{"id":"https://openalex.org/W2536231412","doi":"https://doi.org/10.3390/s16101718","title":"Hierarchical Sparse Learning with Spectral-Spatial Information for Hyperspectral Imagery Denoising","display_name":"Hierarchical Sparse Learning with Spectral-Spatial Information for Hyperspectral Imagery Denoising","publication_year":2016,"publication_date":"2016-10-17","ids":{"openalex":"https://openalex.org/W2536231412","doi":"https://doi.org/10.3390/s16101718","mag":"2536231412","pmid":"https://pubmed.ncbi.nlm.nih.gov/27763511"},"language":"en","primary_location":{"id":"doi:10.3390/s16101718","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101718","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1718/pdf?version=1476697356","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/16/10/1718/pdf?version=1476697356","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058146689","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0001-5002-4754"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi'an 710071, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi'an 710071, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058146689"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1826,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85688644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"16","issue":"10","first_page":"1718","last_page":"1718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9994000196456909,"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":0.7386069893836975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7088388204574585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6724700927734375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5845553874969482},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5660611391067505},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5015614032745361},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.49932360649108887},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4926310181617737},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.42046061158180237},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4125710725784302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31073564291000366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13796696066856384}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7386069893836975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088388204574585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6724700927734375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845553874969482},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5660611391067505},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5015614032745361},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.49932360649108887},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4926310181617737},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.42046061158180237},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4125710725784302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31073564291000366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13796696066856384},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s16101718","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101718","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1718/pdf?version=1476697356","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:27763511","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27763511","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ee3db1db7c874f6894a5de74d83ff63b","is_oa":true,"landing_page_url":"https://doaj.org/article/ee3db1db7c874f6894a5de74d83ff63b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 16, Iss 10, p 1718 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/16/10/1718/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s16101718","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 16; Issue 10; Pages: 1718","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5087505","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5087505","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s16101718","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101718","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1718/pdf?version=1476697356","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1989053102","display_name":null,"funder_award_id":"2013CB329402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2536231412.pdf","grobid_xml":"https://content.openalex.org/works/W2536231412.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W782681081","https://openalex.org/W1588948804","https://openalex.org/W1746819321","https://openalex.org/W1757497121","https://openalex.org/W1899329334","https://openalex.org/W1909043245","https://openalex.org/W1944540851","https://openalex.org/W1966580635","https://openalex.org/W1974438823","https://openalex.org/W1979646128","https://openalex.org/W1988386267","https://openalex.org/W1994040806","https://openalex.org/W2008732654","https://openalex.org/W2026149562","https://openalex.org/W2031299022","https://openalex.org/W2038977368","https://openalex.org/W2039596145","https://openalex.org/W2043220014","https://openalex.org/W2050760097","https://openalex.org/W2050834445","https://openalex.org/W2051968191","https://openalex.org/W2056370875","https://openalex.org/W2068873421","https://openalex.org/W2069441534","https://openalex.org/W2070262806","https://openalex.org/W2072026894","https://openalex.org/W2074871763","https://openalex.org/W2082600204","https://openalex.org/W2093429889","https://openalex.org/W2097073572","https://openalex.org/W2098612665","https://openalex.org/W2100921418","https://openalex.org/W2128717878","https://openalex.org/W2133665775","https://openalex.org/W2140702875","https://openalex.org/W2141983208","https://openalex.org/W2142224912","https://openalex.org/W2160547390","https://openalex.org/W2161073299","https://openalex.org/W2162276208","https://openalex.org/W2163112044","https://openalex.org/W2163738067","https://openalex.org/W2184334976","https://openalex.org/W2289756263","https://openalex.org/W2293524743","https://openalex.org/W2414009677","https://openalex.org/W3023114228","https://openalex.org/W4206310440","https://openalex.org/W4211049957","https://openalex.org/W4248681815","https://openalex.org/W6674723063","https://openalex.org/W6696154520"],"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/W2374021060","https://openalex.org/W2369564042","https://openalex.org/W2126683262"],"abstract_inverted_index":{"During":[0],"the":[1,43,56,125,129,132,144,150,158,172,178,184,188],"acquisition":[2],"process":[3,104],"hyperspectral":[4],"images":[5],"(HSI)":[6],"are":[7,53,120],"inevitably":[8],"corrupted":[9],"by":[10,95,141],"various":[11,180],"noises,":[12],"which":[13],"greatly":[14],"influence":[15],"their":[16],"visual":[17],"impression":[18],"and":[19,33,50,86,152,167,182],"subsequent":[20],"applications.":[21],"In":[22],"this":[23],"paper,":[24],"a":[25,96],"novel":[26],"Bayesian":[27],"approach":[28,174],"integrating":[29],"hierarchical":[30],"sparse":[31,87],"learning":[32],"spectral-spatial":[34],"information":[35,156,186],"is":[36,65,93,108,134],"proposed":[37,145,173],"for":[38],"HSI":[39,169],"denoising.":[40],"Based":[41],"on":[42,114,164],"structure":[44],"correlations,":[45],"spectral":[46],"bands":[47],"with":[48,105],"similar":[49],"continuous":[51],"features":[52],"segmented":[54],"into":[55,68],"same":[57],"band-subset.":[58],"To":[59],"exploit":[60],"local":[61],"similarity,":[62],"each":[63],"subset":[64],"then":[66],"divided":[67],"overlapping":[69],"cubic":[70],"patches.":[71],"All":[72],"patches":[73],"can":[74,147,175],"be":[75],"regarded":[76],"as":[77],"consisting":[78],"of":[79,99,131,157],"clean":[80],"image":[81],"component,":[82],"Gaussian":[83,103],"noise":[84,88,126,151],"component":[85],"component.":[89],"The":[90,116,161],"first":[91],"term":[92],"depicted":[94],"linear":[97],"combination":[98],"dictionary":[100,153],"elements,":[101],"where":[102],"Gamma":[106],"distribution":[107],"applied":[109],"to":[110,122],"impose":[111],"spatial":[112],"consistency":[113],"dictionary.":[115],"last":[117],"two":[118],"terms":[119],"utilized":[121],"fully":[123],"depict":[124],"characteristics.":[127],"Furthermore,":[128],"sparseness":[130],"model":[133,146],"adaptively":[135],"manifested":[136],"through":[137],"Beta-Bernoulli":[138],"process.":[139],"Calculated":[140],"Gibbs":[142],"sampler,":[143],"directly":[148],"predict":[149],"without":[154],"priori":[155],"degraded":[159],"HSI.":[160],"experimental":[162],"results":[163],"both":[165],"synthetic":[166],"real":[168],"demonstrate":[170],"that":[171],"better":[176],"suppress":[177],"existing":[179],"noises":[181],"preserve":[183],"structure/spectral-spatial":[185],"than":[187],"compared":[189],"state-of-art":[190],"approaches.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}