{"id":"https://openalex.org/W4400486932","doi":"https://doi.org/10.3390/rs16142531","title":"Research on a Matching Method for Vehicle-Borne Laser Point Cloud and Panoramic Images Based on Occlusion Removal","display_name":"Research on a Matching Method for Vehicle-Borne Laser Point Cloud and Panoramic Images Based on Occlusion Removal","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400486932","doi":"https://doi.org/10.3390/rs16142531"},"language":"en","primary_location":{"id":"doi:10.3390/rs16142531","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142531","pdf_url":null,"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://doi.org/10.3390/rs16142531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078357758","display_name":"Jiashu Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashu Ji","raw_affiliation_strings":["QiLu Aerospace Information Research Institute, Jinan 250132, China"],"affiliations":[{"raw_affiliation_string":"QiLu Aerospace Information Research Institute, Jinan 250132, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333118","display_name":"Weiwei Wang","orcid":"https://orcid.org/0000-0001-7194-0057"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Wang","raw_affiliation_strings":["QiLu Aerospace Information Research Institute, Jinan 250132, China"],"affiliations":[{"raw_affiliation_string":"QiLu Aerospace Information Research Institute, Jinan 250132, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088111395","display_name":"Yipeng Ning","orcid":"https://orcid.org/0000-0003-2315-3694"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Ning","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250102, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250102, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109744712","display_name":"Hanwen Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwen Bo","raw_affiliation_strings":["QiLu Aerospace Information Research Institute, Jinan 250132, China"],"affiliations":[{"raw_affiliation_string":"QiLu Aerospace Information Research Institute, Jinan 250132, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114705946","display_name":"Yufei Ren","orcid":"https://orcid.org/0000-0003-3749-8036"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Ren","raw_affiliation_strings":["QiLu Aerospace Information Research Institute, Jinan 250132, China"],"affiliations":[{"raw_affiliation_string":"QiLu Aerospace Information Research Institute, Jinan 250132, China","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100333118"],"corresponding_institution_ids":["https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.808,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68311087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"14","first_page":"2531","last_page":"2531"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9951000213623047,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6920063495635986},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5282278060913086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5144322514533997},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4647687077522278},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44321608543395996},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.4408488869667053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4228420853614807},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4196247458457947},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4164988100528717},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.316817045211792},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18025556206703186},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17346426844596863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08245041966438293},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07107418775558472},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05739074945449829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0477164089679718}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6920063495635986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5282278060913086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5144322514533997},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4647687077522278},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44321608543395996},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.4408488869667053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4228420853614807},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4196247458457947},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4164988100528717},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.316817045211792},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18025556206703186},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17346426844596863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08245041966438293},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07107418775558472},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05739074945449829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0477164089679718},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16142531","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142531","pdf_url":null,"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:8f83174103f74e2ca2c9c6d9a0da53a4","is_oa":true,"landing_page_url":"https://doaj.org/article/8f83174103f74e2ca2c9c6d9a0da53a4","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 