{"id":"https://openalex.org/W4304481541","doi":"https://doi.org/10.1109/tip.2022.3211471","title":"Cooperated Spectral Low-Rankness Prior and Deep Spatial Prior for HSI Unsupervised Denoising","display_name":"Cooperated Spectral Low-Rankness Prior and Deep Spatial Prior for HSI Unsupervised Denoising","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4304481541","doi":"https://doi.org/10.1109/tip.2022.3211471","pmid":"https://pubmed.ncbi.nlm.nih.gov/36215364"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3211471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3211471","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101858835","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0002-7116-9327"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","Information Science and Technology College, Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-7116-9327","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"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":"middle","author":{"id":"https://openalex.org/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Song","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","Information Science and Technology College, Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-4489-5470","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081712622","display_name":"Haoyang Yu","orcid":"https://orcid.org/0000-0002-4026-7450"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Yu","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","Information Science and Technology College, Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-4026-7450","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5843,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.98697837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"6356","last_page":"6368"},"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":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944999814033508,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.792016863822937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7194662094116211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6881541609764099},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6861326694488525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6291669011116028},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5212550759315491},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49277833104133606},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4868468642234802},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4160038232803345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12462222576141357}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.792016863822937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7194662094116211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881541609764099},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6861326694488525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6291669011116028},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5212550759315491},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49277833104133606},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4868468642234802},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4160038232803345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12462222576141357}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3211471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3211471","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:36215364","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36215364","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2845203061","display_name":null,"funder_award_id":"42101350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4853151793","display_name":null,"funder_award_id":"41922008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5800071179","display_name":"\u57fa\u4e8e\u6d4b\u5ea6\u4fdd\u6301\u548c\u4efb\u52a1\u9a71\u52a8\u7684\u975e\u76d1\u7763\u6ce2\u6bb5\u9009\u62e9\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5938917540","display_name":"\u8026\u5408\u53d8\u5206\u6a21\u578b\u4e0e\u6df1\u5ea6\u5148\u9a8c\u7684\u89c6\u9891\u9065\u611f\u56fe\u50cf\u7a7a-\u8c31\u5206\u8fa8\u7387\u589e\u5f3a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971319","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":69,"referenced_works":["https://openalex.org/W1564466062","https://openalex.org/W1885185971","https://openalex.org/W1944540851","https://openalex.org/W1974438823","https://openalex.org/W1974933922","https://openalex.org/W1994040806","https://openalex.org/W2024165284","https://openalex.org/W2053514113","https://openalex.org/W2070424424","https://openalex.org/W2072026894","https://openalex.org/W2082590963","https://openalex.org/W2087263574","https://openalex.org/W2095906131","https://openalex.org/W2171520281","https://openalex.org/W2289756263","https://openalex.org/W2327302159","https://openalex.org/W2469230926","https://openalex.org/W2507452168","https://openalex.org/W2508457857","https://openalex.org/W2743606449","https://openalex.org/W2753754894","https://openalex.org/W2788008270","https://openalex.org/W2789643644","https://openalex.org/W2790888198","https://openalex.org/W2792111852","https://openalex.org/W2793218933","https://openalex.org/W2805465265","https://openalex.org/W2806155925","https://openalex.org/W2887202977","https://openalex.org/W2891269274","https://openalex.org/W2914736033","https://openalex.org/W2935130647","https://openalex.org/W2945202593","https://openalex.org/W2959148625","https://openalex.org/W2962747489","https://openalex.org/W2963165461","https://openalex.org/W2963213461","https://openalex.org/W2963583038","https://openalex.org/W2963885538","https://openalex.org/W2972029982","https://openalex.org/W2972301798","https://openalex.org/W2979001238","https://openalex.org/W2984522085","https://openalex.org/W2991209609","https://openalex.org/W2991616716","https://openalex.org/W2999482976","https://openalex.org/W3004433344","https://openalex.org/W3008202438","https://openalex.org/W3013064625","https://openalex.org/W3017506038","https://openalex.org/W3021083191","https://openalex.org/W3021538028","https://openalex.org/W3022346097","https://openalex.org/W3041293645","https://openalex.org/W3042423471","https://openalex.org/W3042671644","https://openalex.org/W3044916064","https://openalex.org/W3090929676","https://openalex.org/W3098435832","https://openalex.org/W3102588113","https://openalex.org/W3103919952","https://openalex.org/W3103964896","https://openalex.org/W3123187387","https://openalex.org/W3165549846","https://openalex.org/W3190470001","https://openalex.org/W3205847273","https://openalex.org/W3211474784","https://openalex.org/W4310260446","https://openalex.org/W6633601229"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W3173596272","https://openalex.org/W3156786002","https://openalex.org/W4366492315"],"abstract_inverted_index":{"Model-driven":[0],"methods":[1,4,159],"and":[2,18,23,52,69,144,160],"data-driven":[3,24,41,161],"have":[5],"been":[6],"widely":[7],"developed":[8,134],"for":[9,57,123],"hyperspectral":[10],"image":[11],"(HSI)":[12],"denoising.":[13,60,127],"However,":[14],"there":[15],"are":[16],"pros":[17],"cons":[19],"in":[20,79,175],"both":[21,156],"model-driven":[22,39,158],"methods.":[25],"To":[26],"address":[27],"this":[28],"issue,":[29],"we":[30],"develop":[31],"a":[32,84,98],"self-supervised":[33,59,85,110],"HSI":[34,58],"denoising":[35],"method":[36,95],"via":[37,66],"integrating":[38],"with":[40,155],"strategy.":[42],"The":[43,93],"proposed":[44,94,168],"framework":[45,132],"simultaneously":[46],"cooperates":[47],"the":[48,63,74,89,105,109,116,137,145,167],"spectral":[49,76],"low-rankness":[50,77,139],"prior":[51,55,78,119,140],"deep":[53,90,117],"spatial":[54,91,118,125,146],"(SLRP-DSP)":[56],"SLRP-DSP":[61,82,112,169],"introduces":[62],"Tucker":[64],"factorization":[65],"orthogonal":[67],"basis":[68],"reduced":[70,124],"factor,":[71],"to":[72,87,135],"capture":[73],"global":[75],"HSI.":[80],"Besides,":[81],"adopts":[83],"way":[86],"learn":[88],"prior.":[92],"doesn't":[96],"need":[97],"large":[99],"number":[100],"of":[101,141,150],"clean":[102],"HSIs":[103],"as":[104],"label":[106],"samples.":[107],"Through":[108],"learning,":[111],"can":[113],"adaptively":[114],"adjust":[115],"from":[120],"self-spatial":[121],"information":[122],"factor":[126],"An":[128],"alternating":[129],"iterative":[130],"optimization":[131],"is":[133],"exploit":[136],"internal":[138],"third-order":[142],"tensors":[143],"feature":[147],"extraction":[148],"capacity":[149],"convolutional":[151],"neural":[152],"network.":[153],"Compared":[154],"existing":[157],"methods,":[162],"experimental":[163],"results":[164],"manifest":[165],"that":[166],"outperforms":[170],"on":[171],"mixed":[172],"noise":[173],"removal":[174],"different":[176],"noisy":[177],"HSIs.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":31},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
