{"id":"https://openalex.org/W2342780154","doi":"https://doi.org/10.1007/978-3-662-49155-3_17","title":"A Decision Tree Classification Method Combining Intensity and RGB Value for LiDAR Data","display_name":"A Decision Tree Classification Method Combining Intensity and RGB Value for LiDAR Data","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2342780154","doi":"https://doi.org/10.1007/978-3-662-49155-3_17","mag":"2342780154"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-49155-3_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-49155-3_17","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-662-49155-3_17","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090390104","display_name":"Piyuan Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134214","display_name":"Beijing Research Institute of Uranium Geology","ror":"https://ror.org/046qx3a23","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210134214"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Piyuan Yi","raw_affiliation_strings":["National Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing Research Institute of Uranium Geology, Beijing, 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing Research Institute of Uranium Geology, Beijing, 100029, China","institution_ids":["https://openalex.org/I4210134214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027250349","display_name":"Tong Peng","orcid":"https://orcid.org/0000-0003-0373-5136"},"institutions":[{"id":"https://openalex.org/I4210134214","display_name":"Beijing Research Institute of Uranium Geology","ror":"https://ror.org/046qx3a23","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210134214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Tong","raw_affiliation_strings":["National Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing Research Institute of Uranium Geology, Beijing, 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing Research Institute of Uranium Geology, Beijing, 100029, China","institution_ids":["https://openalex.org/I4210134214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100930552","display_name":"Yingjun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134214","display_name":"Beijing Research Institute of Uranium Geology","ror":"https://ror.org/046qx3a23","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210134214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjun Zhao","raw_affiliation_strings":["National Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing Research Institute of Uranium Geology, Beijing, 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Remote Sensing Information and Image Analysis Technique, Beijing Research Institute of Uranium Geology, Beijing, 100029, China","institution_ids":["https://openalex.org/I4210134214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090390104"],"corresponding_institution_ids":["https://openalex.org/I4210134214"],"apc_list":null,"apc_paid":null,"fwci":0.6287,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62685069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"189"},"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":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9937999844551086,"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":0.7255540490150452},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7053505182266235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858752965927124},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.674929678440094},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.616848349571228},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5952154994010925},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5512000322341919},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5238866209983826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5087552666664124},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4817197918891907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3519444465637207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33701664209365845},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1972939670085907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18213781714439392},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06677040457725525}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7255540490150452},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7053505182266235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858752965927124},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.674929678440094},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.616848349571228},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5952154994010925},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5512000322341919},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5238866209983826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087552666664124},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4817197918891907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3519444465637207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33701664209365845},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1972939670085907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18213781714439392},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06677040457725525},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-662-49155-3_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-49155-3_17","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-662-49155-3_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-49155-3_17","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W84227776","https://openalex.org/W1974409017","https://openalex.org/W1977428739","https://openalex.org/W1990077509","https://openalex.org/W2002275473","https://openalex.org/W2010062112","https://openalex.org/W2016428929","https://openalex.org/W2029625183","https://openalex.org/W2032413422","https://openalex.org/W2033908379","https://openalex.org/W2035118832","https://openalex.org/W2046736943","https://openalex.org/W2075687558","https://openalex.org/W2077344935","https://openalex.org/W2082401928","https://openalex.org/W2086461898","https://openalex.org/W2086783159","https://openalex.org/W2088863228","https://openalex.org/W2104872621","https://openalex.org/W2134345313","https://openalex.org/W2161930174","https://openalex.org/W2165796970"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W4312958259","https://openalex.org/W2103009189","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W1532075541","https://openalex.org/W2349383066","https://openalex.org/W2594043982","https://openalex.org/W3036493597"],"abstract_inverted_index":{"Airborne":[0],"light":[1],"detection":[2],"and":[3,26,42,45,64],"ranging":[4],"(LiDAR)":[5],"has":[6],"played":[7],"an":[8],"important":[9],"role":[10],"in":[11,97],"obtaining":[12],"spatial":[13],"information.":[14],"But":[15],"most":[16],"existing":[17],"LiDAR":[18],"data":[19],"classification":[20,51,76],"algorithms":[21],"mainly":[22],"based":[23],"on":[24],"elevation":[25],"need":[27],"more":[28],"manual":[29,86],"participation.":[30],"Compared":[31],"to":[32],"these":[33],"algorithms,":[34],"we":[35],"emphasize":[36],"the":[37,57,65,72],"use":[38],"of":[39],"intensity,":[40],"RGB":[41,66],"echo":[43],"number,":[44],"put":[46],"forward":[47],"a":[48],"decision":[49],"tree":[50],"method.":[52],"Before":[53],"using":[54],"this":[55],"method,":[56],"intensity":[58,93],"value":[59],"must":[60],"be":[61,79],"calibrated":[62],"first,":[63],"usually":[67],"assigned":[68],"from":[69],"orthophoto.":[70],"Then":[71],"experiment":[73],"show":[74],"that":[75],"work":[77],"can":[78],"completed":[80],"with":[81],"high":[82],"accuracy":[83],"while":[84],"reducing":[85],"workload.":[87],"In":[88],"addition,":[89],"it":[90],"was":[91],"found":[92],"information":[94],"is":[95],"useful":[96],"target":[98],"detection.":[99]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}