{"id":"https://openalex.org/W1936319247","doi":"https://doi.org/10.1109/icsdm.2015.7298042","title":"Hybrid filtering of Lidar Data based on the Echoes","display_name":"Hybrid filtering of Lidar Data based on the Echoes","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1936319247","doi":"https://doi.org/10.1109/icsdm.2015.7298042","mag":"1936319247"},"language":"en","primary_location":{"id":"doi:10.1109/icsdm.2015.7298042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2015.7298042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)","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/A5102547691","display_name":"Ma Yundong","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yundong Ma","raw_affiliation_strings":["Guillin University of Technology, GuangXi, China","Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guillin University of Technology, GuangXi, China","institution_ids":[]},{"raw_affiliation_string":"Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077392647","display_name":"Chuntao Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuntao Wei","raw_affiliation_strings":["School of Civil Engineering, Architecture Chongqing Jiaotong University, Chongqing, China","School of Civil Engineering and Architecture Chongqing Jiaotong University Chongqing 400074 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Architecture Chongqing Jiaotong University, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]},{"raw_affiliation_string":"School of Civil Engineering and Architecture Chongqing Jiaotong University Chongqing 400074 China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011266256","display_name":"Tao Hu","orcid":"https://orcid.org/0000-0003-4463-004X"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Hu","raw_affiliation_strings":["Guillin University of Technology, GuangXi, China","Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guillin University of Technology, GuangXi, China","institution_ids":[]},{"raw_affiliation_string":"Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431163","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-9048-2979"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Guillin University of Technology, GuangXi, China","Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guillin University of Technology, GuangXi, China","institution_ids":[]},{"raw_affiliation_string":"Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075826136","display_name":"Guoqing Zhou","orcid":"https://orcid.org/0000-0001-8295-0496"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Zhou","raw_affiliation_strings":["Guillin University of Technology, GuangXi, China","Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guillin University of Technology, GuangXi, China","institution_ids":[]},{"raw_affiliation_string":"Guillin University of Technology, NO.12, JianGan Road, Guilin, GuangXi, 541004, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2335,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60480807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"33","issue":null,"first_page":"147","last_page":"151"},"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":0.9962000250816345,"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":0.9951000213623047,"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/lidar","display_name":"Lidar","score":0.7770949006080627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7042880654335022},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6911558508872986},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6199403405189514},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5338559746742249},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5216289162635803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.491759330034256},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4911327064037323},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.48971322178840637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46256765723228455},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42968714237213135},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4231346547603607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42180973291397095},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41862982511520386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3503532409667969},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13872942328453064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13547182083129883}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7770949006080627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042880654335022},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6911558508872986},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6199403405189514},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5338559746742249},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5216289162635803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.491759330034256},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4911327064037323},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.48971322178840637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46256765723228455},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42968714237213135},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4231346547603607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42180973291397095},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41862982511520386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3503532409667969},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13872942328453064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13547182083129883},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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/icsdm.2015.7298042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2015.7298042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6600000262260437,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W48960425","https://openalex.org/W54516136","https://openalex.org/W84227776","https://openalex.org/W145324663","https://openalex.org/W2009214675","https://openalex.org/W2010221273","https://openalex.org/W2056769281","https://openalex.org/W2363355013","https://openalex.org/W6601946194","https://openalex.org/W6602225176","https://openalex.org/W6603383834","https://openalex.org/W6605793953"],"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":{"The":[0],"airborne":[1,104],"laser":[2],"scanning":[3],"(ALS)":[4],"has":[5,48],"become":[6],"the":[7,16,27,40,43,54,66,69,74,91,113,121,130,136,148,160,163,185,195,203,210],"most":[8,32,177],"effective":[9],"way":[10],"to":[11,134,175],"acquire":[12],"3D":[13],"information":[14],"of":[15,42,53,68,86,100,103,115,154,157,178,197,205],"earth's":[17],"surface.":[18],"However,":[19],"data":[20],"post-processing":[21],"lags":[22],"far":[23],"behind":[24],"hardware":[25],"especially":[26],"filtering":[28,70,132,206],"algorithm.":[29],"At":[30,144],"present,":[31],"algorithms":[33,57],"for":[34,124,208],"DEM":[35],"generation":[36],"are":[37,58],"based":[38,59,89,111],"on":[39,60,90,112],"mutation":[41],"elevation,":[44],"and":[45,107,126,162,180,212],"every":[46],"method":[47,186],"its":[49],"own":[50],"defects.":[51],"All":[52],"existing":[55,131],"filter":[56,147],"a":[61,80],"priori":[62],"information,":[63],"so":[64],"that":[65,171,183],"accuracy":[67,161],"is":[71,139,173],"affected":[72],"by":[73],"terrain":[75,140],"fluctuation.":[76],"In":[77,151],"this":[78,189],"paper,":[79],"new":[81],"algorithm":[82,133,207],"called":[83],"Hybrid":[84],"Filtering":[85],"Lidar":[87,105],"Data":[88],"Echoes":[92],"was":[93],"proposed.":[94],"First,":[95],"we":[96,119,146],"make":[97],"an":[98],"analysis":[99],"echo":[101,116],"characteristic":[102,114],"data,":[106,199],"propose":[108],"classification":[109],"schemas":[110],"characteristic.":[117],"Then":[118],"use":[120],"Pseudo":[122],"Grid":[123],"segmentation":[125],"index.":[127],"Furthermore,":[128],"using":[129],"distinguish":[135],"seed":[137],"point":[138,141,159],"or":[142],"not.":[143],"last,":[145],"cooked":[149],"data.":[150],"theory,":[152],"because":[153],"removing":[155],"part":[156],"object":[158],"efficiency":[164],"must":[165],"be":[166],"significantly":[167],"increased.":[168],"Experiments":[169],"show":[170],"it":[172],"effectively":[174],"eliminate":[176],"vegetation":[179],"building":[181,211],"points,":[182],"means,":[184],"proposed":[187],"in":[188],"paper":[190],"not":[191],"only":[192],"can":[193],"reduce":[194],"amount":[196],"computing":[198],"but":[200],"also":[201],"improve":[202],"effect":[204],"eliminating":[209],"vegetation.":[213]},"counts_by_year":[{"year":2022,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
