{"id":"https://openalex.org/W2617426686","doi":"https://doi.org/10.1007/978-3-319-59876-5_64","title":"Segmentation of LiDAR Intensity Using CNN Feature Based on Weighted Voting","display_name":"Segmentation of LiDAR Intensity Using CNN Feature Based on Weighted Voting","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2617426686","doi":"https://doi.org/10.1007/978-3-319-59876-5_64","mag":"2617426686"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-59876-5_64","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-59876-5_64","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5080775486","display_name":"Masaki Umemura","orcid":null},"institutions":[{"id":"https://openalex.org/I96636082","display_name":"Meijo University","ror":"https://ror.org/04h42fc75","country_code":"JP","type":"education","lineage":["https://openalex.org/I96636082"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Umemura","raw_affiliation_strings":["Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I96636082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103163418","display_name":"Kazuhiro Hotta","orcid":"https://orcid.org/0000-0002-5675-8713"},"institutions":[{"id":"https://openalex.org/I96636082","display_name":"Meijo University","ror":"https://ror.org/04h42fc75","country_code":"JP","type":"education","lineage":["https://openalex.org/I96636082"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Hotta","raw_affiliation_strings":["Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I96636082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108546979","display_name":"Hideki Nonaka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hideki Nonaka","raw_affiliation_strings":["Asia Air Survey Co., Ltd., 1-2-2 Manpukuji, Asao-ku, Kawasaki, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia Air Survey Co., Ltd., 1-2-2 Manpukuji, Asao-ku, Kawasaki, Kanagawa, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109342074","display_name":"Kazuo Oda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuo Oda","raw_affiliation_strings":["Asia Air Survey Co., Ltd., 1-2-2 Manpukuji, Asao-ku, Kawasaki, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia Air Survey Co., Ltd., 1-2-2 Manpukuji, Asao-ku, Kawasaki, Kanagawa, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"578","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8170995712280273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7069457173347473},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6955666542053223},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6619073152542114},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6062794923782349},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5627104043960571},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5356438159942627},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.5225065350532532},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5180740356445312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.510349690914154},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45735540986061096},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42255282402038574},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.42144113779067993},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4012414216995239},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.22926414012908936},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08579659461975098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170995712280273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7069457173347473},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6955666542053223},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6619073152542114},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6062794923782349},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5627104043960571},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5356438159942627},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.5225065350532532},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5180740356445312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.510349690914154},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45735540986061096},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42255282402038574},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.42144113779067993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4012414216995239},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22926414012908936},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08579659461975098},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-59876-5_64","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-59876-5_64","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1507506748","https://openalex.org/W1542723449","https://openalex.org/W1903029394","https://openalex.org/W1970424853","https://openalex.org/W1971988529","https://openalex.org/W2088863228","https://openalex.org/W2155893237","https://openalex.org/W2183182206","https://openalex.org/W2418491949","https://openalex.org/W4253933433","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2008876309","https://openalex.org/W2010932316","https://openalex.org/W1497951756","https://openalex.org/W2069544111","https://openalex.org/W2052960815","https://openalex.org/W4297849332","https://openalex.org/W2069633578","https://openalex.org/W3123813590","https://openalex.org/W3123414640","https://openalex.org/W3123839196"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}