{"id":"https://openalex.org/W2766159201","doi":"https://doi.org/10.1109/access.2017.2768580","title":"A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising","display_name":"A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2766159201","doi":"https://doi.org/10.1109/access.2017.2768580","mag":"2766159201"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2768580","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2768580","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2768580","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["CN","KR"],"is_corresponding":true,"raw_author_name":"Le Sun","raw_affiliation_strings":["Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074587654","display_name":"Byeungwoo Jeon","orcid":"https://orcid.org/0000-0002-5650-2881"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeungwoo Jeon","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087119507","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-1709-3093"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059068224"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I848706"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7558,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91387005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":null,"first_page":"27172","last_page":"27188"},"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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9896000027656555,"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":0.8728561401367188},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6670449376106262},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6254691481590271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147944927215576},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5575298070907593},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5553490519523621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5323574542999268},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.520724356174469},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.5054938793182373},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.46675848960876465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4403538703918457},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.43524783849716187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4273717403411865},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.42457693815231323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37142491340637207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3564484119415283}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8728561401367188},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6670449376106262},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6254691481590271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147944927215576},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5575298070907593},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5553490519523621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5323574542999268},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.520724356174469},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.5054938793182373},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.46675848960876465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4403538703918457},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.43524783849716187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4273717403411865},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.42457693815231323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37142491340637207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3564484119415283},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2768580","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2768580","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:903dcdd3c572464a96dd82d6d9308c91","is_oa":true,"landing_page_url":"https://doaj.org/article/903dcdd3c572464a96dd82d6d9308c91","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":"IEEE Access, Vol 5, Pp 27172-27188 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2768580","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2768580","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1177301654","display_name":null,"funder_award_id":"61601236","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4004791824","display_name":null,"funder_award_id":"BK20150923","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4706059794","display_name":null,"funder_award_id":"NRF-2016R1D1A1B03934305","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4952165011","display_name":null,"funder_award_id":"61471199","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6337914382","display_name":null,"funder_award_id":"61402235","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6661504850","display_name":null,"funder_award_id":"NRF-2017R1A2B2006518","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6954358889","display_name":null,"funder_award_id":"61571230","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1928626817","https://openalex.org/W1940446886","https://openalex.org/W1944540851","https://openalex.org/W1964570608","https://openalex.org/W1969760160","https://openalex.org/W1974438823","https://openalex.org/W1974933922","https://openalex.org/W1979730959","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W1998680950","https://openalex.org/W2033849598","https://openalex.org/W2037461746","https://openalex.org/W2039596145","https://openalex.org/W2053419820","https://openalex.org/W2053514113","https://openalex.org/W2056370875","https://openalex.org/W2057374579","https://openalex.org/W2069889146","https://openalex.org/W2070262806","https://openalex.org/W2082590963","https://openalex.org/W2082600204","https://openalex.org/W2087263574","https://openalex.org/W2091494211","https://openalex.org/W2098900561","https://openalex.org/W2107799335","https://openalex.org/W2109115094","https://openalex.org/W2113464037","https://openalex.org/W2119993761","https://openalex.org/W2127077132","https://openalex.org/W2133665775","https://openalex.org/W2136625467","https://openalex.org/W2141983208","https://openalex.org/W2161018415","https://openalex.org/W2161073299","https://openalex.org/W2170410701","https://openalex.org/W2237974960","https://openalex.org/W2293524743","https://openalex.org/W2329868263","https://openalex.org/W2464748116","https://openalex.org/W2553201531","https://openalex.org/W2586451513","https://openalex.org/W2617982036","https://openalex.org/W2680266605","https://openalex.org/W2764205729"],"related_works":["https://openalex.org/W4386427838","https://openalex.org/W2318111460","https://openalex.org/W2073144795","https://openalex.org/W2911259277","https://openalex.org/W2889956472","https://openalex.org/W2321358738","https://openalex.org/W2548711520","https://openalex.org/W337157628","https://openalex.org/W2118486652","https://openalex.org/W2157439701"],"abstract_inverted_index":{"Due":[0],"to":[1,52,89,112,123,135],"atmospheric":[2],"effects":[3],"and":[4,16,25,65,94,99,117,151],"secondary":[5],"illumination,":[6],"hyperspectral":[7],"images":[8],"(HSIs)":[9],"usually":[10],"suffer":[11],"from":[12],"system":[13],"noises,":[14],"stripes,":[15],"dead":[17],"pixels,":[18],"which":[19,77],"greatly":[20],"degrade":[21],"the":[22,27,30,57,66,73,91,96,107,114,118,137,156,159],"imaging":[23],"quality":[24],"limit":[26],"precision":[28],"of":[29,84,130,158],"subsequent":[31],"processing.":[32],"In":[33],"this":[34],"paper,":[35],"a":[36,62],"novel":[37],"HSI":[38,58,85],"mixed":[39],"denoising":[40],"method":[41,129],"based":[42],"on":[43,72,149],"3-D":[44,63],"spectral-spatial":[45,108],"cross":[46,82,119],"total":[47],"variation":[48],"(TV)":[49],"is":[50,59,87,110,132],"proposed":[51,138,160],"overcome":[53],"such":[54],"problem.":[55],"First,":[56],"treated":[60,80],"as":[61,81],"cube,":[64,86],"TV":[67,83,120],"with":[68],"2-D":[69],"spatial":[70,92,125],"directions":[71],"spectral":[74,97],"difference":[75],"images,":[76],"could":[78],"be":[79],"minimized":[88],"enhance":[90],"smoothness":[93],"exploit":[95],"redundancy":[98],"correlation.":[100],"Second,":[101],"an":[102],"adaptive":[103],"mechanism":[104],"for":[105],"calculating":[106],"weights":[109],"adopted":[111],"balance":[113],"fidelity":[115],"term":[116],"regularization":[121],"according":[122],"different":[124],"structures.":[126],"Alternating":[127],"direction":[128],"multipliers":[131],"finally":[133],"extended":[134],"solve":[136],"model":[139],"by":[140],"separating":[141],"it":[142],"into":[143],"several":[144],"simpler":[145],"subproblems.":[146],"Experimental":[147],"results":[148],"simulated":[150],"real-HSI":[152],"data":[153],"sets":[154],"validated":[155],"effectiveness":[157],"method.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":11}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}