{"id":"https://openalex.org/W4360993974","doi":"https://doi.org/10.1109/tgrs.2023.3261964","title":"Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal","display_name":"Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4360993974","doi":"https://doi.org/10.1109/tgrs.2023.3261964"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3261964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3261964","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/A5100325515","display_name":"Minghua Wang","orcid":"https://orcid.org/0000-0001-5715-130X"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghua Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","UCAS - University of Chinese Academy of Sciences [Beijing] (No.19(A) Yuquan Road, Shijingshan District, Beijing, P.R.China 100049 - China)","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"UCAS - University of Chinese Academy of Sciences [Beijing] (No.19(A) Yuquan Road, Shijingshan District, Beijing, P.R.China 100049 - China)","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052217040","display_name":"Longfei Ren","orcid":"https://orcid.org/0000-0002-0414-5114"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Ren","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013885739","display_name":"Jing Yao","orcid":"https://orcid.org/0000-0003-1301-9758"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yao","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"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/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["French National Centre for Scientific Research (CNRS), Grenoble INP, GIPSA-Lab, Université Grenoble Alpes, Grenoble, France","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"French National Centre for Scientific Research (CNRS), Grenoble INP, GIPSA-Lab, Université Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100325515"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":5.2393,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9601836,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"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/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9966999888420105,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7460078001022339},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6945323944091797},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.66376131772995},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6527560353279114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195355653762817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6014074683189392},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5968368649482727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5513071417808533},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5378237366676331},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45279890298843384},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4261273145675659},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3467037081718445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3265010118484497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1659717559814453}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7460078001022339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6945323944091797},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.66376131772995},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6527560353279114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195355653762817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6014074683189392},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5968368649482727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5513071417808533},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5378237366676331},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45279890298843384},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4261273145675659},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467037081718445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3265010118484497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1659717559814453},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3261964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3261964","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"},{"id":"pmh:oai:HAL:hal-04473672v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04473672","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.1-17. ⟨10.1109/TGRS.2023.3261964⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5484287860","display_name":null,"funder_award_id":"42271350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6156138116","display_name":null,"funder_award_id":"62201552","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8831652489","display_name":null,"funder_award_id":"2022M713223","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321048","display_name":"AXA Research Fund","ror":"https://ror.org/02zxqxw53"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1974438823","https://openalex.org/W1992841740","https://openalex.org/W1997201895","https://openalex.org/W2010702969","https://openalex.org/W2024288510","https://openalex.org/W2042442393","https://openalex.org/W2043441451","https://openalex.org/W2047870694","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2070424424","https://openalex.org/W2079724595","https://openalex.org/W2097381359","https://openalex.org/W2124463804","https://openalex.org/W2145962650","https://openalex.org/W2147042314","https://openalex.org/W2155658307","https://openalex.org/W2163816481","https://openalex.org/W2288752886","https://openalex.org/W2292987679","https://openalex.org/W2295576075","https://openalex.org/W2303627748","https://openalex.org/W2493273699","https://openalex.org/W2497075055","https://openalex.org/W2586973374","https://openalex.org/W2624915162","https://openalex.org/W2743606449","https://openalex.org/W2747865121","https://openalex.org/W2755992512","https://openalex.org/W2796629918","https://openalex.org/W2898121906","https://openalex.org/W2900199428","https://openalex.org/W2907147407","https://openalex.org/W2951401720","https://openalex.org/W2972480129","https://openalex.org/W3011440447","https://openalex.org/W3032341357","https://openalex.org/W3033502405","https://openalex.org/W3038851053","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3096034204","https://openalex.org/W3100714546","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3124851637","https://openalex.org/W3124863755","https://openalex.org/W3126418353","https://openalex.org/W3130779229","https://openalex.org/W3137199127","https://openalex.org/W3158390871","https://openalex.org/W3168241937","https://openalex.org/W3168367808","https://openalex.org/W3199351457","https://openalex.org/W3211474784","https://openalex.org/W3214193733","https://openalex.org/W4226075372","https://openalex.org/W4226401714","https://openalex.org/W4282929851","https://openalex.org/W4285233009","https://openalex.org/W4292363360","https://openalex.org/W4312659060","https://openalex.org/W4313506322","https://openalex.org/W4315750685","https://openalex.org/W4319990441","https://openalex.org/W6675164516"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Efforts":[0],"to":[1,43,78,92,133,182],"enhance":[2],"the":[3,16,33,47,52,114,118,126,130,142,147,152,156,184,196,201],"detection":[4,10,53,63,83,139],"accuracy":[5],"of":[6,18,35,49,117,129,146,160,173,198],"hyperspectral":[7],"(HS)":[8],"anomaly":[9,62],"(AD)":[11],"have":[12],"been":[13,29],"significant,":[14],"but":[15],"impact":[17],"noise":[19,50,65,135,207],"resulting":[20],"from":[21],"HS":[22,94,202],"data":[23,193],"acquisition":[24],"and":[25,37,45,64,82,96,136,149,191],"transmission":[26],"has":[27],"not":[28],"well":[30],"studied.":[31],"Furthermore,":[32],"separation":[34],"denoising":[36],"subsequent":[38],"interpretation":[39],"makes":[40],"it":[41],"challenging":[42],"evaluate":[44],"control":[46],"influence":[48],"on":[51,189],"results.":[54],"To":[55],"this":[56],"end,":[57],"we":[58],"proposed":[59,185],"a":[60,73,88,108],"joint":[61],"removal":[66],"(ADNR)":[67],"paradigm":[68],"called":[69],"DSR-ADNR,":[70],"which":[71],"develops":[72],"double":[74],"subspace":[75,111],"representation":[76,145],"method":[77,172],"obtain":[79],"both":[80],"denoised":[81],"results":[84],"simultaneously.":[85],"DSR-ADNR":[86,124,199],"uses":[87],"low-dimensional":[89,119],"orthogonal":[90],"basis":[91],"represent":[93],"images":[95],"extract":[97],"distinctive":[98],"features":[99],"for":[100,151,164],"AD.":[101],"The":[102,167],"feature":[103,131,153],"matrix":[104,132,154],"is":[105,180],"represented":[106],"by":[107],"dictionary-based":[109],"low-rank":[110],"that":[112],"captures":[113],"complex":[115],"nature":[116],"features.":[120],"In":[121],"each":[122],"iteration,":[123],"utilizes":[125],"nonlocal":[127,161],"self-similarity":[128],"remove":[134],"improve":[137],"intermediate":[138],"performance.":[140],"Meanwhile,":[141],"progressive":[143],"LR":[144,158],"background":[148],"anomalies":[150],"upgrades":[155],"explicit":[157],"expression":[159],"self-similar":[162],"patches":[163],"better":[165],"denoising.":[166],"well-designed":[168],"linearized":[169],"alternating":[170],"direction":[171],"multipliers":[174],"with":[175],"an":[176],"adaptive":[177],"penalty":[178],"(LADMAP)":[179],"utilized":[181],"solve":[183],"DSR-ADNR.":[186],"Extensive":[187],"experiments":[188],"simulated":[190],"real-world":[192],"sets":[194],"demonstrate":[195],"effectiveness":[197],"in":[200],"AD":[203],"task":[204],"under":[205],"different":[206],"cases.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}