{"id":"https://openalex.org/W4402260377","doi":"https://doi.org/10.1109/igarss53475.2024.10640839","title":"Automotive MIMO SAR Image Fusion Using Tensor Decomposition","display_name":"Automotive MIMO SAR Image Fusion Using Tensor Decomposition","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260377","doi":"https://doi.org/10.1109/igarss53475.2024.10640839"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640839","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5060329335","display_name":"Bangjie Zhang","orcid":"https://orcid.org/0009-0005-0399-8755"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4391768253","display_name":"State Key Laboratory of Millimeter Waves","ror":"https://ror.org/02q1v5910","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768253","https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangjie Zhang","raw_affiliation_strings":["Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4391768253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087493208","display_name":"Gang Xu","orcid":"https://orcid.org/0000-0001-9875-051X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4391768253","display_name":"State Key Laboratory of Millimeter Waves","ror":"https://ror.org/02q1v5910","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768253","https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xu","raw_affiliation_strings":["Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4391768253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002031928","display_name":"Fangzheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4391768253","display_name":"State Key Laboratory of Millimeter Waves","ror":"https://ror.org/02q1v5910","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768253","https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzheng Xu","raw_affiliation_strings":["Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4391768253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058717920","display_name":"Lizhong Jiang","orcid":"https://orcid.org/0000-0002-2950-9973"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhong Jiang","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370996","display_name":"Wei Hong","orcid":"https://orcid.org/0000-0003-3478-2744"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I4391768253","display_name":"State Key Laboratory of Millimeter Waves","ror":"https://ror.org/02q1v5910","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768253","https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hong","raw_affiliation_strings":["Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4391768253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060329335"],"corresponding_institution_ids":["https://openalex.org/I4391768253","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14114833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3519","last_page":"3523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9868000149726868,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.629088819026947},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5896905064582825},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.539280116558075},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.518661618232727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.504761815071106},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4920172393321991},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4502149224281311},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44088369607925415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42050036787986755},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.41775691509246826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39643412828445435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2145739197731018},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15385925769805908},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.11175781488418579},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09505957365036011},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.0766899585723877},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06566557288169861}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.629088819026947},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5896905064582825},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.539280116558075},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.518661618232727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.504761815071106},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4920172393321991},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4502149224281311},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44088369607925415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42050036787986755},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.41775691509246826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39643412828445435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2145739197731018},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15385925769805908},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11175781488418579},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09505957365036011},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.0766899585723877},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06566557288169861},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640839","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2048695508","https://openalex.org/W2119412403","https://openalex.org/W2784516553","https://openalex.org/W3099868519","https://openalex.org/W4296437776","https://openalex.org/W4312890534","https://openalex.org/W4313186827","https://openalex.org/W4320918897","https://openalex.org/W4385574900"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Automotive":[0],"synthetic":[1],"aperture":[2,9],"radar":[3,16,117],"(SAR)":[4],"that":[5],"can":[6],"achieve":[7],"long":[8],"by":[10,15],"coherently":[11],"processing":[12],"chirps":[13],"collected":[14],"mounted":[17],"on":[18],"moving":[19],"vehicle":[20],"platform":[21],"shows":[22],"remarkable":[23],"superiority":[24],"in":[25],"terms":[26],"of":[27,88,104],"angular/azimuth":[28],"resolution.":[29],"To":[30],"further":[31],"enhance":[32,100],"imaging":[33,123],"performance,":[34],"MIMO":[35,56,72,105,116,139],"technology":[36],"has":[37],"been":[38],"combined":[39],"with":[40],"SAR":[41,57,73,106,137],"for":[42],"extended":[43],"signal-to-noise":[44],"ratio":[45],"(SNR),":[46],"side-lobe":[47],"level":[48],"and":[49,97,138],"etc.":[50],"In":[51,66],"this":[52],"paper,":[53],"an":[54,114],"automotive":[55,115],"image":[58,74,102],"fusion":[59],"algorithm":[60,129],"using":[61,110,126],"tensor":[62,93],"decomposition":[63],"is":[64,82,95],"proposed.":[65],"the":[67,69,85,91,101,127],"scheme,":[68],"redundancy":[70],"between":[71,80],"stacks":[75],"after":[76],"compensating":[77],"phase":[78],"difference":[79],"channels":[81],"modeled":[83],"as":[84],"low-rank":[86,92],"property":[87],"tensor.":[89],"Then,":[90],"representation":[94],"verified":[96],"adopted":[98],"to":[99,134],"quality":[103],"imaging.":[107],"Numerical":[108],"experiments":[109],"measured":[111],"data":[112],"from":[113],"system":[118],"are":[119],"carried":[120],"out.":[121],"The":[122],"results":[124],"obtained":[125],"proposed":[128],"show":[130],"significant":[131],"improvement":[132],"compared":[133],"single":[135],"channel":[136],"digital":[140],"beamforming":[141],"(DBF)":[142],"results.":[143]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}