{"id":"https://openalex.org/W4308235641","doi":"https://doi.org/10.1109/icip46576.2022.9897999","title":"SAR Image Super-Resolution Reconstruction Based on Full-Resolution Discrimination","display_name":"SAR Image Super-Resolution Reconstruction Based on Full-Resolution Discrimination","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235641","doi":"https://doi.org/10.1109/icip46576.2022.9897999"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897999","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5002820037","display_name":"Guangyi Xiao","orcid":"https://orcid.org/0000-0003-0625-0804"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyi Xiao","raw_affiliation_strings":["Hefei University of Technology,School of Computer and Information,Hefei,China,230009","Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,School of Computer and Information,Hefei,China,230009","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363496","display_name":"Long Zhang","orcid":"https://orcid.org/0000-0001-7877-7993"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhang","raw_affiliation_strings":["Hefei University of Technology,School of Computer and Information,Hefei,China,230009","Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,School of Computer and Information,Hefei,China,230009","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002820037"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10487666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"691","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9805999994277954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7890775203704834},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7396270632743835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.695417046546936},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6424550414085388},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6358871459960938},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6249915957450867},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5540878176689148},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5224475264549255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5159074068069458},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47739070653915405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4643348455429077},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4514434039592743},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.43802446126937866},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24390947818756104},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.05940142273902893}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7890775203704834},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7396270632743835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695417046546936},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6424550414085388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6358871459960938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6249915957450867},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5540878176689148},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5224475264549255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5159074068069458},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47739070653915405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4643348455429077},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4514434039592743},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.43802446126937866},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24390947818756104},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.05940142273902893},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897999","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2097074225","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2891158090","https://openalex.org/W2895240252","https://openalex.org/W2895598217","https://openalex.org/W2904629716","https://openalex.org/W2912215141","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2985981469","https://openalex.org/W2986381119","https://openalex.org/W2986567149","https://openalex.org/W3034247386","https://openalex.org/W3171125843","https://openalex.org/W3175086476","https://openalex.org/W3207918547","https://openalex.org/W4320013936","https://openalex.org/W6752378368","https://openalex.org/W6752483423"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2008518276","https://openalex.org/W2152662390","https://openalex.org/W2537408670"],"abstract_inverted_index":{"In":[0,58],"image":[1,49],"super-resolution":[2,50,127],"reconstruction":[3,26,51],"based":[4,53],"on":[5,54,110],"generative":[6],"adversarial":[7],"networks":[8],"(GANs),":[9],"the":[10,25,35,39,59,62,70,85,90,98,102,118,125,131,135],"discrimination":[11,56],"of":[12,38,104,134],"high-resolution":[13],"(HR)":[14],"images":[15,23,94,115],"enriches":[16],"texture":[17,36,132],"details.":[18],"However,":[19],"solely":[20],"discriminating":[21,29],"HR":[22,41,136],"limits":[24],"quality,":[27],"while":[28],"other":[30],"resolution":[31],"features":[32],"can":[33],"improve":[34],"structures":[37,133],"reconstructed":[40],"images.":[42,138],"Therefore,":[43],"this":[44],"paper":[45],"proposes":[46],"a":[47,81],"SAR":[48,137],"algorithm":[52,121],"full-resolution":[55,63,82,86],"(FRD).":[57],"suggested":[60],"architecture,":[61],"discriminator":[64],"network":[65],"is":[66,95],"used":[67],"to":[68,97],"extract":[69],"high,":[71],"medium,":[72],"and":[73,92],"low-resolution":[74],"features,":[75],"which":[76,100],"are":[77],"then":[78],"fused":[79],"into":[80],"feature.":[83],"Finally,":[84],"feature":[87,106],"difference":[88],"between":[89],"authentic":[91],"fake":[93],"input":[96],"generator,":[99],"reduces":[101],"inaccuracy":[103],"single-resolution":[105],"discrimination.":[107],"Experimental":[108],"results":[109],"synthetic":[111],"aperture":[112],"radar":[113],"(SAR)":[114],"demonstrate":[116],"that":[117],"proposed":[119],"FRD":[120],"performs":[122],"better":[123],"than":[124],"state-of-the-art":[126],"algorithms":[128],"in":[129],"reconstructing":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}