{"id":"https://openalex.org/W2986628972","doi":"https://doi.org/10.1109/igarss.2019.8900157","title":"Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization","display_name":"Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2986628972","doi":"https://doi.org/10.1109/igarss.2019.8900157","mag":"2986628972"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084407185","display_name":"Yu\u2010Bang Zheng","orcid":"https://orcid.org/0000-0003-1756-6716"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Bang Zheng","raw_affiliation_strings":["School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065782725","display_name":"Ting\u2010Zhu Huang","orcid":"https://orcid.org/0000-0001-7766-230X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Zhu Huang","raw_affiliation_strings":["School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011715660","display_name":"Xi-Le Zhao","orcid":"https://orcid.org/0000-0002-6540-946X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Le Zhao","raw_affiliation_strings":["School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036399063","display_name":"Tai-Xiang Jiang","orcid":"https://orcid.org/0000-0002-9099-4154"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tai-Xiang Jiang","raw_affiliation_strings":["School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029236040","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0002-7684-2533"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"222","last_page":"225"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7263587117195129},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.610298752784729},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.6008074283599854},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5927497148513794},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5630760192871094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5547938942909241},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5245261788368225},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4882683753967285},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4499078392982483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4345552623271942},{"id":"https://openalex.org/keywords/fibered-knot","display_name":"Fibered knot","score":0.4141218662261963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007841944694519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39607274532318115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3078942894935608},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.23233327269554138},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1910105049610138},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1909623146057129},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13684296607971191}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7263587117195129},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.610298752784729},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.6008074283599854},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5927497148513794},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5630760192871094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5547938942909241},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5245261788368225},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4882683753967285},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4499078392982483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4345552623271942},{"id":"https://openalex.org/C133776654","wikidata":"https://www.wikidata.org/wiki/Q2381352","display_name":"Fibered knot","level":2,"score":0.4141218662261963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007841944694519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39607274532318115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3078942894935608},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.23233327269554138},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1910105049610138},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1909623146057129},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13684296607971191},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1965221572","https://openalex.org/W1994040806","https://openalex.org/W2039596145","https://openalex.org/W2163886442","https://openalex.org/W2171520281","https://openalex.org/W2289756263","https://openalex.org/W2735711969","https://openalex.org/W2790888198","https://openalex.org/W2804744787","https://openalex.org/W2811042045","https://openalex.org/W2901807228","https://openalex.org/W2963328634","https://openalex.org/W2964214749"],"related_works":["https://openalex.org/W2969683494","https://openalex.org/W3121932492","https://openalex.org/W2776058083","https://openalex.org/W2010100052","https://openalex.org/W3104088881","https://openalex.org/W2375153009","https://openalex.org/W2906988372","https://openalex.org/W2793896956","https://openalex.org/W4387803809","https://openalex.org/W3022405224"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,50],"propose":[4,51],"a":[5,26,35,52,68],"new":[6],"tensor":[7,15,28,62],"rank,":[8,11],"named":[9],"fibered":[10,73],"by":[12],"generalizing":[13],"the":[14,21,47,60,72,88,94,97,101],"singular":[16],"value":[17],"decomposition":[18],"(t-SVD)":[19],"to":[20,86],"mode-k":[22,31,36],"t-SVD.":[23],"It":[24],"factorizes":[25],"three-way":[27],"into":[29],"two":[30],"orthogonal":[32],"tensors":[33],"and":[34,44],"diagonal":[37],"tensor.":[38],"To":[39],"efficiently":[40],"remove":[41],"mixed":[42],"noise":[43],"finely":[45],"preserve":[46],"structure":[48],"information,":[49],"novel":[53],"hyperspectral":[54],"image":[55],"denoising":[56],"model":[57],"based":[58],"on":[59],"three-directional":[61],"nuclear":[63],"norm":[64],"(3DTNN),":[65],"which":[66],"is":[67,84],"convex":[69],"relaxation":[70],"of":[71,80,96],"rank.":[74],"An":[75],"efficient":[76],"alternating":[77],"direction":[78],"method":[79,99],"multipliers":[81],"(ADMM)-based":[82],"algorithm":[83],"developed":[85],"solve":[87],"proposed":[89,98],"model.":[90],"Experimental":[91],"results":[92],"demonstrate":[93],"superiority":[95],"over":[100],"compared":[102],"ones.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
