{"id":"https://openalex.org/W3196865208","doi":"https://doi.org/10.1145/3460426.3463653","title":"Radar Object Detection Using Data Merging, Enhancement and Fusion","display_name":"Radar Object Detection Using Data Merging, Enhancement and Fusion","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3196865208","doi":"https://doi.org/10.1145/3460426.3463653","mag":"3196865208"},"language":"en","primary_location":{"id":"doi:10.1145/3460426.3463653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","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/A5048818071","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0002-3197-8103"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102388299","display_name":"Xinlong Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlong Hao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101420812","display_name":"Xinjian Gao","orcid":"https://orcid.org/0000-0002-9795-5908"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Gao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060567464","display_name":"Qiang Sun","orcid":"https://orcid.org/0000-0002-6484-4531"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Sun","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979565","display_name":"Yuyu Liu","orcid":"https://orcid.org/0009-0005-1541-5000"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyu Liu","raw_affiliation_strings":["Ping An Technology Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040646362","display_name":"Peng Chang","orcid":"https://orcid.org/0000-0003-1439-8315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Chang","raw_affiliation_strings":["PAII Labs, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"PAII Labs, Palo Alto, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350965","display_name":"Zhong Zhang","orcid":"https://orcid.org/0000-0002-2993-8612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong Zhang","raw_affiliation_strings":["Hefei ZhanDa Intelligence Technology Co., Ltd, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei ZhanDa Intelligence Technology Co., Ltd, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037394596","display_name":"Fang Gao","orcid":"https://orcid.org/0000-0003-1226-3011"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Gao","raw_affiliation_strings":["Guangxi University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062793914","display_name":"Feng Shuang","orcid":"https://orcid.org/0000-0002-4733-4732"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Shuang","raw_affiliation_strings":["Guangxi University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5048818071"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64972222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"566","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9976000189781189,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347056269645691},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6358292102813721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5916163325309753},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5860176086425781},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5783076882362366},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5334517955780029},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5064548254013062},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47788870334625244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4590766131877899},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.45046302676200867},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42658308148384094},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41999152302742004},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4189854562282562},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3882429003715515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36233460903167725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35381752252578735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347056269645691},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6358292102813721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5916163325309753},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5860176086425781},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5783076882362366},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5334517955780029},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5064548254013062},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47788870334625244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4590766131877899},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.45046302676200867},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42658308148384094},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41999152302742004},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4189854562282562},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3882429003715515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36233460903167725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35381752252578735},{"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/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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460426.3463653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1914646313","https://openalex.org/W2007864137","https://openalex.org/W2097117768","https://openalex.org/W2115579991","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2560544142","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2891649842","https://openalex.org/W2963120444","https://openalex.org/W2963150697","https://openalex.org/W2963171573","https://openalex.org/W2963299370","https://openalex.org/W2963351448","https://openalex.org/W2963438049","https://openalex.org/W2963667201","https://openalex.org/W2964241181","https://openalex.org/W2994788716","https://openalex.org/W3035481945","https://openalex.org/W3035574168","https://openalex.org/W3090139470","https://openalex.org/W3120815051"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2141609920","https://openalex.org/W4286748465","https://openalex.org/W3118984993","https://openalex.org/W2144336328","https://openalex.org/W3196933554","https://openalex.org/W4294619368","https://openalex.org/W4380558509"],"abstract_inverted_index":{"Compared":[0],"to":[1,9,36,66,86,102,118,129],"visible":[2],"images,":[3],"radar":[4,28,55],"images":[5,56],"are":[6,84,116],"generally":[7],"considered":[8],"be":[10],"an":[11,49,61],"active":[12],"and":[13,44,90,142],"robust":[14],"solution,":[15],"even":[16],"in":[17,73,148],"adverse":[18],"driving":[19],"situations,":[20],"for":[21],"object":[22,29],"detection.":[23],"However,":[24],"the":[25,58,68,74,95,103,120,149,159,162],"accuracy":[26,121],"of":[27,40,97,105,152,161],"detection":[30],"(ROD)":[31],"is":[32,64,110,127,136],"always":[33],"poor.":[34],"Owing":[35],"taking":[37],"full":[38],"advantage":[39],"data":[41,69,88],"merging,":[42],"enhancement":[43],"fusion,":[45],"this":[46,153],"paper":[47],"proposes":[48],"effective":[50],"ROD":[51],"system":[52],"with":[53,81,107],"only":[54],"as":[57],"input.":[59],"First,":[60],"aggregation":[62],"module":[63],"designed":[65],"merge":[67],"from":[70,131],"all":[71],"chirps":[72],"same":[75],"frame.":[76],"Then,":[77],"various":[78],"gaussian":[79],"noises":[80],"different":[82],"parameters":[83,109],"employed":[85],"increase":[87,119],"diversity":[89],"reduce":[91],"over-fitting":[92],"based":[93],"on":[94],"analysis":[96],"training":[98],"data.":[99],"Moreover,":[100],"due":[101],"process":[104],"inference":[106],"default":[108],"not":[111],"accurate":[112],"enough,":[113],"some":[114],"hyperparameters":[115],"changed":[117],"performance.":[122],"Finally,":[123],"a":[124],"combination":[125],"strategy":[126],"adopted":[128],"benefit":[130],"multi-model":[132],"fusion.":[133],"ROD2021":[134],"Challenge":[135],"supported":[137],"by":[138],"ACM":[139],"ICMR":[140],"2021,":[141],"our":[143],"team":[144],"(ustc-nelslip)":[145],"ranked":[146],"2nd":[147],"test":[150],"stage":[151],"challenge.":[154],"Diverse":[155],"evaluations":[156],"also":[157],"verify":[158],"superiority":[160],"proposed":[163],"system.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
