{"id":"https://openalex.org/W2793792141","doi":"https://doi.org/10.1109/jstars.2018.2793915","title":"Joint Clusters and Iterative Graph Cuts for ALS Point Cloud Filtering","display_name":"Joint Clusters and Iterative Graph Cuts for ALS Point Cloud Filtering","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2793792141","doi":"https://doi.org/10.1109/jstars.2018.2793915","mag":"2793792141"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2018.2793915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2793915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5056180462","display_name":"Huan Ni","orcid":"https://orcid.org/0000-0002-5557-4322"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Ni","raw_affiliation_strings":["Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5557-4322","affiliations":[{"raw_affiliation_string":"Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646454","display_name":"Xiangguo Lin","orcid":"https://orcid.org/0000-0003-1812-985X"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangguo Lin","raw_affiliation_strings":["Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1812-985X","affiliations":[{"raw_affiliation_string":"Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555557","display_name":"Jixian Zhang","orcid":"https://orcid.org/0000-0002-9409-3919"},"institutions":[{"id":"https://openalex.org/I4210120126","display_name":"National Quality Inspection and Testing Center for Surveying and Mapping Products","ror":"https://ror.org/02tvjer66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixian Zhang","raw_affiliation_strings":["National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9409-3919","affiliations":[{"raw_affiliation_string":"National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, China","institution_ids":["https://openalex.org/I4210120126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013116360","display_name":"Dong Chen","orcid":"https://orcid.org/0000-0001-8118-3889"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]},{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, Calgary, Canada","Nanjing Forestry University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8118-3889","affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027174277","display_name":"Jiju Peethambaran","orcid":"https://orcid.org/0000-0003-0245-5933"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiju Peethambaran","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, Calgary, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.8089,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.8268453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"3","first_page":"990","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/point-cloud","display_name":"Point cloud","score":0.8658015727996826},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.698647141456604},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6906654238700867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541377902030945},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.5819992423057556},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5781553983688354},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.554735004901886},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5209025740623474},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4135342836380005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3824281394481659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36078351736068726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2662501335144043},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13848727941513062},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12716901302337646},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11055007576942444}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8658015727996826},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.698647141456604},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6906654238700867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541377902030945},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.5819992423057556},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5781553983688354},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.554735004901886},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5209025740623474},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4135342836380005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3824281394481659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36078351736068726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2662501335144043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13848727941513062},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12716901302337646},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11055007576942444},{"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2018.2793915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2793915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2297140692","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u7f6e\u4fe1\u795e\u7ecf\u7f51\u7edc\u7684\u5730\u8868\u8986\u76d6\u8d28\u91cf\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41671440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G251742388","display_name":null,"funder_award_id":"41301521","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7780318039","display_name":"\u9762\u5411\u5bf9\u8c61\u7684\u57ce\u5e02\u9053\u8def\u53ca\u5468\u8fb9\u8f66\u8f7d\u6fc0\u5149\u626b\u63cf\u70b9\u4e91\u5206\u7c7b\u7406\u8bba\u548c\u65b9\u6cd5","funder_award_id":"41371405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W48960425","https://openalex.org/W54516136","https://openalex.org/W84227776","https://openalex.org/W1574708379","https://openalex.org/W1968019867","https://openalex.org/W1974696470","https://openalex.org/W1984464677","https://openalex.org/W1987058898","https://openalex.org/W1993630630","https://openalex.org/W2002529409","https://openalex.org/W2009214675","https://openalex.org/W2010660720","https://openalex.org/W2016102955","https://openalex.org/W2022394120","https://openalex.org/W2027781877","https://openalex.org/W2034546021","https://openalex.org/W2048192550","https://openalex.org/W2056769281","https://openalex.org/W2065438578","https://openalex.org/W2075565810","https://openalex.org/W2085261163","https://openalex.org/W2127015718","https://openalex.org/W2144650681","https://openalex.org/W2221483222","https://openalex.org/W2335639764","https://openalex.org/W2336835984","https://openalex.org/W2395466322","https://openalex.org/W2436494909","https://openalex.org/W2439667875","https://openalex.org/W2512257441","https://openalex.org/W2599022140","https://openalex.org/W2753789408","https://openalex.org/W2793671493","https://openalex.org/W6601946194","https://openalex.org/W6602225176","https://openalex.org/W6603383834","https://openalex.org/W6634235466","https://openalex.org/W6688883122","https://openalex.org/W6987583870"],"related_works":["https://openalex.org/W2813834476","https://openalex.org/W3016861202","https://openalex.org/W4391129294","https://openalex.org/W2807666361","https://openalex.org/W2196111060","https://openalex.org/W4213431252","https://openalex.org/W4306760020","https://openalex.org/W2120071540","https://openalex.org/W2528465333","https://openalex.org/W4200038092"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,22,174],"that":[3,157],"combines":[4],"joint":[5],"clusters":[6,25],"and":[7,33,58,70,92,107,121,132,148,168,182],"iterative":[8,63,124],"graph":[9,64,125],"cuts":[10,126],"for":[11],"ALS":[12],"point":[13,31,49,53,83,146,154],"cloud":[14,50],"filtering":[15],"is":[16,111,127],"proposed":[17],"in":[18,96],"this":[19],"paper.":[20],"The":[21],"first":[23],"extracts":[24],"of":[26,89,102],"points":[27,37,72,101,134],"from":[28],"the":[29,39,76,81,87,93,97,108,114,118,136],"raw":[30,82,90],"cloud,":[32,84],"then":[34],"classifies":[35],"ground":[36,131],"at":[38,135],"cluster":[40,104,137],"level.":[41,138],"There":[42],"are":[43,73,105],"four":[44],"main":[45],"steps,":[46],"i.e.,":[47],"two-step":[48,77],"clustering,":[51],"critical":[52,122],"extraction,":[54],"initial":[55,109,119],"terrain":[56,59,110,120],"determination,":[57],"densification":[60,179],"based":[61,180],"on":[62,140],"cuts.":[65],"Smooth":[66],"clusters,":[67,69],"rough":[68],"scattered":[71],"extracted":[74],"by":[75],"clustering":[78],"to":[79,129],"depict":[80],"which":[85],"reduces":[86],"complexity":[88],"data":[91],"judgment":[94],"difficulty":[95],"subsequent":[98],"procedures.":[99],"Critical":[100],"each":[103],"extracted,":[106],"determined":[112],"among":[113],"smooth":[115],"clusters.":[116],"Using":[117],"points,":[123],"performed":[128],"segment":[130],"nonground":[133],"Experiments":[139],"ISPRS":[141],"dataset":[142,150],"with":[143,151],"a":[144,152,161],"low":[145],"density":[147,155],"Utah":[149],"moderate":[153],"show":[156],"our":[158,173],"approach":[159],"provides":[160],"satisfactory":[162],"trade":[163],"off":[164],"between":[165],"Type":[166,169,185],"I":[167],"II":[170,186],"errors.":[171,187],"Moreover,":[172],"significantly":[175],"outperforms":[176],"progressive":[177],"TIN":[178],"filters,":[181],"successfully":[183],"controls":[184]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}