{"id":"https://openalex.org/W4387803165","doi":"https://doi.org/10.1109/igarss52108.2023.10283369","title":"Instance Segmentation on 3D City Meshes for Building Extraction","display_name":"Instance Segmentation on 3D City Meshes for Building Extraction","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803165","doi":"https://doi.org/10.1109/igarss52108.2023.10283369"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10283369","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10283369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5085144245","display_name":"Fr\u00e9d\u00e9ric R. Leroux","orcid":"https://orcid.org/0000-0001-8900-5753"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Leroux","raw_affiliation_strings":["University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055383221","display_name":"Micka\u00ebl Germain","orcid":"https://orcid.org/0000-0003-1867-7530"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Micka\u00ebl Germain","raw_affiliation_strings":["University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069459059","display_name":"\u00c9tienne Clabaut","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"\u00c9tienne Clabaut","raw_affiliation_strings":["University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1","XEOS Imaging Inc., Quebec City, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"XEOS Imaging Inc., Quebec City, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026165481","display_name":"Yacine Bouroubi","orcid":"https://orcid.org/0000-0003-1487-2945"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yacine Bouroubi","raw_affiliation_strings":["University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sherbrooke,Center for Applications and Research in Remote Sensing (CARTEL),Department of Applied Geomatics,Sherbrooke,QC,Canada,J1K 2R1","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003917451","display_name":"Tony St-Pierre","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tony St-Pierre","raw_affiliation_strings":["XEOS Imaging Inc.,Quebec City,QC,Canada,G1P 4P5"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XEOS Imaging Inc.,Quebec City,QC,Canada,G1P 4P5","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56289915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"196","issue":null,"first_page":"6975","last_page":"6978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9977999925613403,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/segmentation","display_name":"Segmentation","score":0.9141643047332764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.802914023399353},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6981137990951538},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6497357487678528},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5508924126625061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501481294631958},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4969828426837921},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4715977609157562},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4425336718559265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40340620279312134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3829995095729828},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.366088330745697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3363730311393738},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12058508396148682},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10368534922599792}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.9141643047332764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802914023399353},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6981137990951538},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6497357487678528},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5508924126625061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501481294631958},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4969828426837921},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4715977609157562},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4425336718559265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40340620279312134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3829995095729828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.366088330745697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3363730311393738},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12058508396148682},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10368534922599792},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10283369","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10283369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1569530544","https://openalex.org/W2035727100","https://openalex.org/W2076425218","https://openalex.org/W2789478340","https://openalex.org/W3049511186","https://openalex.org/W3117839341","https://openalex.org/W3187324963","https://openalex.org/W4313409115","https://openalex.org/W6634138237"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"Digital":[0],"twins":[1],"are":[2],"becoming":[3],"increasingly":[4],"popular":[5],"in":[6],"society":[7],"for":[8],"performing":[9],"simulations.":[10],"However,":[11],"to":[12,18,35,51,74,95],"conduct":[13],"simulations,":[14],"it":[15],"is":[16,69,104,108],"necessary":[17],"extract":[19],"information":[20],"about":[21],"the":[22,72,80],"objects":[23],"composing":[24],"an":[25],"urban":[26],"environment.":[27],"Recently,":[28],"a":[29,62,76,86,98,142],"new":[30],"semantic":[31,59,134],"segmentation":[32,53,89,135,147],"model":[33,47,90,107],"applied":[34],"textured":[36],"meshes,":[37],"named":[38],"PicassoNet-II,":[39],"has":[40],"been":[41],"developed.":[42],"The":[43,106],"architecture":[44],"of":[45,54,79,101],"this":[46],"will":[48],"be":[49,93],"modified":[50],"perform":[52,75],"building":[55],"instances":[56],"rather":[57],"than":[58],"segmentation.":[60,83],"Additionally,":[61],"contextual":[63,77],"analysis":[64,78,145],"based":[65,144],"on":[66,133],"Markov":[67,143],"fields":[68],"integrated":[70],"into":[71],"algorithm":[73],"features":[81],"following":[82],"To":[84],"train":[85],"3D":[87],"city":[88],"that":[91,137],"can":[92],"generalized":[94],"any":[96],"dataset,":[97],"large":[99],"amount":[100],"annotated":[102],"data":[103,112,121,140],"required.":[105],"trained":[109],"using":[110],"real":[111],"from":[113,122],"Quebec":[114],"City,":[115],"Canada,":[116],"as":[117,119,126],"well":[118],"simulated":[120,139],"different":[123],"platforms":[124],"such":[125],"Unreal":[127],"Engine":[128],"and":[129,141],"Evermotion.":[130],"Experimental":[131],"results":[132,148],"demonstrate":[136],"both":[138],"improves":[146],"overall.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}