{"id":"https://openalex.org/W2436494909","doi":"https://doi.org/10.3390/rs8060501","title":"An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation","display_name":"An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation","publication_year":2016,"publication_date":"2016-06-15","ids":{"openalex":"https://openalex.org/W2436494909","doi":"https://doi.org/10.3390/rs8060501","mag":"2436494909"},"language":"en","primary_location":{"id":"doi:10.3390/rs8060501","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8060501","pdf_url":"https://www.mdpi.com/2072-4292/8/6/501/pdf?version=1465991637","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/2072-4292/8/6/501/pdf?version=1465991637","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090385340","display_name":"Wuming Zhang","orcid":"https://orcid.org/0000-0003-4603-1067"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuming Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069389278","display_name":"Jianbo Qi","orcid":"https://orcid.org/0000-0001-6601-7882"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianbo Qi","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0001-6601-7882","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081336263","display_name":"Peng Wan","orcid":"https://orcid.org/0000-0002-5366-835X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wan","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0002-5366-835X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108740842","display_name":"Hongtao Wang","orcid":"https://orcid.org/0000-0002-1226-4009"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Wang","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069103302","display_name":"Donghui Xie","orcid":"https://orcid.org/0000-0003-3923-6056"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghui Xie","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0003-3923-6056","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381778","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0002-4353-3363"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107597668","display_name":"Guangjian Yan","orcid":"https://orcid.org/0000-0001-5030-748X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjian Yan","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0001-5030-748X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069389278"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":26.7017,"has_fulltext":false,"cited_by_count":1483,"citation_normalized_percentile":{"value":0.99891979,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":"6","first_page":"501","last_page":"501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9872999787330627,"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/lidar","display_name":"Lidar","score":0.936188817024231},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7819724082946777},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.7229775786399841},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7134625911712646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6609475016593933},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6197232604026794},{"id":"https://openalex.org/keywords/digital-surface","display_name":"Digital surface","score":0.5926021337509155},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.5814052224159241},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5757806301116943},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5239244103431702},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49804067611694336},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.45952802896499634},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4482736587524414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2968582510948181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26197874546051025},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21561548113822937},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14358946681022644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1382322907447815},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.129002183675766},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08308026194572449},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07093274593353271}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.936188817024231},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7819724082946777},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.7229775786399841},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7134625911712646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6609475016593933},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6197232604026794},{"id":"https://openalex.org/C2983128922","wikidata":"https://www.wikidata.org/wiki/Q1789829","display_name":"Digital surface","level":3,"score":0.5926021337509155},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.5814052224159241},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5757806301116943},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5239244103431702},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49804067611694336},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.45952802896499634},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4482736587524414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2968582510948181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26197874546051025},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21561548113822937},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14358946681022644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1382322907447815},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.129002183675766},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08308026194572449},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07093274593353271},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs8060501","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8060501","pdf_url":"https://www.mdpi.com/2072-4292/8/6/501/pdf?version=1465991637","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:doaj.org/article:38f175a0eadc4064a6408d03691dab3c","is_oa":true,"landing_page_url":"https://doaj.org/article/38f175a0eadc4064a6408d03691dab3c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 