{"id":"https://openalex.org/W4367663120","doi":"https://doi.org/10.1109/tgrs.2023.3271998","title":"Residual in Residual Scaling Networks for Polarimetric SAR Image Despeckling","display_name":"Residual in Residual Scaling Networks for Polarimetric SAR Image Despeckling","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367663120","doi":"https://doi.org/10.1109/tgrs.2023.3271998"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3271998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3271998","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/A5100616522","display_name":"Huiping Lin","orcid":"https://orcid.org/0000-0002-6393-0665"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiping Lin","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education (MoE), Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6393-0665","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060270096","display_name":"Kan Jin","orcid":"https://orcid.org/0000-0002-6549-7690"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Jin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014221630","display_name":"Junjun Yin","orcid":"https://orcid.org/0000-0002-0901-0577"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Yin","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0901-0577","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110818289","display_name":"Jian Yang","orcid":"https://orcid.org/0009-0008-6493-014X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375832","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-7192-5153"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7192-5153","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071461704","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0002-7015-1467"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education (MoE), Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7015-1467","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015791511","display_name":"Ya\u2010Qiu Jin","orcid":"https://orcid.org/0000-0001-6666-9151"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya-Qiu Jin","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education (MoE), Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6666-9151","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Ministry of Education (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1333,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89343184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9983999729156494,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9945999979972839,"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/residual","display_name":"Residual","score":0.759558916091919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335166931152344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6528939604759216},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5561931133270264},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5172208547592163},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5153093338012695},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.46907752752304077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46197429299354553},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4612312316894531},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4605172872543335},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.451452374458313},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4425720274448395},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.440067857503891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43002042174339294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30872708559036255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2760849595069885}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.759558916091919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335166931152344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6528939604759216},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5561931133270264},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5172208547592163},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5153093338012695},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46907752752304077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46197429299354553},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4612312316894531},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4605172872543335},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.451452374458313},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4425720274448395},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.440067857503891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43002042174339294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30872708559036255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2760849595069885},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3271998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3271998","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":0.6899999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5069261427","display_name":null,"funder_award_id":"61991422","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1480428847","https://openalex.org/W1602107991","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1978407375","https://openalex.org/W1981489936","https://openalex.org/W2004376198","https://openalex.org/W2037095848","https://openalex.org/W2056370875","https://openalex.org/W2074319623","https://openalex.org/W2077282160","https://openalex.org/W2078985447","https://openalex.org/W2104763670","https://openalex.org/W2115492038","https://openalex.org/W2117009774","https://openalex.org/W2121348175","https://openalex.org/W2122152426","https://openalex.org/W2126413832","https://openalex.org/W2130762895","https://openalex.org/W2133487662","https://openalex.org/W2136396015","https://openalex.org/W2144851790","https://openalex.org/W2161357997","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2316208860","https://openalex.org/W2329184523","https://openalex.org/W2548712274","https://openalex.org/W2604403460","https://openalex.org/W2739815012","https://openalex.org/W2740879832","https://openalex.org/W2756479957","https://openalex.org/W2774929658","https://openalex.org/W2824247663","https://openalex.org/W2866634454","https://openalex.org/W2903766913","https://openalex.org/W2910103652","https://openalex.org/W2951856666","https://openalex.org/W2962943467","https://openalex.org/W2963321118","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963583038","https://openalex.org/W2964101377","https://openalex.org/W2964350391","https://openalex.org/W2979577547","https://openalex.org/W2987448788","https://openalex.org/W2988553273","https://openalex.org/W3035042749","https://openalex.org/W3105425562","https://openalex.org/W3112727310","https://openalex.org/W3113142645","https://openalex.org/W3146554236","https://openalex.org/W3157976884","https://openalex.org/W3158709967","https://openalex.org/W3211474784","https://openalex.org/W3213277431","https://openalex.org/W4213370452","https://openalex.org/W4237764598","https://openalex.org/W4248431698","https://openalex.org/W6628762394","https://openalex.org/W6637373629","https://openalex.org/W6684191040"],"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/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"Speckle":[0],"reduction":[1],"is":[2,72,95],"a":[3,18,89,116,126],"longstanding":[4],"topic":[5],"for":[6,25,171],"polarimetric":[7,244],"synthetic":[8],"aperture":[9],"radar":[10],"(PolSAR)":[11],"images.":[12,210],"In":[13],"this":[14,64],"paper,":[15],"we":[16,114],"propose":[17],"novel":[19],"end-to-end":[20],"PolSAR":[21],"image":[22,50,109,132,137,152,194],"despeckling":[23],"framework":[24],"the":[26,31,39,44,46,59,76,100,160,163,167,176,179,184,189,198,215,231,234,243,249],"first":[27],"time,":[28],"which":[29],"predicts":[30],"weight":[32],"matrices":[33],"of":[34,38,78,92,162,169,178],"neighboring":[35],"pixels":[36,177],"instead":[37],"target":[40],"pixel":[41],"itself":[42],"nor":[43,45],"noise,":[47],"to":[48,121,130,149,188],"achieve":[49],"despeckling.":[51],"It":[52],"hardly":[53],"relies":[54],"on":[55,58,105,151,204],"any":[56],"assumptions":[57],"speckle":[60,221],"noise":[61,106,123,191,222],"distribution.":[62],"Within":[63],"framework,":[65],"residual":[66,68,79,82],"in":[67,112],"scaling":[69],"network":[70,86,101,118,185],"(RIRSN)":[71],"developed":[73],"by":[74,98],"combining":[75],"advantages":[77],"connections":[80],"and":[81,108,125,135,144,157,174,181,193,208,233,240,242],"scaling.":[83],"To":[84],"reduce":[85,220],"redundancy":[87],"further,":[88],"dynamic":[90],"version":[91],"RIRSN":[93,170],"(DRIRSN)":[94],"also":[96],"proposed":[97,142,199,216],"adjusting":[99],"structure":[102,186],"dynamically":[103,182],"based":[104],"level":[107,134,192],"content.":[110,195],"Specifically,":[111],"DRIRSN,":[113],"introduce":[115],"lightweight":[117],"called":[119],"picture2vector":[120,143],"estimate":[122,131],"level,":[124],"well-designed":[127],"loss":[128,145],"function":[129,146],"information":[133],"measure":[136],"denoising":[138],"quality":[139],"simultaneously.":[140],"The":[141],"guide":[147],"DRIRSN":[148,165],"focus":[150],"areas":[153],"with":[154,201,223,248],"rich":[155],"content":[156],"information,":[158],"enhancing":[159],"adaptability":[161],"network.":[164],"inherits":[166],"properties":[168],"adaptively":[172],"selecting":[173],"weighting":[175],"neighborhood,":[180],"adjusts":[183],"according":[187],"estimated":[190],"We":[196],"compare":[197],"networks":[200,217],"reference":[202],"methods":[203],"both":[205],"simulated":[206],"images":[207],"real":[209],"Experimental":[211],"results":[212],"demonstrate":[213],"that":[214],"can":[218],"effectively":[219],"low":[224],"time":[225],"consumption":[226],"and,":[227],"meanwhile,":[228],"better":[229],"preserve":[230],"details":[232],"repetitive":[235],"structures":[236],"such":[237],"as":[238],"textures":[239],"edges,":[241],"scattering":[245],"characteristics,":[246],"compared":[247],"other":[250],"methods.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}