{"id":"https://openalex.org/W4286715844","doi":"https://doi.org/10.1186/s13634-022-00896-x","title":"Three-dimensional SAR imaging with sparse linear array using tensor completion in embedded space","display_name":"Three-dimensional SAR imaging with sparse linear array using tensor completion in embedded space","publication_year":2022,"publication_date":"2022-07-23","ids":{"openalex":"https://openalex.org/W4286715844","doi":"https://doi.org/10.1186/s13634-022-00896-x"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00896-x","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00896-x","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00896-x","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016578388","display_name":"Siqian Zhang","orcid":"https://orcid.org/0000-0001-8108-9278"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siqian Zhang","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, 410073, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352097","display_name":"Ding Ding","orcid":"https://orcid.org/0000-0001-9850-9224"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Ding","raw_affiliation_strings":["Center for Teaching and Research Service, National University of Defense Technology, Changsha, 410073, China"],"affiliations":[{"raw_affiliation_string":"Center for Teaching and Research Service, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074584116","display_name":"Chenxi Zhao","orcid":"https://orcid.org/0000-0001-7166-2755"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Zhao","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, 410073, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004800456","display_name":"Lingjun Zhao","orcid":"https://orcid.org/0000-0001-9210-8729"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjun Zhao","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, 410073, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016578388"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398,"provenance":"doaj"},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398,"provenance":"doaj"},"fwci":0.196,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.304348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":61,"max":71},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor Decompositions and Applications in Multilinear Algebra","score":0.9996,"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 Decompositions and Applications in Multilinear Algebra","score":0.9996,"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/T10500","display_name":"Theory and Applications of Compressed Sensing","score":0.9975,"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/T11038","display_name":"Synthetic Aperture Radar (SAR) Technology and Applications","score":0.9928,"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/sparse-representations","display_name":"Sparse Representations","score":0.591811},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse Approximation","score":0.585006},{"id":"https://openalex.org/keywords/sparse-array","display_name":"Sparse array","score":0.58373225},{"id":"https://openalex.org/keywords/sparsity-in-signal-processing","display_name":"Sparsity in Signal Processing","score":0.57764},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex Optimization","score":0.547017},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor Decomposition","score":0.543869},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.4777395},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.44310945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284813},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6012717},{"id":"https://openalex.org/C145177509","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse array","level":2,"score":0.58373225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49019772},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.4777395},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.46620548},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.44310945},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4196972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3652194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22309327},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.17238376},{"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":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00896-x","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00896-x","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00896-x","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00896-x","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61701508"},{"funder":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province","award_id":"2018JJ3613"}],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1980868405","https://openalex.org/W2001587991","https://openalex.org/W2024165284","https://openalex.org/W2033560557","https://openalex.org/W2063522293","https://openalex.org/W2069374013","https://openalex.org/W2091449379","https://openalex.org/W2101437419","https://openalex.org/W2110628907","https://openalex.org/W2120109624","https://openalex.org/W2151846609","https://openalex.org/W2157109866","https://openalex.org/W2158589846","https://openalex.org/W2321969115","https://openalex.org/W2338875331","https://openalex.org/W2339232531","https://openalex.org/W2775230472","https://openalex.org/W2913935587","https://openalex.org/W2945966242","https://openalex.org/W2962915592","https://openalex.org/W2964146769","https://openalex.org/W2969931780","https://openalex.org/W2981576843","https://openalex.org/W3005852419","https://openalex.org/W3006046651","https://openalex.org/W3020111007","https://openalex.org/W3128423775","https://openalex.org/W3144124189"],"related_works":["https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2388952560","https://openalex.org/W2204991413","https://openalex.org/W2149282631","https://openalex.org/W2099321050","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W2011611369","https://openalex.org/W110819671"],"abstract_inverted_index":{"Abstract":[0],"Due":[1],"to":[2,83,98,126,193,254],"the":[3,28,39,42,46,85,92,99,135,144,148,155,173,199,213,235,248,261,266],"huge":[4,58],"data":[5,11,25,52,102,151],"storage":[6],"and":[7,17,41,57,139,157,208,224,263],"transmission":[8],"pressure,":[9],"sparse":[10,24,29,87,108,249],"collection":[12],"strategy":[13],"has":[14,179],"provided":[15],"opportunities":[16],"challenges":[18],"for":[19,182,198],"3D":[20,51,86,116,128,145,187,240],"SAR":[21],"imaging.":[22],"However,":[23],"brought":[26,106],"by":[27,107,166,220],"linear":[30,109],"array":[31],"will":[32],"produce":[33,127],"high-level":[34],"side-lobes,":[35],"as":[36,38,76,154],"well":[37],"aliasing":[40],"false-alarm":[43],"targets.":[44],"Simultaneously,":[45],"vectorizing":[47],"or":[48,252],"matrixing":[49],"of":[50,137,265],"makes":[53],"high":[54,206],"computational":[55],"complexity":[56],"memory":[59],"usage,":[60],"which":[61,259],"is":[62,81,124,152,218,257],"not":[63],"practicable":[64],"in":[65,121,143],"real":[66,229],"applications.":[67],"To":[68],"deal":[69],"with":[70,103,130,176,212,242],"these":[71],"problems,":[72],"tensor":[73,101,150,165],"completion":[74],"(TC),":[75],"a":[77,114,160],"convex":[78],"optimization":[79],"problem,":[80],"used":[82],"solve":[84],"imaging":[88,117,188,196],"problem":[89],"efficiently.":[90],"Unfortunately,":[91],"traditional":[93,186,214],"TC":[94,120],"methods":[95,189],"are":[96],"invalid":[97],"incomplete":[100,149,163],"missing":[104],"slices":[105],"arrays.":[110],"In":[111],"this":[112],"paper,":[113],"novel":[115],"algorithm":[118],"using":[119],"embedded":[122],"space":[123],"proposed":[125,203,236,267],"images":[129,241],"efficient":[131],"side-lobes":[132,210],"suppression.":[133],"With":[134],"help":[136],"sparsity":[138],"low-rank":[140],"property":[141],"hidden":[142],"radar":[146],"signal,":[147],"taken":[153],"input":[156],"converted":[158],"into":[159],"higher":[161],"order":[162],"Hankel":[164],"multiway":[167],"delay":[168],"embedding":[169],"transform":[170],"(MDT).":[171],"Then,":[172],"tucker":[174],"decomposition":[175],"incremental":[177],"rank":[178],"been":[180],"applied":[181],"completion.":[183],"Subsequently,":[184],"any":[185],"can":[190,238],"be":[191],"employed":[192],"obtain":[194],"excellent":[195],"performance":[197],"completed":[200],"tensor.":[201],"The":[202],"method":[204,237],"achieves":[205],"resolution":[207],"low-level":[209],"compared":[211],"TC-based":[215],"methods.":[216],"It":[217],"verified":[219],"several":[221],"numerical":[222],"simulations":[223],"multiple":[225],"comparative":[226],"studies":[227],"on":[228],"data.":[230],"Results":[231],"clearly":[232],"demonstrate":[233],"that":[234],"generate":[239],"small":[243],"reconstruction":[244],"error":[245],"even":[246],"when":[247],"sampling":[250],"rate":[251],"signal":[253],"noise":[255],"ratio":[256],"low,":[258],"confirms":[260],"validity":[262],"advantage":[264],"method.":[268]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4286715844","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-11-26T23:09:44.759164","created_date":"2022-07-23"}