{"id":"https://openalex.org/W4375869470","doi":"https://doi.org/10.1109/icassp49357.2023.10096355","title":"SAR Image Despeckling with Residual-in-Residual Dense Generative Adversarial Network","display_name":"SAR Image Despeckling with Residual-in-Residual Dense Generative Adversarial Network","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869470","doi":"https://doi.org/10.1109/icassp49357.2023.10096355"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5063391988","display_name":"Yunpeng Bai","orcid":"https://orcid.org/0000-0002-6923-672X"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yunpeng Bai","raw_affiliation_strings":["Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102570937","display_name":"Yayuan Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayuan Xiao","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007827893","display_name":"Xuan Hou","orcid":"https://orcid.org/0000-0002-5831-928X"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xuan Hou","raw_affiliation_strings":["Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB","School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB","institution_ids":["https://openalex.org/I16038530"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785617","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7370-1754"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039652471","display_name":"Changjing Shang","orcid":"https://orcid.org/0000-0001-6375-6276"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Changjing Shang","raw_affiliation_strings":["Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036010787","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-9333-4605"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063391988"],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":0.5036,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63882965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9918000102043152,"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/residual","display_name":"Residual","score":0.8856983184814453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.759491503238678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262071967124939},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6812815070152283},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6585015654563904},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.650409996509552},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6061278581619263},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5999592542648315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5326727628707886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4673768877983093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43068578839302063},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4276651442050934},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4168759286403656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2614712715148926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2149350941181183},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08279582858085632}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8856983184814453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.759491503238678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262071967124939},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6812815070152283},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6585015654563904},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.650409996509552},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6061278581619263},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5999592542648315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5326727628707886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4673768877983093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43068578839302063},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4276651442050934},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4168759286403656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2614712715148926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2149350941181183},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08279582858085632},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W1980038761","https://openalex.org/W2004376198","https://openalex.org/W2090563002","https://openalex.org/W2121927366","https://openalex.org/W2144851790","https://openalex.org/W2604403460","https://openalex.org/W2621042270","https://openalex.org/W2739748921","https://openalex.org/W2757678917","https://openalex.org/W2891158090","https://openalex.org/W2946229075","https://openalex.org/W2963446712","https://openalex.org/W2963583038","https://openalex.org/W2967502735","https://openalex.org/W2994512389","https://openalex.org/W3000775737","https://openalex.org/W4304014146","https://openalex.org/W4317548864","https://openalex.org/W6631190155","https://openalex.org/W6741832134","https://openalex.org/W6754405603"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W3217069185","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2055824452"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1,109],"neural":[2],"networks":[3],"have":[4],"delivered":[5],"remarkable":[6],"aptitude":[7],"in":[8,23,145],"performing":[9],"Synthetic":[10],"Aperture":[11],"Radar":[12],"(SAR)":[13],"image":[14,55],"speckle":[15,25,37,56],"removal":[16,26],"tasks.":[17],"Such":[18],"approaches":[19],"are":[20],"nevertheless":[21],"constrained":[22],"balancing":[24],"and":[27,92,113,133,148],"preservation":[28],"of":[29,66,80,89,125],"spatial":[30,60],"information,":[31],"particularly":[32],"with":[33,70,106],"respect":[34],"to":[35,51,76,120,153],"strong":[36],"noise.":[38],"In":[39,101],"this":[40],"paper,":[41],"a":[42,103,107],"novel":[43,140],"residual-in-residual":[44,67,90],"dense":[45,68,93],"generative":[46],"adversarial":[47,115],"network":[48],"is":[49,74,111,118],"proposed":[50],"effectively":[52],"suppress":[53],"SAR":[54,135],"while":[57],"retaining":[58],"rich":[59],"information.":[61],"A":[62],"despeckling":[63],"sub-network":[64,105],"composed":[65],"blocks":[69],"an":[71],"encoder-decoder":[72],"structure":[73,91,110],"devised":[75],"learn":[77],"end-to-end":[78],"mapping":[79],"noisy":[81],"images":[82,136],"onto":[83],"noise-free":[84],"images,":[85],"where":[86],"the":[87,97,114,123,139],"combination":[88],"connection":[94],"significantly":[95],"enhances":[96],"feature":[98],"representation":[99],"capability.":[100],"addition,":[102],"discriminator":[104],"fully":[108],"introduced,":[112],"learning":[116],"strategy":[117],"adopted":[119],"continuously":[121],"refine":[122],"quality":[124],"despeckled":[126],"results.":[127],"Systematic":[128],"experimental":[129],"results":[130],"on":[131],"simulated":[132],"real":[134],"demonstrate":[137],"that":[138],"approach":[141],"offers":[142],"superior":[143],"performance":[144],"both":[146],"quantitative":[147],"visual":[149],"evaluation":[150],"as":[151],"compared":[152],"state-of-the-art":[154],"methods.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}