{"id":"https://openalex.org/W2512257441","doi":"https://doi.org/10.3390/rs8090710","title":"Edge Detection and Feature Line Tracing in 3D-Point Clouds by Analyzing Geometric Properties of Neighborhoods","display_name":"Edge Detection and Feature Line Tracing in 3D-Point Clouds by Analyzing Geometric Properties of Neighborhoods","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2512257441","doi":"https://doi.org/10.3390/rs8090710","mag":"2512257441"},"language":"en","primary_location":{"id":"doi:10.3390/rs8090710","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8090710","pdf_url":"https://www.mdpi.com/2072-4292/8/9/710/pdf?version=1472713963","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/2072-4292/8/9/710/pdf?version=1472713963","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056180462","display_name":"Huan Ni","orcid":"https://orcid.org/0000-0002-5557-4322"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Ni","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646454","display_name":"Xiangguo Lin","orcid":"https://orcid.org/0000-0003-1812-985X"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangguo Lin","raw_affiliation_strings":["Chinese Academy of Surveying and Mapping, No. 28 Lianhuachixi Road, Beijing 100830, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, No. 28 Lianhuachixi Road, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102344897","display_name":"Xiaogang Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Ning","raw_affiliation_strings":["Chinese Academy of Surveying and Mapping, No. 28 Lianhuachixi Road, Beijing 100830, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, No. 28 Lianhuachixi Road, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101555557","display_name":"Jixian Zhang","orcid":"https://orcid.org/0000-0002-9409-3919"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jixian Zhang","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101555557"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.1154,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.96549512,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"9","first_page":"710","last_page":"710"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"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/ransac","display_name":"RANSAC","score":0.8249225616455078},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.8009340763092041},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7765059471130371},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6666288375854492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6492815613746643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5726706981658936},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5505155920982361},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5390033721923828},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5145413279533386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4967556595802307},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47682327032089233},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4758855104446411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4726604223251343},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.46984949707984924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24638456106185913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2121381163597107},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19633004069328308},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1857251524925232},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08291912078857422},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07497778534889221}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8249225616455078},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.8009340763092041},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7765059471130371},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6666288375854492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492815613746643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5726706981658936},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5505155920982361},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5390033721923828},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5145413279533386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4967556595802307},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47682327032089233},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4758855104446411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4726604223251343},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.46984949707984924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24638456106185913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2121381163597107},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19633004069328308},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1857251524925232},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08291912078857422},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07497778534889221},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs8090710","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8090710","pdf_url":"https://www.mdpi.com/2072-4292/8/9/710/pdf?version=1472713963","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:8698ce3b2f9d4c8fbd659b0970194a23","is_oa":true,"landing_page_url":"https://doaj.org/article/8698ce3b2f9d4c8fbd659b0970194a23","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-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 9, p 710 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/9/710/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8090710","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 8; Issue 9; Pages: 710","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs8090710","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8090710","pdf_url":"https://www.mdpi.com/2072-4292/8/9/710/pdf?version=1472713963","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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2512257441.pdf","grobid_xml":"https://content.openalex.org/works/W2512257441.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W33985956","https://openalex.org/W83360984","https://openalex.org/W206063426","https://openalex.org/W1506179068","https://openalex.org/W1518932439","https://openalex.org/W1529697143","https://openalex.org/W1901475431","https://openalex.org/W1965722128","https://openalex.org/W1968245656","https://openalex.org/W1970797945","https://openalex.org/W1971091026","https://openalex.org/W1976379828","https://openalex.org/W1986522259","https://openalex.org/W1994699846","https://openalex.org/W2021044308","https://openalex.org/W2035965089","https://openalex.org/W2039041067","https://openalex.org/W2041170980","https://openalex.org/W2053395988","https://openalex.org/W2055569426","https://openalex.org/W2075670646","https://openalex.org/W2075806403","https://openalex.org/W2082177474","https://openalex.org/W2087166203","https://openalex.org/W2099701027","https://openalex.org/W2104525659","https://openalex.org/W2122069218","https://openalex.org/W2127767808","https://openalex.org/W2137297080","https://openalex.org/W2149668583","https://openalex.org/W2152654418","https://openalex.org/W2153409035","https://openalex.org/W2153728718","https://openalex.org/W2165321571","https://openalex.org/W2167832640","https://openalex.org/W2185813601","https://openalex.org/W2189311789","https://openalex.org/W2299098318","https://openalex.org/W2335639764","https://openalex.org/W2439667875","https://openalex.org/W2465638337","https://openalex.org/W2584787190","https://openalex.org/W6603406552","https://openalex.org/W6608401799","https://openalex.org/W6631136312","https://openalex.org/W6639721460","https://openalex.org/W6659468905","https://openalex.org/W6679140642","https://openalex.org/W6682457547","https://openalex.org/W6684701178","https://openalex.org/W6719518790"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W2952608057","https://openalex.org/W3171899115","https://openalex.org/W3126266918","https://openalex.org/W2043557177","https://openalex.org/W2349351862"],"abstract_inverted_index":{"This":[0,19],"paper":[1],"presents":[2],"an":[3],"automated":[4],"and":[5,12,30,38,56,63,88,104,125,131],"effective":[6],"method":[7,20,83,120],"for":[8],"detecting":[9,129],"3D":[10],"edges":[11,130],"tracing":[13,74,132],"feature":[14,39,72,76,133],"lines":[15,77,134],"from":[16],"3D-point":[17,136],"clouds.":[18,137],"is":[21,97,140],"named":[22],"Analysis":[23],"of":[24,27,51,110,146],"Geometric":[25],"Properties":[26],"Neighborhoods":[28],"(AGPN),":[29],"it":[31],"includes":[32],"two":[33],"main":[34],"steps:":[35],"edge":[36,44],"detection":[37,45],"line":[40,73],"tracing.":[41],"In":[42,70],"the":[43,71,92,143,147],"step,":[46,75],"AGPN":[47,139],"analyzes":[48],"geometric":[49],"properties":[50],"each":[52],"query":[53],"point\u2019s":[54],"neighborhood,":[55],"then":[57],"combines":[58],"RANdom":[59],"SAmple":[60],"Consensus":[61],"(RANSAC)":[62],"angular":[64],"gap":[65],"metric":[66],"to":[67,142],"detect":[68],"edges.":[69,94],"are":[78],"traced":[79],"by":[80],"a":[81,122],"hybrid":[82],"based":[84],"on":[85,100],"region":[86],"growing":[87],"model":[89],"fitting":[90],"in":[91,128,135],"detected":[93],"Our":[95],"approach":[96],"experimentally":[98],"validated":[99],"complex":[101],"man-made":[102],"objects":[103],"large-scale":[105],"urban":[106],"scenes":[107],"with":[108,114],"millions":[109],"points.":[111],"Comparative":[112],"studies":[113],"state-of-the-art":[115],"methods":[116],"demonstrate":[117],"that":[118],"our":[119],"obtains":[121],"promising,":[123],"reliable,":[124],"high":[126],"performance":[127],"Moreover,":[138],"insensitive":[141],"point":[144],"density":[145],"input":[148],"data.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":6}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2016-09-16T00:00:00"}