{"id":"https://openalex.org/W4311375999","doi":"https://doi.org/10.3390/s22249771","title":"Fast Near-Field Frequency-Diverse Computational Imaging Based on End-to-End Deep-Learning Network","display_name":"Fast Near-Field Frequency-Diverse Computational Imaging Based on End-to-End Deep-Learning Network","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4311375999","doi":"https://doi.org/10.3390/s22249771","pmid":"https://pubmed.ncbi.nlm.nih.gov/36560139"},"language":"en","primary_location":{"id":"doi:10.3390/s22249771","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249771","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9771/pdf?version=1670923784","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/24/9771/pdf?version=1670923784","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100637547","display_name":"Zhenhua Wu","orcid":"https://orcid.org/0000-0002-5802-8511"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Wu","raw_affiliation_strings":["East China Research Institute of Electronic Engineering, Hefei 230031, China","Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China"],"raw_orcid":"https://orcid.org/0000-0002-5802-8511","affiliations":[{"raw_affiliation_string":"East China Research Institute of Electronic Engineering, Hefei 230031, China","institution_ids":[]},{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054783255","display_name":"Fafa Zhao","orcid":"https://orcid.org/0000-0002-3820-4119"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fafa Zhao","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China"],"raw_orcid":"https://orcid.org/0000-0002-3820-4119","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353089","display_name":"Man Zhang","orcid":"https://orcid.org/0000-0003-3043-2122"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Man Zhang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051619894","display_name":"Sha Huan","orcid":"https://orcid.org/0000-0002-9883-7508"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Huan","raw_affiliation_strings":["School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":"https://orcid.org/0000-0002-9883-7508","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021830557","display_name":"Xueli Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueli Pan","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344582","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-3720-718X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014803725","display_name":"Lixia Yang","orcid":"https://orcid.org/0000-0002-7943-9846"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixia Yang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100353089"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.1635,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43888998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":"24","first_page":"9771","last_page":"9771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11946","display_name":"Antenna Design and Optimization","score":0.9990000128746033,"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/T10245","display_name":"Metamaterials and Metasurfaces Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7414658069610596},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6186483502388},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5766388177871704},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5690836310386658},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5505104064941406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490310192108154},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5420994758605957},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5205824971199036},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5183285474777222},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48575642704963684},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.432623952627182},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.41331619024276733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4059757590293884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3721216320991516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08906835317611694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414658069610596},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6186483502388},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5766388177871704},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5690836310386658},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5505104064941406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490310192108154},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5420994758605957},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5205824971199036},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5183285474777222},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48575642704963684},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.432623952627182},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.41331619024276733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4059757590293884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3721216320991516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08906835317611694},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22249771","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249771","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9771/pdf?version=1670923784","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36560139","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36560139","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:4888b9e5d93547e68f88018ef48f6650","is_oa":true,"landing_page_url":"https://doaj.org/article/4888b9e5d93547e68f88018ef48f6650","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 24, p 9771 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/24/9771/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22249771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 24; Pages: 9771","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9785258","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9785258","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22249771","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249771","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9771/pdf?version=1670923784","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G152067869","display_name":null,"funder_award_id":"62201007, U21A20457, 62071003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2190943284","display_name":null,"funder_award_id":"2020M681992","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3346560110","display_name":null,"funder_award_id":"No.2020M681992","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3501388292","display_name":null,"funder_award_id":"62201007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4171312338","display_name":null,"funder_award_id":"Nos.61901004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G542409138","display_name":null,"funder_award_id":"U21A20457","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7002208007","display_name":"\u7535\u79bb\u5c42\u975e\u7ebf\u6027\u7b49\u79bb\u5b50\u4f53\u6270\u52a8\u7684\u7535\u78c1\u6ce2\u4f20\u64ad\u7279\u6027\u53ca\u5176\u6570\u503c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071003","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311375999.pdf","grobid_xml":"https://content.openalex.org/works/W4311375999.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2062131753","https://openalex.org/W2106050534","https://openalex.org/W2112796928","https://openalex.org/W2152537098","https://openalex.org/W2520066256","https://openalex.org/W2574952845","https://openalex.org/W2593966629","https://openalex.org/W2762857704","https://openalex.org/W2792258524","https://openalex.org/W2810566158","https://openalex.org/W2896568470","https://openalex.org/W2904679978","https://openalex.org/W2910968166","https://openalex.org/W2919338369","https://openalex.org/W2921315797","https://openalex.org/W2964231206","https://openalex.org/W2964269625","https://openalex.org/W2980849908","https://openalex.org/W2992450609","https://openalex.org/W3003550232","https://openalex.org/W3017141509","https://openalex.org/W3036320983","https://openalex.org/W3080398103","https://openalex.org/W3101431631","https://openalex.org/W3109769428","https://openalex.org/W3119828279","https://openalex.org/W3127976877","https://openalex.org/W3188497486","https://openalex.org/W4206479630","https://openalex.org/W4211119455","https://openalex.org/W4250955649","https://openalex.org/W6631190155","https://openalex.org/W6666075447","https://openalex.org/W6755190826"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,153],"ability":[1],"to":[2],"sculpt":[3],"complex":[4],"reference":[5],"waves":[6],"and":[7,32,52,69,96,112,125,133,143],"probe":[8],"diverse":[9],"radiation":[10,37,158],"field":[11,38,159],"patterns":[12],"have":[13],"facilitated":[14],"the":[15,27,33,41,59,78,92,118,138,162,165],"rise":[16],"of":[17,36,61,80,109,164],"metasurface":[18],"antennas,":[19],"while":[20],"there":[21],"is":[22],"still":[23],"a":[24,48,62,81,105],"compromise":[25],"between":[26],"required":[28],"wide":[29],"operation":[30,146],"band":[31,148],"non-overlapping":[34],"characteristic":[35],"patterns.":[39],"Specifically,":[40],"current":[42,93],"computational":[43,71,87],"image":[44],"formation":[45],"process":[46],"with":[47,86,91,156],"classic":[49],"matched":[50,94],"filter":[51,95],"other":[53],"sparsity-driven":[54],"algorithms":[55],"would":[56],"inevitably":[57],"face":[58],"challenge":[60],"relatively":[63,106],"confined":[64],"scene":[65,114],"information":[66],"sampling":[67,115],"ratio":[68],"high":[70,107],"complexity.":[72],"In":[73,136],"this":[74],"paper,":[75],"we":[76],"marry":[77],"concepts":[79],"deep":[82],"convolutional":[83],"neural":[84],"network":[85],"imaging":[88],"literature.":[89],"Compared":[90],"compressed":[97],"sensing":[98],"reconstruction":[99,121],"technique,":[100],"our":[101],"proposal":[102],"could":[103],"handle":[104],"correlation":[108],"measurement":[110],"modes":[111],"low":[113],"ratio.":[116],"With":[117],"delicately":[119],"trained":[120],"network,":[122],"point-size":[123],"objects":[124],"more":[126],"complicated":[127],"targets":[128],"can":[129,149],"both":[130],"be":[131,150],"quickly":[132],"accurately":[134],"reconstructed.":[135],"addition,":[137],"unavoidable":[139],"heavy":[140],"computation":[141],"burden":[142],"essential":[144],"large":[145],"frequency":[147],"effectively":[151],"mitigated.":[152],"simulated":[154],"experiments":[155],"measured":[157],"data":[160],"verify":[161],"effectiveness":[163],"proposed":[166],"method.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