8, Iss 6, p 501 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs8060501","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8060501","pdf_url":"https://www.mdpi.com/2072-4292/8/6/501/pdf?version=1465991637","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":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3658301272","display_name":null,"funder_award_id":"41331171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4157386456","display_name":null,"funder_award_id":"2013CB733402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4176484029","display_name":null,"funder_award_id":"40801131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6660817412","display_name":null,"funder_award_id":"41171265","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"},{"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":33,"referenced_works":["https://openalex.org/W48960425","https://openalex.org/W54516136","https://openalex.org/W84227776","https://openalex.org/W169356037","https://openalex.org/W1499937184","https://openalex.org/W1995807936","https://openalex.org/W1996147979","https://openalex.org/W2008070546","https://openalex.org/W2009214675","https://openalex.org/W2010980358","https://openalex.org/W2016102955","https://openalex.org/W2027781877","https://openalex.org/W2034546021","https://openalex.org/W2035553864","https://openalex.org/W2053154970","https://openalex.org/W2056769281","https://openalex.org/W2064577520","https://openalex.org/W2065438578","https://openalex.org/W2081923829","https://openalex.org/W2083260484","https://openalex.org/W2091168295","https://openalex.org/W2092924074","https://openalex.org/W2127015718","https://openalex.org/W2143173427","https://openalex.org/W2158166073","https://openalex.org/W2183992675","https://openalex.org/W2229319020","https://openalex.org/W2304374093","https://openalex.org/W6601946194","https://openalex.org/W6602225176","https://openalex.org/W6603383834","https://openalex.org/W6649400883","https://openalex.org/W6698148603"],"related_works":["https://openalex.org/W1582871225","https://openalex.org/W2281664702","https://openalex.org/W4320725409","https://openalex.org/W2563557164","https://openalex.org/W4285268712","https://openalex.org/W4200322727","https://openalex.org/W2558589469","https://openalex.org/W2521514131","https://openalex.org/W3195152500","https://openalex.org/W3196472187"],"abstract_inverted_index":{"Separating":[0],"point":[1,69,125],"clouds":[2],"into":[3],"ground":[4,113,117],"and":[5,23,60,73,93,133,146,160,197],"non-ground":[6],"measurements":[7],"is":[8,71,78,172],"an":[9,109,165],"essential":[10],"step":[11],"to":[12,31,40,80,107,154,193],"generate":[13,108],"digital":[14],"terrain":[15],"models":[16],"(DTMs)":[17],"from":[18,122],"airborne":[19],"LiDAR":[20,68,96,124,131,195],"(light":[21],"detection":[22],"ranging)":[24],"data.":[25],"However,":[26],"most":[27,175],"filtering":[28,51,158,179,184],"algorithms":[29],"need":[30],"carefully":[32],"set":[33],"up":[34],"a":[35,49,56,67,75],"number":[36],"of":[37,100,111,169,176],"complicated":[38],"parameters":[39],"achieve":[41],"high":[42],"accuracy.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"present":[48],"new":[50],"method":[52,185],"which":[53,171],"only":[54],"needs":[55],"few":[57],"easy-to-set":[58],"integer":[59],"Boolean":[61],"parameters.":[62],"Within":[63],"the":[64,82,87,90,94,98,101,112,116,123,129,134,156,161,177,188],"proposed":[65,157,182],"approach,":[66],"cloud":[70,126],"inverted,":[72],"then":[74],"rigid":[76],"cloth":[77,91,102],"used":[79,153],"cover":[81],"inverted":[83],"surface.":[84,114,136],"By":[85],"analyzing":[86],"interactions":[88],"between":[89],"nodes":[92,103],"corresponding":[95],"points,":[97],"locations":[99],"can":[104,119],"be":[105,120],"determined":[106],"approximation":[110],"Finally,":[115],"points":[118,132],"extracted":[121],"by":[127,140],"comparing":[128],"original":[130],"generated":[135],"Benchmark":[137],"datasets":[138],"provided":[139],"ISPRS":[141],"(International":[142],"Society":[143],"for":[144],"Photogrammetry":[145],"Remote":[147],"Sensing)":[148],"working":[149],"Group":[150],"III/3":[151],"are":[152],"validate":[155],"method,":[159],"experimental":[162],"results":[163],"yield":[164],"average":[166],"total":[167],"error":[168],"4.58%,":[170],"comparable":[173],"with":[174],"state-of-the-art":[178],"algorithms.":[180],"The":[181],"easy-to-use":[183],"may":[186],"help":[187],"users":[189],"without":[190],"much":[191],"experience":[192],"use":[194],"data":[196],"related":[198],"technology":[199],"in":[200],"their":[201],"own":[202],"applications":[203],"more":[204],"easily.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":114},{"year":2025,"cited_by_count":295},{"year":2024,"cited_by_count":265},{"year":2023,"cited_by_count":227},{"year":2022,"cited_by_count":169},{"year":2021,"cited_by_count":165},{"year":2020,"cited_by_count":117},{"year":2019,"cited_by_count":66},{"year":2018,"cited_by_count":46},{"year":2017,"cited_by_count":19}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2016-06-24T00:00:00"}