{"id":"https://openalex.org/W4384159727","doi":"https://doi.org/10.1109/lgrs.2023.3294933","title":"H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization","display_name":"H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384159727","doi":"https://doi.org/10.1109/lgrs.2023.3294933"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3294933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3294933","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100446488","display_name":"Jiayi Li","orcid":"https://orcid.org/0000-0003-1626-4759"},"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":true,"raw_author_name":"Jia-Yi Li","raw_affiliation_strings":["Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, China","Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, P.R.China"],"affiliations":[{"raw_affiliation_string":"Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, P.R.China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733502","display_name":"J.L. Xie","orcid":"https://orcid.org/0000-0002-3866-3737"},"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":"Jin-Yu Xie","raw_affiliation_strings":["Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, China","Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, P.R.China"],"affiliations":[{"raw_affiliation_string":"Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, P.R.China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037421955","display_name":"Yisi Luo","orcid":"https://orcid.org/0000-0001-9295-4896"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Si Luo","raw_affiliation_strings":["School of Mathematical and Statistics, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"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, University of Electronic Science and Technology of China, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, P.R.China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378988","display_name":"Jian-Li Wang","orcid":"https://orcid.org/0000-0003-4774-4894"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Li Wang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, P.R.China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100446488"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.3611,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5889999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9954000115394592,"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":0.7764242887496948},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7204658389091492},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6788482069969177},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5300849676132202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5238338112831116},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5179709196090698},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5134156942367554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5012338161468506},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4779793620109558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47729623317718506},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4379805326461792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4311240613460541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36053764820098877},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3333618640899658},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11436909437179565}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7764242887496948},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7204658389091492},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6788482069969177},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5300849676132202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5238338112831116},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5179709196090698},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5134156942367554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5012338161468506},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4779793620109558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47729623317718506},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4379805326461792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4311240613460541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36053764820098877},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3333618640899658},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11436909437179565},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3294933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3294933","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1628077028","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6863986931","display_name":null,"funder_award_id":"62131005","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1992426838","https://openalex.org/W2100109944","https://openalex.org/W2139208832","https://openalex.org/W2314433345","https://openalex.org/W2614611154","https://openalex.org/W2762772695","https://openalex.org/W2765145408","https://openalex.org/W2805465265","https://openalex.org/W2806155925","https://openalex.org/W2963885538","https://openalex.org/W2964179170","https://openalex.org/W2970683532","https://openalex.org/W2972366341","https://openalex.org/W2973217146","https://openalex.org/W2979001238","https://openalex.org/W2982317909","https://openalex.org/W2991209609","https://openalex.org/W2996534391","https://openalex.org/W3035318978","https://openalex.org/W3098435832","https://openalex.org/W3133841201","https://openalex.org/W3139312239","https://openalex.org/W3173732000","https://openalex.org/W3183633173","https://openalex.org/W3204653398","https://openalex.org/W4220945040","https://openalex.org/W4285303228","https://openalex.org/W4288345424","https://openalex.org/W4309588167","https://openalex.org/W4312229687","https://openalex.org/W4312781433","https://openalex.org/W6631190155","https://openalex.org/W6745705539","https://openalex.org/W6763624801","https://openalex.org/W6784398640"],"related_works":["https://openalex.org/W2782904003","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W4226434912","https://openalex.org/W2002598339","https://openalex.org/W1995410415","https://openalex.org/W2133814741","https://openalex.org/W3108343813","https://openalex.org/W4312481107","https://openalex.org/W2482295163"],"abstract_inverted_index":{"Recently,":[0],"tensor":[1],"singular":[2],"value":[3],"decomposition":[4],"(t-SVD)":[5],"has":[6],"emerged":[7],"as":[8,94],"a":[9,89],"promising":[10],"tool":[11],"for":[12],"hyperspectral":[13],"image":[14],"(HSI)":[15],"processing.":[16],"In":[17,65],"the":[18,27,33,47,53,58,70,78,83,128,144,150],"t-SVD,":[19],"there":[20],"are":[21],"two":[22],"key":[23],"building":[24,74],"blocks:":[25],"(i)":[26],"low-rank":[28,35,102],"enhanced":[29],"transform":[30,81],"and":[31,82,133],"(ii)":[32],"accompanying":[34],"characterization":[36,60],"of":[37,49,61,115,139,152],"transformed":[38,62,116],"frontal":[39,63,117],"slices.":[40,64],"Previous":[41],"t-SVD":[42],"methods":[43],"mainly":[44],"focus":[45],"on":[46],"developments":[48],"(i),":[50],"while":[51],"neglecting":[52],"other":[54],"important":[55],"aspect,":[56],"i.e.,":[57],"exact":[59],"this":[66],"letter,":[67],"we":[68],"exploit":[69],"potentiality":[71],"in":[72],"both":[73],"blocks":[75],"by":[76],"leveraging":[77],"Hierarchical":[79,84],"nonlinear":[80],"matrix":[85,103],"factorization":[86,104],"to":[87,97,120,142],"establish":[88],"new":[90],"Tensor":[91],"Factorization":[92],"(termed":[93],"H2TF).":[95],"Compared":[96],"shallow":[98],"counter":[99],"partners,":[100],"e.g.,":[101],"or":[105],"its":[106,121],"convex":[107],"surrogates,":[108],"H2TF":[109],"can":[110],"better":[111],"capture":[112],"complex":[113],"structures":[114],"slices":[118],"due":[119],"hierarchical":[122],"modeling":[123],"abilities.":[124],"We":[125],"then":[126],"suggest":[127],"H2TF-based":[129],"HSI":[130,157],"denoising":[131,158],"model":[132],"develop":[134],"an":[135],"alternating":[136],"direction":[137],"method":[138,154],"multipliers-based":[140],"algorithm":[141],"address":[143],"resultant":[145],"model.":[146],"Extensive":[147],"experiments":[148],"validate":[149],"superiority":[151],"our":[153],"over":[155],"state-of-the-art":[156],"methods.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2023-07-14T00:00:00"}