{"id":"https://openalex.org/W3012243645","doi":"https://doi.org/10.1109/access.2020.2979786","title":"An Efficient CNN to Realize Speckle Correlation Imaging Based on Cloud-Edge for Cyber-Physical-Social-System","display_name":"An Efficient CNN to Realize Speckle Correlation Imaging Based on Cloud-Edge for Cyber-Physical-Social-System","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012243645","doi":"https://doi.org/10.1109/access.2020.2979786","mag":"3012243645"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2979786","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979786","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031329.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031329.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009732907","display_name":"Linli Xu","orcid":"https://orcid.org/0000-0003-0227-3793"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linli Xu","raw_affiliation_strings":["Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069014785","display_name":"Jing Han","orcid":"https://orcid.org/0000-0002-1033-566X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Han","raw_affiliation_strings":["Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1033-566X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101444595","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8633-5001"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088765569","display_name":"Lianfa Bai","orcid":"https://orcid.org/0000-0002-6688-4529"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianfa Bai","raw_affiliation_strings":["Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6688-4529","affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2167,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.35767327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"54154","last_page":"54163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9965000152587891,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7947595119476318},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.7812962532043457},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6643489599227905},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.6166265606880188},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.593660831451416},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.57228022813797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557846426963806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4863046109676361},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4135516285896301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07524669170379639}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947595119476318},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.7812962532043457},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6643489599227905},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.6166265606880188},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.593660831451416},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.57228022813797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557846426963806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4863046109676361},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4135516285896301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07524669170379639},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2979786","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979786","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031329.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:59368cdbc91d42579d030fb42db0475c","is_oa":true,"landing_page_url":"https://doaj.org/article/59368cdbc91d42579d030fb42db0475c","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":"IEEE Access, Vol 8, Pp 54154-54163 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2979786","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979786","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031329.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G5809091928","display_name":null,"funder_award_id":"61727802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G674628551","display_name":"\u9ad8\u7075\u654f\u5927\u89c6\u573a\u7f16\u7801\u6563\u6591\u76f8\u5173\u6210\u50cf\u611f\u77e5\u673a\u7406\u7814\u7a76","funder_award_id":"61971227","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3012243645.pdf","grobid_xml":"https://content.openalex.org/works/W3012243645.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W137864573","https://openalex.org/W1970850819","https://openalex.org/W2000443157","https://openalex.org/W2007593159","https://openalex.org/W2019236124","https://openalex.org/W2067203318","https://openalex.org/W2428993818","https://openalex.org/W2436863189","https://openalex.org/W2614949728","https://openalex.org/W2736397792","https://openalex.org/W2762439315","https://openalex.org/W2767247349","https://openalex.org/W2770198223","https://openalex.org/W2808192168","https://openalex.org/W2811127950","https://openalex.org/W2883163033","https://openalex.org/W2903410716","https://openalex.org/W2914492849","https://openalex.org/W2946751304","https://openalex.org/W2954537798","https://openalex.org/W2963698847","https://openalex.org/W2968554659","https://openalex.org/W2979740536","https://openalex.org/W2990910890","https://openalex.org/W2995975607","https://openalex.org/W2996510349","https://openalex.org/W3001393655","https://openalex.org/W3010956862","https://openalex.org/W3100420029","https://openalex.org/W3102127550","https://openalex.org/W3103344903","https://openalex.org/W4231937966","https://openalex.org/W4320013936","https://openalex.org/W6752556356","https://openalex.org/W6753288595","https://openalex.org/W6772049009","https://openalex.org/W6772549949"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W4327779705","https://openalex.org/W4310560702","https://openalex.org/W1513698804","https://openalex.org/W2029712093"],"abstract_inverted_index":{"Imaging":[0],"research":[1],"on":[2,86,125],"complex":[3,68],"samples":[4,69,192],"going":[5],"through":[6,39,155],"random":[7],"scattering":[8,41,64,156],"medias":[9],"is":[10,101,193],"a":[11,81,102,143,180,190,202],"very":[12],"difficult":[13],"challenge":[14],"in":[15],"the":[16,22,28,47,51,60,63,95,160,176,197],"field":[17,29],"of":[18,30,37,46,62,83,168],"computational":[19],"optics.":[20],"With":[21],"deep":[23,75],"learning":[24,76],"methods":[25,78],"applying":[26],"to":[27,59,72,105,119,151,174],"speckle":[31,121,177],"correlation":[32],"image":[33,122,134,153,178],"reconstruction,":[34],"many":[35],"problems":[36],"imaging":[38,52],"strong":[40],"media":[42,48],"and":[43,67,98,108],"small":[44,191],"perturbations":[45],"which":[49,130],"reduces":[50],"performance":[53],"have":[54],"been":[55],"resolved.":[56],"However,":[57],"due":[58],"randomness":[61],"medium,":[65],"large":[66],"are":[70],"required":[71],"be":[73],"trained,":[74],"based":[77,124],"alway":[79],"occupy":[80],"lot":[82],"energy":[84],"consumption":[85],"Graphic":[87],"Processing":[88],"Unit":[89],"(GPU).":[90],"Cyber-Physical-Social":[91],"Systems":[92],"(CPSS)":[93],"integrating":[94],"cyber,":[96],"physical,":[97],"social":[99],"worlds":[100],"key":[103],"technology":[104],"provide":[106],"proactive":[107],"personalized":[109],"services":[110],"for":[111,128,195],"humans.":[112],"This":[113],"paper":[114],"proposes":[115],"an":[116],"efficient":[117],"CNN":[118],"do":[120,152],"reconstruction":[123,154],"cloud-edge":[126],"computing":[127],"CPSS,":[129],"can":[131,200],"achieve":[132],"higher":[133],"resolution":[135,182],"by":[136],"less":[137],"inputs.In":[138],"this":[139,172],"work,":[140],"we":[141,170],"design":[142],"self-back":[144],"stacked":[145],"Efficient":[146],"Residual":[147],"Factorized":[148],"Network":[149],"(SBS-ERFNet)":[150],"medium.":[157],"Different":[158],"from":[159,179],"traditional":[161],"ERFNets,":[162],"our":[163],"framework":[164],"includes":[165],"two":[166],"stages":[167],"training,":[169,196],"use":[171],"model":[173],"study":[175],"low-to-high":[181],"manner.":[183],"The":[184],"experiments":[185],"show":[186],"that":[187],"even":[188],"if":[189],"input":[194],"test":[198],"results":[199],"reach":[201],"high":[203],"resolution.":[204]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}