[24],"in":[25,77,132,163],"domain":[27],"administration,":[30],"specifically":[32],"automated":[36],"visual":[37],"cognition":[38],"techniques":[39,87,206],"for":[40,114,121,127,244],"cadastral":[41,69,182,245],"tasks.":[43],"In":[44,212],"this":[45,190],"research,":[46],"we":[47,223,252],"applied":[48],"compared":[50,124,176,207],"ability":[52],"rule-based":[54],"systems":[55],"within":[56,260],"Object-Based":[57],"Image":[58],"Analysis":[59],"(OBIA),":[60],"as":[61,153],"opposed":[62],"human":[64,178],"analysis,":[65],"extract":[67],"visible":[68,150],"boundaries":[70,109],"from":[71,184],"very":[72],"high-resolution":[73],"World":[74],"View-2":[75],"images,":[76],"both":[78],"rural":[79,97],"urban":[81,134,142],"settings.":[82],"From":[83],"our":[84,213],"experiments,":[85],"machine-based":[86],"were":[88,138],"able":[89],"automatically":[91,107],"delineate":[92],"a":[93,256],"good":[94],"proportion":[95],"parcels":[98],"with":[99,149,177,196],"explicit":[100],"polygons":[101],"where":[102],"correctness":[104],"extracted":[108],"was":[110],"47.4%":[111],"against":[112],"74.24%":[113],"humans":[115],"completeness":[118],"45%":[120],"machine":[123],"70.4%":[126],"humans.":[128],"On":[129],"contrary,":[131],"area,":[135],"automatic":[136],"results":[137,188],"counterintuitive:":[139],"even":[140],"though":[141],"plots":[143],"buildings":[145],"are":[146],"clearly":[147],"marked":[148],"features":[151],"such":[152],"fences,":[154],"roads":[155],"tacitly":[157],"perceptible":[158],"eyes,":[160],"automation":[161],"resulted":[162],"geometrically":[164,175],"topologically":[166],"poorly":[167],"structured":[168],"data.":[169],"Thus,":[170],"these":[171],"could":[172],"neither":[173],"be":[174,273],"digitisation,":[179],"nor":[180],"actual":[181],"data":[183],"field.":[186],"study":[191],"provide":[192],"an":[193,216],"updated":[194],"snapshot":[195],"regards":[197],"performance":[200],"contemporary":[202],"machine-driven":[203],"feature":[204,246],"extraction":[205],"conventional":[209],"manual":[210],"digitising.":[211],"methodology,":[214],"using":[215,241],"iterative":[217],"approach":[218],"segmentation":[220,242],"classification,":[222],"demonstrated":[224,250],"how":[225,251],"overcome":[227],"weaknesses":[229],"having":[231],"undesirable":[232],"segments":[233],"due":[234],"intra-parcel":[236],"inter-parcel":[238],"variability,":[239],"when":[240],"approaches":[243],"delineation.":[247],"We":[248],"also":[249],"can":[253,272],"easily":[254],"implement":[255],"geometric":[257],"comparison":[258],"framework":[259],"Esri\u2019s":[262],"ArcGIS":[263],"software":[264],"environment":[265],"firmly":[267],"believe":[268],"developed":[270],"methodology":[271],"reproduced.":[274]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