14, p 2531 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16142531","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142531","pdf_url":null,"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":[],"awards":[{"id":"https://openalex.org/G5201893192","display_name":null,"funder_award_id":"ZR2021QD058","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6459690494","display_name":null,"funder_award_id":"2021SFGC0401","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G8265575513","display_name":null,"funder_award_id":"42204011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2335639764","https://openalex.org/W2409468279","https://openalex.org/W2436494909","https://openalex.org/W2605505707","https://openalex.org/W2777541999","https://openalex.org/W2963416674","https://openalex.org/W2981244873","https://openalex.org/W3003380561","https://openalex.org/W3080269186","https://openalex.org/W3114961520","https://openalex.org/W3174343571","https://openalex.org/W3175014773","https://openalex.org/W3175392337","https://openalex.org/W3179823724","https://openalex.org/W3204559811","https://openalex.org/W4206259740","https://openalex.org/W4221074024","https://openalex.org/W4249330016","https://openalex.org/W4285290732","https://openalex.org/W4290099025","https://openalex.org/W4308743607","https://openalex.org/W4360770880","https://openalex.org/W4386387731","https://openalex.org/W4390122610","https://openalex.org/W4392467863","https://openalex.org/W4392760893","https://openalex.org/W6846641171"],"related_works":["https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3196715007","https://openalex.org/W4399030596","https://openalex.org/W2366440988","https://openalex.org/W2358582870","https://openalex.org/W4293059742","https://openalex.org/W2082802685"],"abstract_inverted_index":{"Vehicle-borne":[0],"mobile":[1],"mapping":[2],"systems":[3],"(MMSs)":[4],"have":[5],"been":[6],"proven":[7],"as":[8,17,59,119,277],"an":[9,219,228],"efficient":[10,238],"means":[11],"of":[12,77,106,195,223,232,248],"photogrammetry":[13],"and":[14,25,43,66,80,109,135,201,227,251,270,281],"remote":[15],"sensing,":[16],"they":[18],"simultaneously":[19],"acquire":[20],"panoramic":[21,96,112,168,202,249],"images,":[22,97],"point":[23,41,60,67,78,101,130,137,163,185,199,252],"clouds,":[24],"positional":[26,230],"information":[27],"along":[28],"the":[29,74,99,110,129,136,142,157,162,167,183,189,206,213,245],"collection":[30],"route":[31],"from":[32,52],"a":[33,46,88,104,116,123,193],"ground-based":[34],"perspective.":[35],"Obtaining":[36],"accurate":[37],"matching":[38,56,81,92,158,190,196,216],"results":[39,197,217],"between":[40,198],"clouds":[42,79,200,253],"images":[44,113,203,250],"is":[45,154,176,242],"key":[47],"issue":[48],"in":[49,128,258,274],"data":[50,246],"application":[51],"vehicle-borne":[53,117,256],"MMSs.":[54],"Traditional":[55],"methods,":[57],"such":[58,276],"cloud":[61,68,102,131,138,164,186],"projection,":[62],"depth":[63],"map":[64,132],"generation,":[65],"coloring,":[69],"are":[70,133,145],"significantly":[71],"affected":[72],"by":[73],"processing":[75],"methods":[76],"logic.":[82],"In":[83],"this":[84],"study,":[85],"we":[86],"propose":[87],"method":[89,214,241],"for":[90,172,244,263],"generating":[91,192],"relationships":[93],"based":[94,150,266],"on":[95,151,267],"utilizing":[98],"raw":[100],"map,":[103],"series":[105,194],"trajectory":[107,143,207],"points,":[108],"corresponding":[111,140,204],"acquired":[114,254],"using":[115,255],"MMS":[118],"input":[120],"data.":[121],"Through":[122],"point-cloud-processing":[124],"workflow,":[125],"irrelevant":[126],"points":[127,144],"removed,":[134],"scenes":[139,165],"to":[141,160,166,179,205],"extracted.":[146],"A":[147],"collinear":[148],"model":[149],"spherical":[152],"projection":[153],"employed":[155],"during":[156,188],"process":[159],"project":[161],"images.":[169],"An":[170],"algorithm":[171],"vectorial":[173],"angle":[174],"selection":[175],"also":[177],"designed":[178],"address":[180],"filtering":[181],"out":[182],"occluded":[184],"projections":[187],"process,":[191],"points.":[208],"Experimental":[209],"verification":[210],"indicates":[211],"that":[212],"generates":[215],"with":[218],"average":[220,229],"pixel":[221],"error":[222,231],"approximately":[224,233],"2.82":[225],"pixels,":[226],"4":[234],"cm,":[235],"thus":[236],"demonstrating":[237],"processing.":[239],"This":[240],"suitable":[243],"fusion":[247],"MMSs":[257],"road":[259],"scenes,":[260],"provides":[261],"support":[262],"various":[264],"algorithms":[265],"visual":[268],"features,":[269],"has":[271],"promising":[272],"applications":[273],"fields":[275],"navigation,":[278],"positioning,":[279],"surveying,":[280],"mapping.":[282]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
