{"id":"https://openalex.org/W4398250452","doi":"https://doi.org/10.1109/tgrs.2024.3404405","title":"Sentinel-1 Dual-Polarization SAR Images Despeckling Network Based on Unsupervised Learning","display_name":"Sentinel-1 Dual-Polarization SAR Images Despeckling Network Based on Unsupervised Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398250452","doi":"https://doi.org/10.1109/tgrs.2024.3404405"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3404405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3404405","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/A5089770704","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-4063-9381"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4063-9381","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062081726","display_name":"Liupeng Lin","orcid":"https://orcid.org/0000-0002-3676-6775"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liupeng Lin","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3676-6775","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106510820","display_name":"M. He","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mange He","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0008-9459-9654","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618249","display_name":"Jiang He","orcid":"https://orcid.org/0000-0002-0296-8395"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang He","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0296-8395","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047576305","display_name":"Qiangqiang Yuan","orcid":"https://orcid.org/0000-0001-7140-2224"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Yuan","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7140-2224","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanfeng Shen","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4140-1869","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":7.481,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96095661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.975600004196167,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.975600004196167,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9725000262260437,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9424999952316284,"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/computer-science","display_name":"Computer science","score":0.6452118158340454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6095012426376343},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5613070726394653},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5573620796203613},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46414390206336975},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45982837677001953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41106748580932617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34216248989105225},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1278453767299652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452118158340454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6095012426376343},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5613070726394653},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5573620796203613},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46414390206336975},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45982837677001953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41106748580932617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34216248989105225},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1278453767299652},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3404405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3404405","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":[],"awards":[{"id":"https://openalex.org/G5258760432","display_name":"\u6a21\u578b\u9a71\u52a8\u4e0e\u6570\u636e\u9a71\u52a8\u8026\u5408\u7684\u9ad8\u65f6-\u7a7a-\u8c31\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5916703934","display_name":null,"funder_award_id":"42301417","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":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1602107991","https://openalex.org/W1843853251","https://openalex.org/W1978484351","https://openalex.org/W1998339281","https://openalex.org/W2004376198","https://openalex.org/W2011516671","https://openalex.org/W2049909233","https://openalex.org/W2052491606","https://openalex.org/W2077282160","https://openalex.org/W2117294245","https://openalex.org/W2144851790","https://openalex.org/W2343862349","https://openalex.org/W2370317051","https://openalex.org/W2548712274","https://openalex.org/W2559324447","https://openalex.org/W2604403460","https://openalex.org/W2621042270","https://openalex.org/W2757678917","https://openalex.org/W2771136535","https://openalex.org/W2793146153","https://openalex.org/W2892986862","https://openalex.org/W2893196123","https://openalex.org/W2897760800","https://openalex.org/W2902857081","https://openalex.org/W2963191028","https://openalex.org/W2963583038","https://openalex.org/W2964101377","https://openalex.org/W2966724909","https://openalex.org/W2990397035","https://openalex.org/W3006526286","https://openalex.org/W3025007558","https://openalex.org/W3037578234","https://openalex.org/W3047530386","https://openalex.org/W3112727310","https://openalex.org/W3113142645","https://openalex.org/W3130282602","https://openalex.org/W3136138438","https://openalex.org/W3146366485","https://openalex.org/W3146554236","https://openalex.org/W3211423531","https://openalex.org/W3213775471","https://openalex.org/W4213370452","https://openalex.org/W4220968229","https://openalex.org/W4237764598","https://openalex.org/W4366818859","https://openalex.org/W4367663120","https://openalex.org/W4380839232","https://openalex.org/W4388740167","https://openalex.org/W4389161396","https://openalex.org/W6631190155","https://openalex.org/W6749271710","https://openalex.org/W6766419211"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W2317351040","https://openalex.org/W2355001665","https://openalex.org/W2158111730","https://openalex.org/W1987967678","https://openalex.org/W4285447065","https://openalex.org/W2952466936","https://openalex.org/W2054274794","https://openalex.org/W4252699458"],"abstract_inverted_index":{"Supervised":[0],"deep":[1,53,77],"learning":[2,54,78],"despeckling":[3,172],"methods":[4],"usually":[5],"use":[6],"optical":[7,23],"images":[8,24],"to":[9,17,101,120,133,152],"simulate":[10],"multiplicative":[11],"noise":[12,183],"for":[13,82],"training.":[14],"However,":[15],"due":[16],"the":[18,28,32,43,47,51,60,66,92,114,122,135,145,154,168,174,180,192],"different":[19],"imaging":[20],"mechanisms":[21],"of":[22,31,42,68,137,184],"and":[25,97,113,124,141,160,188],"SAR":[26,84,94,105,171,186],"images,":[27,187],"data":[29],"characteristics":[30],"two":[33],"are":[34,118,196],"significantly":[35],"different,":[36],"resulting":[37],"in":[38],"poor":[39],"generalization":[40],"performance":[41],"model":[44],"trained":[45],"through":[46],"above":[48],"form.":[49],"Besides,":[50,144],"existing":[52,169],"models":[55],"do":[56],"not":[57],"fully":[58],"consider":[59],"physical":[61],"scattering":[62],"mechanism,":[63],"which":[64],"causes":[65],"loss":[67,148],"polarization":[69,98,123,161,193],"information.":[70,194],"To":[71],"solve":[72],"those":[73],"problems,":[74],"an":[75],"unsupervised":[76],"method":[79,176],"is":[80,131,150],"proposed":[81,151,175],"dual-polarization":[83,93,185],"image":[85,106],"despeckling.":[86],"Under":[87],"this":[88],"framework,":[89],"we":[90],"combine":[91],"covariance":[95],"matrix":[96],"decomposition":[99],"information":[100,158,162],"construct":[102],"a":[103],"Dual-branch":[104],"Despeckling":[107],"Network":[108],"(DSDN).":[109],"The":[110,128],"residual":[111],"channel":[112],"spatial":[115,125],"attention":[116],"mechanism":[117,130],"embedded":[119],"calibrate":[121],"feature":[126,138],"maps.":[127],"cross-attention":[129],"designed":[132],"mine":[134],"association":[136],"maps":[139],"before":[140],"after":[142],"denoising.":[143],"dual-branch":[146],"joint":[147],"function":[149],"constrain":[153],"training":[155],"process.":[156],"Spatial":[157],"experiments":[159,163],"indicate":[164],"that,":[165],"compared":[166],"with":[167],"state-of-the-art":[170],"methods,":[173],"can":[177,189],"effectively":[178],"remove":[179],"coherent":[181],"speckle":[182],"better":[190],"preserve":[191],"Codes":[195],"available":[197],"at":[198],"https://github.com/LiupengLin/DSDN.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
