{"id":"https:\/\/openalex.org\/W4385338595","doi":"https:\/\/doi.org\/10.1109\/tgrs.2023.3299636","title":"Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising","display_name":"Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https:\/\/openalex.org\/W4385338595","doi":"https:\/\/doi.org\/10.1109\/tgrs.2023.3299636"},"language":"en","primary_location":{"id":"doi:10.1109\/tgrs.2023.3299636","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/tgrs.2023.3299636","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\/A5100721950","display_name":"Minghao Liu","orcid":"https:\/\/orcid.org\/0000-0002-9673-6463"},"institutions":[{"id":"https:\/\/openalex.org\/I4210162190","display_name":"China University of Petroleum, East China","ror":"https:\/\/ror.org\/05gbn2817","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghao Liu","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https:\/\/openalex.org\/I4210162190"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5006860118","display_name":"Wenzong Jiang","orcid":"https:\/\/orcid.org\/0000-0002-0062-5276"},"institutions":[{"id":"https:\/\/openalex.org\/I4210162190","display_name":"China University of Petroleum, East China","ror":"https:\/\/ror.org\/05gbn2817","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzong Jiang","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","College of Oceanography and Space informatics, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https:\/\/orcid.org\/0000-0002-0062-5276","affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https:\/\/openalex.org\/I4210162190"]},{"raw_affiliation_string":"College of Oceanography and Space informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https:\/\/openalex.org\/I4210162190"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5100444156","display_name":"Weifeng Liu","orcid":"https:\/\/orcid.org\/0000-0002-5388-9080"},"institutions":[{"id":"https:\/\/openalex.org\/I4210162190","display_name":"China University of Petroleum, East China","ror":"https:\/\/ror.org\/05gbn2817","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https:\/\/orcid.org\/0000-0002-5388-9080","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https:\/\/openalex.org\/I4210162190"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5067600725","display_name":"Dapeng Tao","orcid":"https:\/\/orcid.org\/0000-0003-0783-5273"},"institutions":[{"id":"https:\/\/openalex.org\/I189210763","display_name":"Yunnan University","ror":"https:\/\/ror.org\/0040axw97","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Yunnan, China"],"raw_orcid":"https:\/\/orcid.org\/0000-0003-0783-5273","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Yunnan, China","institution_ids":["https:\/\/openalex.org\/I189210763"]}]},{"author_position":"last","author":{"id":"https:\/\/openalex.org\/A5091703383","display_name":"Baodi Liu","orcid":"https:\/\/orcid.org\/0000-0002-1408-5514"},"institutions":[{"id":"https:\/\/openalex.org\/I4210162190","display_name":"China University of Petroleum, East China","ror":"https:\/\/ror.org\/05gbn2817","country_code":"CN","type":"education","lineage":["https:\/\/openalex.org\/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baodi Liu","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https:\/\/orcid.org\/0000-0002-1408-5514","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https:\/\/openalex.org\/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https:\/\/openalex.org\/A5100721950"],"corresponding_institution_ids":["https:\/\/openalex.org\/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":1.0597,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7913393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https:\/\/openalex.org\/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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\/computer-science","display_name":"Computer science","score":0.7999556064605713},{"id":"https:\/\/openalex.org\/keywords\/artificial-intelligence","display_name":"Artificial intelligence","score":0.6806247234344482},{"id":"https:\/\/openalex.org\/keywords\/noise","display_name":"Noise (video)","score":0.5694818496704102},{"id":"https:\/\/openalex.org\/keywords\/remote-sensing","display_name":"Remote sensing","score":0.561416506767273},{"id":"https:\/\/openalex.org\/keywords\/computer-vision","display_name":"Computer vision","score":0.5186690092086792},{"id":"https:\/\/openalex.org\/keywords\/noise-reduction","display_name":"Noise reduction","score":0.5079091191291809},{"id":"https:\/\/openalex.org\/keywords\/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46438631415367126},{"id":"https:\/\/openalex.org\/keywords\/feature","display_name":"Feature (linguistics)","score":0.44696661829948425},{"id":"https:\/\/openalex.org\/keywords\/image-texture","display_name":"Image texture","score":0.43407773971557617},{"id":"https:\/\/openalex.org\/keywords\/image","display_name":"Image (mathematics)","score":0.31794989109039307},{"id":"https:\/\/openalex.org\/keywords\/image-processing","display_name":"Image processing","score":0.30546441674232483}],"concepts":[{"id":"https:\/\/openalex.org\/C41008148","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q21198","display_name":"Computer science","level":0,"score":0.7999556064605713},{"id":"https:\/\/openalex.org\/C154945302","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6806247234344482},{"id":"https:\/\/openalex.org\/C99498987","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q2210247","display_name":"Noise (video)","level":3,"score":0.5694818496704102},{"id":"https:\/\/openalex.org\/C62649853","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q199687","display_name":"Remote sensing","level":1,"score":0.561416506767273},{"id":"https:\/\/openalex.org\/C31972630","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q844240","display_name":"Computer vision","level":1,"score":0.5186690092086792},{"id":"https:\/\/openalex.org\/C163294075","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q581861","display_name":"Noise reduction","level":2,"score":0.5079091191291809},{"id":"https:\/\/openalex.org\/C153180895","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46438631415367126},{"id":"https:\/\/openalex.org\/C2776401178","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44696661829948425},{"id":"https:\/\/openalex.org\/C63099799","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q17147001","display_name":"Image texture","level":4,"score":0.43407773971557617},{"id":"https:\/\/openalex.org\/C115961682","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31794989109039307},{"id":"https:\/\/openalex.org\/C9417928","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q1070689","display_name":"Image processing","level":3,"score":0.30546441674232483},{"id":"https:\/\/openalex.org\/C41895202","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q8162","display_name":"Linguistics","level":1,"score":0},{"id":"https:\/\/openalex.org\/C127313418","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q1069","display_name":"Geology","level":0,"score":0},{"id":"https:\/\/openalex.org\/C138885662","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q5891","display_name":"Philosophy","level":0,"score":0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109\/tgrs.2023.3299636","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/tgrs.2023.3299636","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\/G2335360996","display_name":null,"funder_award_id":"ZR2019MF073","funder_id":"https:\/\/openalex.org\/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https:\/\/openalex.org\/G3214728010","display_name":null,"funder_award_id":"61671480","funder_id":"https:\/\/openalex.org\/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https:\/\/openalex.org\/G4188615215","display_name":null,"funder_award_id":"23-2-1-161-zyyd-jch","funder_id":"https:\/\/openalex.org\/F4320328636","funder_display_name":"Natural Science Foundation of Qingdao"},{"id":"https:\/\/openalex.org\/G560426348","display_name":null,"funder_award_id":"202202AD080003","funder_id":"https:\/\/openalex.org\/F4320336602","funder_display_name":"Major Science and Technology Projects in Yunnan Province"},{"id":"https:\/\/openalex.org\/G7715822239","display_name":null,"funder_award_id":"ZR2023MF008","funder_id":"https:\/\/openalex.org\/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https:\/\/openalex.org\/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https:\/\/ror.org\/01h0zpd94"},{"id":"https:\/\/openalex.org\/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https:\/\/openalex.org\/F4320328636","display_name":"Natural Science Foundation of Qingdao","ror":null},{"id":"https:\/\/openalex.org\/F4320336602","display_name":"Major Science and Technology Projects in