{"id":"https://openalex.org/W4399257626","doi":"https://doi.org/10.1145/3653781.3653817","title":"A High Precision Reconstruction Method of Point Cloud for Three-dimensional Radar Imaging","display_name":"A High Precision Reconstruction Method of Point Cloud for Three-dimensional Radar Imaging","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4399257626","doi":"https://doi.org/10.1145/3653781.3653817"},"language":"en","primary_location":{"id":"doi:10.1145/3653781.3653817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","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/A5052103169","display_name":"Yifei Hu","orcid":"https://orcid.org/0009-0000-6673-1410"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Hu","raw_affiliation_strings":["School of Information and Communication Engineering University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0000-6673-1410","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114804071","display_name":"Jiahui Li","orcid":"https://orcid.org/0009-0005-0722-970X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Li","raw_affiliation_strings":["School of Information and Communication Engineering University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0005-0722-970X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080246113","display_name":"Shunjun Wei","orcid":"https://orcid.org/0000-0001-8091-9540"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjun Wei","raw_affiliation_strings":["School of Information and Communication Engineering University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-8091-9540","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074530023","display_name":"Mou Wang","orcid":"https://orcid.org/0000-0003-3462-3989"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mou Wang","raw_affiliation_strings":["School of Information and Communication Engineering University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0003-3462-3989","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052103169"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07309607,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9970999956130981,"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":0.9970999956130981,"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":0.996399998664856,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7937188744544983},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7255487442016602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6989821791648865},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6882210969924927},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.6572552919387817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5780676603317261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5732725262641907},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5481836199760437},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4730353057384491},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4633764326572418},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4392314553260803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2982328534126282},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14606225490570068},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09745228290557861}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7937188744544983},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7255487442016602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6989821791648865},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6882210969924927},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.6572552919387817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5780676603317261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5732725262641907},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5481836199760437},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4730353057384491},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4633764326572418},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4392314553260803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2982328534126282},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14606225490570068},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09745228290557861},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653781.3653817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2114361744","https://openalex.org/W2320569841","https://openalex.org/W2796426482","https://openalex.org/W2886499109","https://openalex.org/W2889895098","https://openalex.org/W2963390820","https://openalex.org/W2963680153","https://openalex.org/W2963926543","https://openalex.org/W2997337685","https://openalex.org/W3086812408","https://openalex.org/W3111982977","https://openalex.org/W3163282598","https://openalex.org/W3184736166","https://openalex.org/W4221162434","https://openalex.org/W4236965008","https://openalex.org/W4250955649","https://openalex.org/W4295308136","https://openalex.org/W4307339700","https://openalex.org/W7030498141"],"related_works":["https://openalex.org/W3090782779","https://openalex.org/W4251527294","https://openalex.org/W2369061952","https://openalex.org/W2367122702","https://openalex.org/W1601492201","https://openalex.org/W2132989621","https://openalex.org/W2383495548","https://openalex.org/W2370645350","https://openalex.org/W2015447694","https://openalex.org/W1969590113"],"abstract_inverted_index":{"High-resolution":[0],"3D":[1,7,141],"radar":[2,52,70,122,142],"imaging":[3,69,143],"technology":[4],"provides":[5],"rich":[6],"information":[8],"on":[9],"detection":[10,48],"targets":[11],"in":[12,51,83,150],"all":[13],"weather":[14],"conditions,":[15],"but":[16],"compared":[17,170],"with":[18,171],"optical":[19],"or":[20],"laser":[21],"sensors,":[22],"it":[23],"is":[24,71,94,114],"limited":[25],"by":[26,73,168],"the":[27,33,89,98,110,118,128,157],"electromagnetic":[28],"scattering":[29],"mechanism":[30],"and":[31,40,49,78,101,145,177],"has":[32],"problems":[34],"of":[35,121,162],"sparse":[36],"target":[37,47,107],"point":[38,53,123,130,146,158],"clouds":[39],"incomplete":[41],"contours,":[42],"which":[43],"are":[44,138],"disadvantageous":[45],"for":[46,68,140],"identification":[50],"clouds.":[54],"To":[55],"address":[56],"this":[57,84,87,151,163],"problem,":[58],"a":[59],"Graphical":[60],"Convolutional":[61],"Radar":[62],"Point":[63],"Cloud":[64],"Reconstruction":[65],"Network":[66],"(GCPRN)":[67],"proposed":[72],"combining":[74],"snowflake":[75,111],"deconvolution":[76,112],"network":[77,113],"dynamic":[79,90],"graphical":[80],"convolution":[81,92],"algorithm":[82,93],"paper.":[85,152],"In":[86],"paper,":[88],"graph":[91],"used":[95,139],"to":[96,104,116,126],"improve":[97],"feature":[99],"extraction":[100],"inference":[102],"ability":[103],"obtain":[105],"accurate":[106],"contour":[108],"information;":[109],"designed":[115],"construct":[117],"backbone":[119],"framework":[120],"cloud":[124,131,147,159],"reconstruction":[125,160],"realize":[127],"refined":[129],"reconstruction.":[132],"Finally,":[133],"20":[134],"airborne":[135],"aircraft":[136],"models":[137],"simulation":[144],"dataset":[148],"construction":[149],"The":[153],"results":[154],"show":[155],"that":[156],"accuracy":[161],"paper":[164],"can":[165],"be":[166],"improved":[167],"36.4%":[169],"existing":[172],"methods":[173],"such":[174],"as":[175],"PU-Net":[176],"MPU.":[178]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}