{"id":"https://openalex.org/W2249103819","doi":"https://doi.org/10.1109/geoinformatics.2015.7378653","title":"A waveform exploitation optimized multiscale curvature algorithm for recognizing ground echoes from airborne laser scanner in densely forested area","display_name":"A waveform exploitation optimized multiscale curvature algorithm for recognizing ground echoes from airborne laser scanner in densely forested area","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2249103819","doi":"https://doi.org/10.1109/geoinformatics.2015.7378653","mag":"2249103819"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2015.7378653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","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/A5085440681","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0002-3083-4909"},"institutions":[{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Lu","raw_affiliation_strings":["Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China","Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008417937","display_name":"Yong Pang","orcid":"https://orcid.org/0000-0002-9760-6580"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Pang","raw_affiliation_strings":["Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China","Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085440681"],"corresponding_institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08948366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7988154292106628},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7405470609664917},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.693361222743988},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6911354660987854},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6694064140319824},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.6101263761520386},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5844599604606628},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4778158962726593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46558016538619995},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.4372151792049408},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4318048357963562},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.3511331081390381},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2987590432167053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.26141929626464844},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21193993091583252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15966984629631042},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13546475768089294},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13097530603408813},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09398046135902405}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7988154292106628},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7405470609664917},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.693361222743988},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6911354660987854},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6694064140319824},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.6101263761520386},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5844599604606628},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4778158962726593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46558016538619995},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.4372151792049408},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4318048357963562},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.3511331081390381},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2987590432167053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26141929626464844},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21193993091583252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15966984629631042},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13546475768089294},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13097530603408813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09398046135902405},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2015.7378653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W48960425","https://openalex.org/W1241110089","https://openalex.org/W1990077509","https://openalex.org/W2008070546","https://openalex.org/W2071997121","https://openalex.org/W2094605604","https://openalex.org/W2104998606","https://openalex.org/W2133029430","https://openalex.org/W2136708959","https://openalex.org/W6903521148"],"related_works":["https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2088131065","https://openalex.org/W1969266378","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3196715007","https://openalex.org/W2366440988","https://openalex.org/W4399030596"],"abstract_inverted_index":{"Extracting":[0],"reliable":[1],"digital":[2],"terrain":[3],"models":[4],"is":[5,66,147],"a":[6],"significant":[7],"prerequisite":[8],"for":[9,122],"utilizing":[10],"the":[11,28,47,56,98,108,117,130,139,143],"airborne":[12],"laser":[13,48],"scanning":[14],"data":[15,38,101],"in":[16,42,75,96,102,136],"various":[17],"applications.":[18],"The":[19],"most":[20],"widely":[21],"used":[22],"ground":[23,119,141],"filtering":[24,84],"algorithms":[25],"only":[26],"consider":[27],"spatial":[29,81,123],"and":[30,39,120,132],"structural":[31],"information":[32,124],"from":[33,71],"geometry":[34],"perspective":[35],"of":[36,73,88],"LiDAR":[37,74],"perform":[40],"poorly":[41],"densely":[43],"forested":[44],"area":[45],"where":[46,138],"shot":[49],"cannot":[50],"penetrate":[51],"heavy":[52],"canopy":[53,145],"to":[54,68,79,116],"detect":[55],"true":[57,118,140],"ground.":[58],"A":[59],"waveform":[60],"exploitation":[61],"optimized":[62],"multiscale":[63],"curvature":[64],"algorithm":[65],"presented":[67],"introduce":[69],"contributions":[70],"radiometry":[72],"recognizing":[76],"vegetation":[77,104,110],"signals":[78],"complement":[80],"metrics":[82],"based":[83,125],"approaches.":[85],"Preliminary":[86],"results":[87],"this":[89],"novel":[90],"strategy":[91],"have":[92],"shown":[93],"its":[94],"potential":[95],"classifying":[97],"point":[99],"cloud":[100],"dense":[103,144],"area,":[105],"even":[106],"when":[107],"low":[109],"clusters":[111],"are":[112],"distributed":[113],"very":[114],"close":[115],"misleading":[121],"algorithms.":[126],"It":[127],"reduces":[128],"both":[129],"commission":[131],"omission":[133],"errors":[134],"significantly":[135],"areas":[137],"beneath":[142],"top":[146],"under":[148],"sampled.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