Yunnan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https:\/\/openalex.org\/W19902361","https:\/\/openalex.org\/W1963651676","https:\/\/openalex.org\/W1980038761","https:\/\/openalex.org\/W1982471090","https:\/\/openalex.org\/W2003884262","https:\/\/openalex.org\/W2005089986","https:\/\/openalex.org\/W2017399967","https:\/\/openalex.org\/W2037642501","https:\/\/openalex.org\/W2048695508","https:\/\/openalex.org\/W2073623229","https:\/\/openalex.org\/W2098477387","https:\/\/openalex.org\/W2103496339","https:\/\/openalex.org\/W2103559027","https:\/\/openalex.org\/W2107459025","https:\/\/openalex.org\/W2130829856","https:\/\/openalex.org\/W2136035751","https:\/\/openalex.org\/W2159558889","https:\/\/openalex.org\/W2160547390","https:\/\/openalex.org\/W2162692770","https:\/\/openalex.org\/W2280622051","https:\/\/openalex.org\/W2480706550","https:\/\/openalex.org\/W2508457857","https:\/\/openalex.org\/W2764207251","https:\/\/openalex.org\/W2793146153","https:\/\/openalex.org\/W2798278116","https:\/\/openalex.org\/W2806155925","https:\/\/openalex.org\/W2890732922","https:\/\/openalex.org\/W2902060108","https:\/\/openalex.org\/W2902857081","https:\/\/openalex.org\/W2917046644","https:\/\/openalex.org\/W2942098194","https:\/\/openalex.org\/W2949725501","https:\/\/openalex.org\/W2963725279","https:\/\/openalex.org\/W2964135133","https:\/\/openalex.org\/W2986057551","https:\/\/openalex.org\/W3034902810","https:\/\/openalex.org\/W3035542568","https:\/\/openalex.org\/W3047011367","https:\/\/openalex.org\/W3097262261","https:\/\/openalex.org\/W3098435832","https:\/\/openalex.org\/W3158402280","https:\/\/openalex.org\/W3163377627","https:\/\/openalex.org\/W3166716987","https:\/\/openalex.org\/W3178192988","https:\/\/openalex.org\/W4214902837","https:\/\/openalex.org\/W4224104371","https:\/\/openalex.org\/W4281993299","https:\/\/openalex.org\/W4283717190","https:\/\/openalex.org\/W4288348155","https:\/\/openalex.org\/W4288618203","https:\/\/openalex.org\/W4313476874","https:\/\/openalex.org\/W6600815173","https:\/\/openalex.org\/W6674855086","https:\/\/openalex.org\/W6749271710","https:\/\/openalex.org\/W6759001153","https:\/\/openalex.org\/W6761951152","https:\/\/openalex.org\/W6762734363","https:\/\/openalex.org\/W6796538260","https:\/\/openalex.org\/W6839246140"],"related_works":["https:\/\/openalex.org\/W3147584709","https:\/\/openalex.org\/W2977677679","https:\/\/openalex.org\/W1992327129","https:\/\/openalex.org\/W2381986121","https:\/\/openalex.org\/W2370918718","https:\/\/openalex.org\/W2387796150","https:\/\/openalex.org\/W2256933480","https:\/\/openalex.org\/W2370081953","https:\/\/openalex.org\/W2027854990","https:\/\/openalex.org\/W2008487901"],"abstract_inverted_index":{"Optical":[0],"remote":[1,73,79,102,120,151,162,169,208],"sensing":[2,74,80,103,121,152,163,170,209],"images":[3,16,81,104,164,210],"are":[4],"widely":[5],"used":[6,224],"in":[7,15,22,33,54,66,71,173,182],"many":[8],"fields,":[9],"and":[10,76,143,185,236],"local":[11,68],"complex":[12,31,69,158,213],"texture":[13,32,70,159],"details":[14],"usually":[17,47],"play":[18],"a":[19,113,128,167,217],"critical":[20],"role":[21],"downstream":[23,41],"tasks.":[24,42],"However,":[25],"noise":[26,222,234,238],"interference":[27],"will":[28],"destroy":[29],"the":[30,34,38,50,55,63,67,72,90,137,145,183,226,243],"image,":[35,56,75],"thus":[36],"reducing":[37],"accuracy":[39],"of":[40,140],"The":[43],"current":[44,91],"attention":[45,116,131],"mechanism":[46],"focuses":[48],"on":[49,62,230],"global":[51],"high-level":[52],"features":[53,160],"so":[57],"it":[58],"cannot":[59],"effectively":[60,156],"focus":[61],"high-frequency":[64],"information":[65,148],"obtaining":[77],"clean":[78],"to":[82,100,189],"train":[83],"neural":[84],"networks":[85],"is":[86,105,223],"difficult.":[87],"Therefore,":[88,196],"applying":[89],"depth":[92],"learning":[93],"based":[94],"natural":[95],"image":[96,122,171,219],"denoising":[97,123,201],"methods":[98],"directly":[99],"optical":[101],"challenging.":[106],"To":[107],"solve":[108],"these":[109],"problems,":[110],"we":[111,176],"propose":[112],"dynamic":[114,129],"adaptive":[115,130],"guided":[117],"self-supervised":[118,200],"single":[119,168,218],"network":[124],"(DAA-SSID).":[125],"We":[126],"construct":[127],"module":[132],"(DAAM)":[133],"by":[134,193,221],"dynamically":[135],"calculating":[136],"activation":[138],"intensity":[139],"each":[141],"neuron":[142],"combining":[144],"spatial":[146],"feature":[147],"extracted":[149],"from":[150,161],"images.":[153],"It":[154],"can":[155,206],"extract":[157],"when":[165,215],"only":[166,216],"participates":[172],"training.":[174,195],"And":[175],"use":[177],"independent":[178],"random":[179],"Bernoulli":[180],"sampling":[181],"training":[184,227],"inference":[186],"stages":[187],"respectively":[188],"prevent":[190],"over-fitting":[191],"caused":[192],"single-image":[194],"compared":[197],"with":[198,211],"other":[199],"methods,":[202],"our":[203],"proposed":[204,244],"model":[205,245],"denoise":[207],"more":[212],"textures":[214],"destroyed":[220],"as":[225],"input.":[228],"Experiments":[229],"synthetic":[231],"additive":[232],"gaussian":[233],"data":[235,239],"authentic":[237],"have":[240],"shown":[241],"that":[242],"achieves":[246],"satisfactory":[247],"results.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}