{"id":"https://openalex.org/W4220799731","doi":"https://doi.org/10.3390/rs14061516","title":"A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification","display_name":"A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4220799731","doi":"https://doi.org/10.3390/rs14061516"},"language":"en","primary_location":{"id":"doi:10.3390/rs14061516","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061516","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1516/pdf?version=1648022640","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/2072-4292/14/6/1516/pdf?version=1648022640","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067027440","display_name":"Lingfeng Liao","orcid":"https://orcid.org/0000-0002-2594-4054"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfeng Liao","raw_affiliation_strings":["School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069565271","display_name":"Shengjun Tang","orcid":"https://orcid.org/0000-0002-8262-7397"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengjun Tang","raw_affiliation_strings":["School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057465927","display_name":"Jianghai Liao","orcid":"https://orcid.org/0000-0001-7238-7118"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianghai Liao","raw_affiliation_strings":["School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452118","display_name":"Xiaoming Li","orcid":"https://orcid.org/0000-0001-8986-9500"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Li","raw_affiliation_strings":["School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598070","display_name":"Weixi Wang","orcid":"https://orcid.org/0000-0002-9941-7556"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixi Wang","raw_affiliation_strings":["School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378845","display_name":"Yaxin Li","orcid":"https://orcid.org/0000-0002-5610-3223"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yaxin Li","raw_affiliation_strings":["Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen 518057, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen 518057, China","institution_ids":["https://openalex.org/I182722699","https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101532183","display_name":"Renzhong Guo","orcid":"https://orcid.org/0000-0001-9376-2618"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renzhong Guo","raw_affiliation_strings":["School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Research Institute for Smart Cities, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069565271"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.247,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.86843577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"6","first_page":"1516","last_page":"1516"},"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":0.9995999932289124,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9973000288009644,"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/point-cloud","display_name":"Point cloud","score":0.8688585758209229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386219501495361},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6495866179466248},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5504159927368164},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5329984426498413},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4924684464931488},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4847380816936493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46943381428718567},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4257248342037201},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4138736128807068},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41071611642837524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35123199224472046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3282322585582733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13562461733818054},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10850846767425537},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10677793622016907},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08772489428520203}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8688585758209229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386219501495361},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6495866179466248},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5504159927368164},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5329984426498413},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4924684464931488},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4847380816936493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46943381428718567},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4257248342037201},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4138736128807068},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41071611642837524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35123199224472046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3282322585582733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13562461733818054},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10850846767425537},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10677793622016907},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08772489428520203},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.3390/rs14061516","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061516","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1516/pdf?version=1648022640","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:7f33604fad1a47a198438a812e1a77f9","is_oa":true,"landing_page_url":"https://doaj.org/article/7f33604fad1a47a198438a812e1a77f9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 6, p 1516 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/6/1516/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14061516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 14; Issue 6; Pages: 1516","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14061516","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061516","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1516/pdf?version=1648022640","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":[{"display_name":"Life in Land","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220799731.pdf","grobid_xml":"https://content.openalex.org/works/W4220799731.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1571051704","https://openalex.org/W1970531977","https://openalex.org/W1973644502","https://openalex.org/W1975853804","https://openalex.org/W1978120937","https://openalex.org/W1985908905","https://openalex.org/W1990339742","https://openalex.org/W1994699846","https://openalex.org/W2031973565","https://openalex.org/W2033863690","https://openalex.org/W2041170980","https://openalex.org/W2063712217","https://openalex.org/W2063907334","https://openalex.org/W2086504823","https://openalex.org/W2098764590","https://openalex.org/W2102673432","https://openalex.org/W2117645012","https://openalex.org/W2118246710","https://openalex.org/W2135249503","https://openalex.org/W2143516773","https://openalex.org/W2152864241","https://openalex.org/W2159957997","https://openalex.org/W2171592532","https://openalex.org/W2415334435","https://openalex.org/W2470269552","https://openalex.org/W2473418274","https://openalex.org/W2599022140","https://openalex.org/W2609747629","https://openalex.org/W2610213140","https://openalex.org/W2793671493","https://openalex.org/W2798459260","https://openalex.org/W2804860796","https://openalex.org/W2887869984","https://openalex.org/W2910390973","https://openalex.org/W2911964244","https://openalex.org/W2931978301","https://openalex.org/W2943844484","https://openalex.org/W2962949934","https://openalex.org/W2963046274","https://openalex.org/W2979750740","https://openalex.org/W3008274274","https://openalex.org/W3025802147","https://openalex.org/W3030808049","https://openalex.org/W3034981362","https://openalex.org/W3084921481","https://openalex.org/W3126909426","https://openalex.org/W3155309226","https://openalex.org/W3196047781","https://openalex.org/W3214112567","https://openalex.org/W6675472469","https://openalex.org/W6747904511","https://openalex.org/W6804219125"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"As":[0],"an":[1],"essential":[2],"part":[3],"of":[4,118,148,166,174,186],"point":[5,19,22,29,34,41,80,86,104,119,175],"cloud":[6,23,42,81,87,105,120],"processing,":[7],"autonomous":[8],"classification":[9,24,82,173],"is":[10],"conventionally":[11],"used":[12],"in":[13,180,190],"various":[14],"multifaceted":[15],"scenes":[16],"and":[17,39,59,78,89,109,131,133,150,168],"non-regular":[18],"distributions.":[20],"State-of-the-art":[21],"methods":[25,53],"mostly":[26],"process":[27],"raw":[28],"clouds,":[30],"using":[31],"a":[32,76,96],"single":[33],"as":[35],"the":[36,49,103,111,115,157,184,187],"basic":[37],"unit":[38],"calculating":[40],"features":[43,125],"by":[44],"searching":[45],"local":[46],"neighbors":[47],"via":[48],"k-neighborhood":[50],"method.":[51],"Such":[52],"tend":[54],"to":[55,67,141],"be":[56],"computationally":[57],"inefficient":[58],"have":[60],"difficulty":[61],"obtaining":[62],"accurate":[63],"feature":[64,106,121,138,143],"descriptions":[65],"due":[66],"inappropriate":[68],"neighborhood":[69],"selection.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,123],"propose":[75],"robust":[77],"effective":[79],"approach":[83],"that":[84,156],"integrates":[85],"supervoxels":[88],"their":[90],"locally":[91],"convex":[92],"connected":[93],"patches":[94],"into":[95,126],"random":[97],"forest":[98],"classifier,":[99],"which":[100],"effectively":[101],"improves":[102],"calculation":[107,139],"accuracy":[108],"reduces":[110],"computational":[112],"cost.":[113],"Considering":[114],"different":[116],"types":[117],"descriptions,":[122],"divide":[124],"three":[127,136],"categories":[128],"(point-based,":[129],"eigen-based,":[130],"grid-based)":[132],"accordingly":[134],"design":[135],"distinct":[137],"strategies":[140],"improve":[142],"reliability.":[144],"Two":[145],"International":[146],"Society":[147],"Photogrammetry":[149],"Remote":[151],"Sensing":[152],"benchmark":[153],"tests":[154],"show":[155],"proposed":[158,188],"method":[159,189],"achieves":[160],"state-of-the-art":[161],"performance,":[162],"with":[163,177],"average":[164],"F1-scores":[165],"89.16":[167],"83.58,":[169],"respectively.":[170],"The":[171],"successful":[172],"clouds":[176],"great":[178],"variation":[179],"elevation":[181],"also":[182],"demonstrates":[183],"reliability":[185],"challenging":[191],"scenes.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2022-04-03T00:00:00"}
