{"id":"https://openalex.org/W2201320818","doi":"https://doi.org/10.1109/bigdata.2015.7364044","title":"Visual analysis of large-scale LiDAR point clouds","display_name":"Visual analysis of large-scale LiDAR point clouds","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2201320818","doi":"https://doi.org/10.1109/bigdata.2015.7364044","mag":"2201320818"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7364044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7364044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","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/A5108240048","display_name":"Wanbo Luo","orcid":"https://orcid.org/0009-0001-8049-7189"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wanbo Luo","raw_affiliation_strings":["FuJian Surveying and Mapping Institute, P.R, China","Indiana University, IN, USA"],"affiliations":[{"raw_affiliation_string":"FuJian Surveying and Mapping Institute, P.R, China","institution_ids":[]},{"raw_affiliation_string":"Indiana University, IN, USA","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323406","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-0843-399X"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]},{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Indiana University, IN, USA","University of Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University, IN, USA","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"University of Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108240048"],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":0.9083,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76159568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"96","issue":null,"first_page":"2487","last_page":"2492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"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":0.9962999820709229,"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/T10799","display_name":"Data Visualization and Analytics","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.7477357387542725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7310034036636353},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7108039855957031},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5637192726135254},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.5421842336654663},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5374003648757935},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5346056222915649},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5332313179969788},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4778708815574646},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.457788348197937},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4270900785923004},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4234517514705658},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4209222197532654},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4113544821739197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37076589465141296},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32368963956832886},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.29065871238708496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27690818905830383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2141704559326172},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19145819544792175},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14916148781776428},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13731777667999268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12847095727920532},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07640635967254639}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7477357387542725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310034036636353},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7108039855957031},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5637192726135254},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.5421842336654663},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5374003648757935},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5346056222915649},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5332313179969788},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4778708815574646},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.457788348197937},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4270900785923004},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4234517514705658},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4209222197532654},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4113544821739197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37076589465141296},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32368963956832886},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.29065871238708496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27690818905830383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2141704559326172},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19145819544792175},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14916148781776428},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13731777667999268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12847095727920532},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07640635967254639},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"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":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7364044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7364044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W156207602","https://openalex.org/W1673310716","https://openalex.org/W2014988121","https://openalex.org/W2029436479","https://openalex.org/W2068743010","https://openalex.org/W2125867579","https://openalex.org/W2148876542","https://openalex.org/W4235729578","https://openalex.org/W4399639731","https://openalex.org/W6637131181","https://openalex.org/W6654180818"],"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":{"In":[0],"this":[1,40],"study":[2],"we":[3],"analyzed":[4],"a":[5,36,61,66],"series":[6,62],"of":[7,16,44,63],"LiDAR":[8,32],"point":[9,33,58],"clouds":[10,59],"acquired":[11],"over":[12],"Taijiang":[13],"district":[14],"(part":[15],"Fujian":[17],"province,":[18],"China).":[19],"The":[20,97],"objective":[21],"was":[22],"to":[23,73],"detect":[24],"and":[25,50,103,117],"extract":[26],"water":[27,82],"surface":[28],"area":[29],"from":[30],"individual":[31],"cloud,":[34],"in":[35],"parallel":[37],"means.":[38],"To":[39],"end,":[41],"interactive":[42],"visualization":[43],"fine-grained":[45],"data,":[46],"global":[47],"cluster":[48,77,101],"algorithms,":[49],"statistical":[51,115],"investigation":[52],"were":[53,107],"applied.":[54],"We":[55],"first":[56],"rasterized":[57],"into":[60],"matrices;":[64],"then":[65],"density":[67],"based":[68],"algorithm":[69],"(DBSCAN)":[70],"allowed":[71],"us":[72],"isolate":[74],"the":[75,81,86,100],"single":[76],"features":[78],"which":[79],"represented":[80],"surfaces.":[83],"Base":[84],"on":[85],"clustered":[87],"features,":[88],"our":[89],"framework":[90],"created":[91],"polygons":[92],"for":[93,99,114],"further":[94],"quantitative":[95],"assessments.":[96],"computations":[98],"analyses":[102],"their":[104],"parallelized":[105],"versions":[106],"carried":[108],"out":[109],"using":[110],"R":[111],"free":[112],"software":[113],"computing":[116],"graphics.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}