{"id":"https://openalex.org/W3198480665","doi":"https://doi.org/10.1109/tgrs.2021.3106764","title":"MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising","display_name":"MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3198480665","doi":"https://doi.org/10.1109/tgrs.2021.3106764","mag":"3198480665"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3106764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3106764","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5089384363","display_name":"Shuaiqi Liu","orcid":"https://orcid.org/0000-0001-7520-8226"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuaiqi Liu","raw_affiliation_strings":["Machine Vision Engineering Research Center of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, China","National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7520-8226","affiliations":[{"raw_affiliation_string":"Machine Vision Engineering Research Center of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077338891","display_name":"Yu Lei","orcid":"https://orcid.org/0000-0003-3392-9441"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Lei","raw_affiliation_strings":["Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0003-3392-9441","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447110","display_name":"Luyao Zhang","orcid":"https://orcid.org/0000-0003-4009-4657"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Zhang","raw_affiliation_strings":["Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109346446","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5888-6735"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5888-6735","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9237-8825","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434437","display_name":"Yudong Zhang","orcid":"https://orcid.org/0000-0002-4870-1493"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu-Dong Zhang","raw_affiliation_strings":["Department of Informatics, University of Leicester, Leicester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4870-1493","affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089384363"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150","https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":5.8254,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.97225678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976999759674072,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9848999977111816,"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":0.7734649181365967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439417839050293},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7140481472015381},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6246826648712158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6100556254386902},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6069852113723755},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5993385910987854},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5709748268127441},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48804226517677307},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.465060293674469},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4156859815120697},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4122641682624817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41113904118537903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35309702157974243},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34872615337371826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.149898499250412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.112418532371521}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7734649181365967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439417839050293},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7140481472015381},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6246826648712158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6100556254386902},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6069852113723755},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5993385910987854},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5709748268127441},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48804226517677307},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.465060293674469},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4156859815120697},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4122641682624817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41113904118537903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35309702157974243},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34872615337371826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.149898499250412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.112418532371521},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3106764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3106764","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2439179964","display_name":null,"funder_award_id":"F2019201151","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G426501771","display_name":null,"funder_award_id":"61401308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4971542969","display_name":null,"funder_award_id":"62172139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5475375730","display_name":null,"funder_award_id":"F2020201025","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G6391550838","display_name":null,"funder_award_id":"F2018210148","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324851","display_name":"Hebei University","ror":"https://ror.org/01p884a79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1912194039","https://openalex.org/W1980038761","https://openalex.org/W1991863442","https://openalex.org/W1998339281","https://openalex.org/W2002788744","https://openalex.org/W2004376198","https://openalex.org/W2005186780","https://openalex.org/W2022187989","https://openalex.org/W2049909233","https://openalex.org/W2056370875","https://openalex.org/W2100495367","https://openalex.org/W2104763670","https://openalex.org/W2116992238","https://openalex.org/W2117294245","https://openalex.org/W2117853853","https://openalex.org/W2123806610","https://openalex.org/W2133665775","https://openalex.org/W2135065661","https://openalex.org/W2136396015","https://openalex.org/W2140483520","https://openalex.org/W2144851790","https://openalex.org/W2343862349","https://openalex.org/W2604403460","https://openalex.org/W2605856982","https://openalex.org/W2613155248","https://openalex.org/W2621042270","https://openalex.org/W2757678917","https://openalex.org/W2762758624","https://openalex.org/W2764207251","https://openalex.org/W2789766190","https://openalex.org/W2892986862","https://openalex.org/W2910628332","https://openalex.org/W2923349434","https://openalex.org/W2929378800","https://openalex.org/W2953618482","https://openalex.org/W2963583038","https://openalex.org/W2964267765","https://openalex.org/W2996027253","https://openalex.org/W3018757597","https://openalex.org/W3035042749","https://openalex.org/W3037578234","https://openalex.org/W3077327398","https://openalex.org/W3090110926","https://openalex.org/W3105425562","https://openalex.org/W3109875750","https://openalex.org/W3112727310","https://openalex.org/W3113142645","https://openalex.org/W3127482406","https://openalex.org/W6631190155","https://openalex.org/W6777046832","https://openalex.org/W6786761521"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR),":[3],"due":[4],"to":[5,40,104,110,158,162,168],"its":[6],"inherent":[7],"characteristics,":[8],"will":[9],"produce":[10],"speckle":[11,25,69],"noise,":[12],"which":[13,165],"results":[14,188],"in":[15,26,149,207],"the":[16,22,33,42,68,73,77,86,98,105,112,119,150,153,173,176,180,187,190],"deterioration":[17],"of":[18,24,76,115,132,175,189],"image":[19,28,36,61,122,178],"quality,":[20],"so":[21],"removal":[23],"SAR":[27,60,116],"is":[29,123,166],"very":[30],"important":[31],"for":[32,59],"subsequent":[34],"high-level":[35],"processing.":[37],"In":[38,79],"order":[39],"balance":[41],"relationship":[43],"between":[44],"denoising":[45,121],"and":[46,96,136,152,171],"texture":[47,74],"preservation,":[48],"we":[49],"propose":[50],"a":[51],"multiscale":[52,90,134],"residual":[53,106,127,137],"dense":[54,107,138,143],"dual":[55,139],"attention":[56,140,155,161],"network":[57,109],"(MRDDANet)":[58],"denoising.":[62],"This":[63],"algorithm":[64],"can":[65,145],"effectively":[66],"suppress":[67],"while":[70],"fully":[71,146],"retaining":[72],"details":[75,174],"image.":[78,117],"MRDDANet,":[80],"shallow":[81,100],"features":[82,101,114,148],"are":[83,102],"extracted":[84,99],"from":[85],"noisy":[87],"images":[88],"by":[89],"modules":[91],"with":[92,184],"different":[93],"kernel":[94],"sizes,":[95],"then,":[97],"mapped":[103],"dual-attention":[108],"obtain":[111],"deep":[113],"Finally,":[118],"final":[120],"generated":[124],"through":[125],"global":[126],"learning.":[128],"MRDDANet":[129,157],"has":[130],"advantages":[131,206],"both":[133],"blocks":[135],"networks.":[141],"The":[142],"connection":[144],"extract":[147],"image,":[151],"dual-channel":[154],"enables":[156],"pay":[159],"more":[160],"noise":[163,170],"information,":[164],"beneficial":[167],"remove":[169],"keep":[172],"original":[177],"at":[179],"same":[181],"time.":[182],"Compared":[183],"state-of-the-art":[185],"algorithms,":[186],"experiment":[191],"indicate":[192],"that":[193],"our":[194],"method":[195],"not":[196],"only":[197],"improves":[198],"various":[199],"objective":[200],"indicators":[201],"but":[202],"also":[203],"shows":[204],"great":[205],"visual":[208],"effects.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}