{"id":"https://openalex.org/W4402261061","doi":"https://doi.org/10.1109/igarss53475.2024.10641299","title":"Automatic Point Cloud Classification of Under-Represented Pole-Like Objects Based On Hierarchical Directed Graph","display_name":"Automatic Point Cloud Classification of Under-Represented Pole-Like Objects Based On Hierarchical Directed Graph","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261061","doi":"https://doi.org/10.1109/igarss53475.2024.10641299"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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/A5049390648","display_name":"Zhenyu Ma","orcid":"https://orcid.org/0000-0002-1498-2477"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Zhenyu Ma","raw_affiliation_strings":["Bruno Kessler Foundation (FBK),3D Optical Metrology Unit,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"Bruno Kessler Foundation (FBK),3D Optical Metrology Unit,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017067809","display_name":"Onur Can Bayrak","orcid":"https://orcid.org/0000-0002-5147-747X"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Onur Can Bayrak","raw_affiliation_strings":["Bruno Kessler Foundation (FBK),3D Optical Metrology Unit,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"Bruno Kessler Foundation (FBK),3D Optical Metrology Unit,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025841679","display_name":"Fabio Remondino","orcid":"https://orcid.org/0000-0001-6097-5342"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Remondino","raw_affiliation_strings":["Bruno Kessler Foundation (FBK),3D Optical Metrology Unit,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"Bruno Kessler Foundation (FBK),3D Optical Metrology Unit,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049390648"],"corresponding_institution_ids":["https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.7537,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66778634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8307","last_page":"8311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.6735224723815918},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6580461263656616},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5338242053985596},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4708031415939331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4453085660934448},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4403059184551239},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3193661570549011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2131654918193817},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1269201636314392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6735224723815918},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6580461263656616},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5338242053985596},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4708031415939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4453085660934448},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4403059184551239},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3193661570549011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2131654918193817},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1269201636314392},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2031373452","https://openalex.org/W2039186139","https://openalex.org/W2148254631","https://openalex.org/W2330711204","https://openalex.org/W2338318698","https://openalex.org/W2591119809","https://openalex.org/W2795531775","https://openalex.org/W2897757554","https://openalex.org/W2950593565","https://openalex.org/W2990613095","https://openalex.org/W3016245793","https://openalex.org/W3026383987","https://openalex.org/W3048385881","https://openalex.org/W3103201847","https://openalex.org/W3133884127","https://openalex.org/W3165291398","https://openalex.org/W3184872565","https://openalex.org/W3202541643","https://openalex.org/W4220841318","https://openalex.org/W4311274514","https://openalex.org/W4367853150","https://openalex.org/W4378191150","https://openalex.org/W4387772246","https://openalex.org/W4399535945"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Pole-like":[0],"objects":[1,23,57,151],"represent":[2],"important":[3],"street":[4],"infrastructures":[5],"for":[6,83],"road":[7,10,110],"inventory":[8],"and":[9,107,126,132,137,153],"mapping.":[11],"Existing":[12],"supervised":[13],"point":[14,59,133],"cloud":[15],"classification":[16],"methods":[17],"cannot":[18],"correctly":[19],"classify":[20],"underrepresented":[21],"pole-like":[22,56,109,150],"in":[24,93],"airborne":[25],"laser":[26],"scanning":[27],"(ALS)":[28],"or":[29],"photogrammetric":[30],"datasets":[31],"due":[32],"to":[33,49,100],"the":[34,38,51,62,77,81,102,120],"limited":[35],"number":[36,103],"of":[37,53,104,130],"annotated":[39],"points.":[40],"In":[41],"this":[42],"article,":[43],"we":[44],"proposed":[45,99,114],"an":[46],"unsupervised":[47],"method":[48,115,146],"overcome":[50],"challenge":[52],"automatically":[54,148],"extracting":[55],"using":[58],"clouds.":[60],"Firstly,":[61],"non-ground":[63],"scattered":[64],"points":[65,79],"are":[66,74],"segmented":[67],"into":[68],"meaningful":[69],"segments.":[70],"Then,":[71],"DBSCAN":[72],"clusters":[73],"generated":[75],"form":[76],"layered":[78],"as":[80],"nodes":[82],"hierarchical":[84],"directed":[85,105],"graph":[86],"construction.":[87],"Finally,":[88],"a":[89],"graph-based":[90],"connectivity":[91],"analysis":[92],"combination":[94],"with":[95],"depth-first":[96],"search":[97],"is":[98],"count":[101],"edges":[106],"extract":[108,149],"furniture":[111],"candidates.":[112],"The":[113,128,140],"has":[116],"been":[117],"tested":[118],"on":[119],"Hessigheim":[121],"3D":[122],"dataset":[123],"at":[124],"segment-":[125],"point-scale.":[127],"precision":[129],"segment":[131],"scale":[134],"reached":[135],"81.08%":[136],"96.84%,":[138],"respectively.":[139],"experimental":[141],"results":[142],"demonstrated":[143],"that":[144],"our":[145],"can":[147],"robustly":[152],"efficiently.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
