{"id":"https://openalex.org/W4293013131","doi":"https://doi.org/10.1080/13658816.2022.2111572","title":"A geometry-aware attention network for semantic segmentation of MLS point clouds","display_name":"A geometry-aware attention network for semantic segmentation of MLS point clouds","publication_year":2022,"publication_date":"2022-08-24","ids":{"openalex":"https://openalex.org/W4293013131","doi":"https://doi.org/10.1080/13658816.2022.2111572"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2022.2111572","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2111572","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_geometry-aware_attention_network_for_semantic_segmentation_of_MLS_point_clouds/20582070","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013613228","display_name":"Jie Wan","orcid":"https://orcid.org/0000-0002-3048-1496"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wan","raw_affiliation_strings":["Key Laboratory of Geological and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069698847","display_name":"Yongyang Xu","orcid":"https://orcid.org/0000-0001-7421-4915"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyang Xu","raw_affiliation_strings":["National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067328912","display_name":"Qinjun Qiu","orcid":"https://orcid.org/0000-0001-6224-5183"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinjun Qiu","raw_affiliation_strings":["National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457293","display_name":"Zhong Xie","orcid":"https://orcid.org/0000-0002-4669-5923"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong Xie","raw_affiliation_strings":["Key Laboratory of Geological and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China","National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100457293"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":1.9934,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84569625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"37","issue":"1","first_page":"138","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8996701836585999},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7040808200836182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6385287046432495},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.636240541934967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703130960464478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5288596749305725},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4743413031101227},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42834970355033875},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41569942235946655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3955511450767517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38311445713043213},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2957862317562103},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22217199206352234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17589595913887024}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8996701836585999},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7040808200836182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385287046432495},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.636240541934967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703130960464478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5288596749305725},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4743413031101227},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42834970355033875},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41569942235946655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3955511450767517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38311445713043213},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2957862317562103},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22217199206352234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17589595913887024},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/13658816.2022.2111572","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2111572","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:figshare.com:article/20582070","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_geometry-aware_attention_network_for_semantic_segmentation_of_MLS_point_clouds/20582070","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.20582070.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.20582070.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20582070","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_geometry-aware_attention_network_for_semantic_segmentation_of_MLS_point_clouds/20582070","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2521859816","display_name":null,"funder_award_id":"300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2792426403","display_name":null,"funder_award_id":"302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1973749534","https://openalex.org/W2040861824","https://openalex.org/W2060061906","https://openalex.org/W2074437835","https://openalex.org/W2103820944","https://openalex.org/W2342223463","https://openalex.org/W2556802233","https://openalex.org/W2565662353","https://openalex.org/W2603429625","https://openalex.org/W2606202972","https://openalex.org/W2790308185","https://openalex.org/W2884561390","https://openalex.org/W2890848214","https://openalex.org/W2904994970","https://openalex.org/W2914608630","https://openalex.org/W2962928871","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963312728","https://openalex.org/W2963727135","https://openalex.org/W2963881378","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2990613095","https://openalex.org/W2997890711","https://openalex.org/W2998083489","https://openalex.org/W3011788244","https://openalex.org/W3025802147","https://openalex.org/W3031288689","https://openalex.org/W3034239841","https://openalex.org/W3039448353","https://openalex.org/W3046442394","https://openalex.org/W3111535274","https://openalex.org/W3125648170","https://openalex.org/W3138458448","https://openalex.org/W3153465022","https://openalex.org/W3208624098","https://openalex.org/W4212774754","https://openalex.org/W4249142012","https://openalex.org/W4291007208","https://openalex.org/W6600577311","https://openalex.org/W6601158483"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4282934273"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,142],"of":[2,16,68,143,182,193],"mobile":[3],"laser":[4],"scanning":[5],"(MLS)":[6],"point":[7,37,62,70,87,136],"clouds":[8],"can":[9],"provide":[10],"meaningful":[11],"3":[12,31,44,147],"D":[13,32,45,148],"semantic":[14,33],"information":[15,34],"urban":[17],"facilities":[18],"for":[19,84,96,138,163],"various":[20],"applications.":[21],"However,":[22],"it":[23],"still":[24],"remains":[25],"a":[26,49,59,73,81,106,122],"challenge":[27],"to":[28,41,88,111,126,159],"extract":[29],"accurate":[30],"from":[35],"MLS":[36,203],"cloud":[38,71],"data":[39],"due":[40],"its":[42,94],"irregular":[43],"geometric":[46,66,91,132],"structure":[47],"in":[48,197],"large-scale":[50],"outdoor":[51],"scene.":[52],"To":[53],"this":[54,56],"end,":[55],"study":[57],"develops":[58],"geometry-aware":[60,100],"attention":[61,109],"network":[63],"(GAANet)":[64],"with":[65,190],"properties":[67],"the":[69,76,90,103,118,141,164,176,183,198],"as":[72],"reference.":[74],"Specifically,":[75],"proposed":[77,184],"method":[78,104],"first":[79],"builds":[80],"graph-like":[82],"region":[83],"each":[85],"input":[86],"establish":[89],"correlation":[92],"toward":[93],"neighbors":[95],"robustly":[97],"descripting":[98],"local":[99,114,129],"features.":[101],"Thereafter,":[102],"introduces":[105],"novel":[107],"multi-head":[108],"mechanism":[110],"efficiently":[112],"learn":[113],"discriminative":[115],"features":[116,137],"on":[117,171],"constructed":[119],"graphs":[120],"and":[121,130,178,195,200],"feature":[123],"combination":[124],"operation":[125],"capture":[127],"both":[128],"global":[131],"dependencies":[133],"inside":[134],"fused":[135],"significantly":[139],"facilitating":[140],"small":[144],"or":[145],"incomplete":[146],"objects":[149],"at":[150],"point-level.":[151],"Finally,":[152],"an":[153],"adaptive":[154],"loss":[155],"function":[156],"is":[157],"appended":[158],"handle":[160],"class":[161],"imbalance":[162],"overall":[165],"performance":[166,189],"improvement.":[167],"The":[168],"validation":[169],"experiments":[170],"two":[172],"challenging":[173],"benchmarks":[174],"demonstrate":[175],"effectiveness":[177],"powerful":[179],"generation":[180],"ability":[181],"method,":[185],"which":[186],"achieves":[187],"state-of-the-art":[188],"mean":[191],"IoU":[192],"65.09%":[194],"95.20%":[196],"Toronto-3D":[199],"Oakland":[201],"3-D":[202],"dataset,":[204],"respectively.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}