{"id":"https://openalex.org/W4385877729","doi":"https://doi.org/10.3390/rs15164056","title":"Robust Dual Spatial Weighted Sparse Unmixing for Remotely Sensed Hyperspectral Imagery","display_name":"Robust Dual Spatial Weighted Sparse Unmixing for Remotely Sensed Hyperspectral Imagery","publication_year":2023,"publication_date":"2023-08-16","ids":{"openalex":"https://openalex.org/W4385877729","doi":"https://doi.org/10.3390/rs15164056"},"language":"en","primary_location":{"id":"doi:10.3390/rs15164056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15164056","pdf_url":"https://www.mdpi.com/2072-4292/15/16/4056/pdf?version=1692189679","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/16/4056/pdf?version=1692189679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090973011","display_name":"Chengzhi Deng","orcid":"https://orcid.org/0000-0003-1605-7100"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Deng","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022254589","display_name":"Yonggang Chen","orcid":"https://orcid.org/0009-0001-5921-2564"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Chen","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002395584","display_name":"Shaoquan Zhang","orcid":"https://orcid.org/0000-0002-1454-9665"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoquan Zhang","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373534","display_name":"Fan Li","orcid":"https://orcid.org/0000-0001-5077-8118"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043148607","display_name":"Pengfei Lai","orcid":"https://orcid.org/0009-0000-1288-0971"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Lai","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076352599","display_name":"Dingli Su","orcid":"https://orcid.org/0000-0003-2713-0799"},"institutions":[{"id":"https://openalex.org/I4210120057","display_name":"Guangzhou Building Materials Institute","ror":"https://ror.org/02vg9gp47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120057"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingli Su","raw_affiliation_strings":["Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou 510440, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou 510440, China","institution_ids":["https://openalex.org/I4210120057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091586702","display_name":"Min Hu","orcid":"https://orcid.org/0000-0003-2122-0240"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Hu","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002188273","display_name":"Shengqian Wang","orcid":"https://orcid.org/0000-0001-9728-9995"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengqian Wang","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5002395584"],"corresponding_institution_ids":["https://openalex.org/I141103825"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7425,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86530184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"16","first_page":"4056","last_page":"4056"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9940999746322632,"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":0.9043950438499451},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7881755828857422},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6473250389099121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.645722508430481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6185979843139648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6044126152992249},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5425702929496765},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5196784138679504},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5134223699569702},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47047358751296997},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3438459038734436},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.30297404527664185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29928216338157654},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13675493001937866}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9043950438499451},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7881755828857422},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6473250389099121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.645722508430481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6185979843139648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6044126152992249},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5425702929496765},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5196784138679504},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5134223699569702},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47047358751296997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3438459038734436},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30297404527664185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29928216338157654},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13675493001937866},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15164056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15164056","pdf_url":"https://www.mdpi.com/2072-4292/15/16/4056/pdf?version=1692189679","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:311b1c27662043609d3d9cf3e35243ca","is_oa":true,"landing_page_url":"https://doaj.org/article/311b1c27662043609d3d9cf3e35243ca","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 16, p 4056 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/16/4056/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15164056","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":"Remote Sensing; Volume 15; Issue 16; Pages: 4056","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15164056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15164056","pdf_url":"https://www.mdpi.com/2072-4292/15/16/4056/pdf?version=1692189679","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385877729.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1964570608","https://openalex.org/W1981939910","https://openalex.org/W2004207873","https://openalex.org/W2012749606","https://openalex.org/W2027878671","https://openalex.org/W2059976262","https://openalex.org/W2070781258","https://openalex.org/W2084252873","https://openalex.org/W2087263574","https://openalex.org/W2095343758","https://openalex.org/W2118246710","https://openalex.org/W2125298866","https://openalex.org/W2126527280","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2140501674","https://openalex.org/W2153885347","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2164452299","https://openalex.org/W2340706123","https://openalex.org/W2591248827","https://openalex.org/W2606100861","https://openalex.org/W2617737158","https://openalex.org/W2741786247","https://openalex.org/W2743180144","https://openalex.org/W2767805377","https://openalex.org/W2773194520","https://openalex.org/W2792167075","https://openalex.org/W2810504629","https://openalex.org/W2898165830","https://openalex.org/W2904854801","https://openalex.org/W2950566305","https://openalex.org/W2985171336","https://openalex.org/W3002734626","https://openalex.org/W3024375667","https://openalex.org/W3031385348","https://openalex.org/W3033482004","https://openalex.org/W3075397214","https://openalex.org/W3080654851","https://openalex.org/W3092436149","https://openalex.org/W3135593238","https://openalex.org/W3136776645","https://openalex.org/W3165729427","https://openalex.org/W3166330239","https://openalex.org/W3176664940","https://openalex.org/W3198480870","https://openalex.org/W3198761571","https://openalex.org/W3201734132","https://openalex.org/W3203576739","https://openalex.org/W3206058291","https://openalex.org/W4205264201","https://openalex.org/W4210628037","https://openalex.org/W4214854488","https://openalex.org/W4225883632","https://openalex.org/W4233760599","https://openalex.org/W4285232409","https://openalex.org/W4312610008","https://openalex.org/W6757540415","https://openalex.org/W6797557418","https://openalex.org/W6801268348","https://openalex.org/W6801595013","https://openalex.org/W6803000548","https://openalex.org/W6808926636","https://openalex.org/W6810507121","https://openalex.org/W6839013382","https://openalex.org/W6847949110"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2890371384","https://openalex.org/W2315521504","https://openalex.org/W2006559622","https://openalex.org/W2040756827","https://openalex.org/W2051769241","https://openalex.org/W2773863718"],"abstract_inverted_index":{"Sparse":[0],"unmixing":[1,12,40,64,74,95,118,148,161,195,225,296,326,331],"plays":[2],"a":[3,28,44,111,163,198,294],"crucial":[4],"role":[5],"in":[6,31,50,136,210,234,276,281,328],"the":[7,15,55,72,83,100,132,137,142,147,151,173,179,192,204,216,224,235,240,247,254,264,268,277,286,303,315,336],"field":[8],"of":[9,17,68,86,102,144,183,220,243,256,263,270,285,307,330],"hyperspectral":[10,36,51,77,125,138,184,221,265,343],"image":[11,126],"technology,":[13],"leveraging":[14],"availability":[16],"pre-existing":[18],"endmember":[19],"spectral":[20],"libraries.":[21],"In":[22],"recent":[23],"years,":[24],"there":[25],"has":[26,121],"been":[27,122],"growing":[29],"trend":[30],"incorporating":[32],"spatial":[33,46,56,115,133,166,181,200,218,229,273],"information":[34,57,134],"from":[35],"images":[37,52,78,139,222],"into":[38],"sparse":[39,63,73,94,117,160,194,295,325],"models.":[41],"There":[42],"is":[43,58,89,156,169,232,293],"strong":[45],"correlation":[47],"between":[48],"pixels":[49],"(that":[53],"is,":[54],"very":[59],"rich),":[60],"and":[61,97,213,341],"many":[62],"algorithms":[65,327],"take":[66],"advantage":[67],"this":[69,109],"to":[70,81,140,171,177,238],"improve":[71],"effect.":[75],"Since":[76],"are":[79],"susceptible":[80],"noise,":[82,174],"feature":[84],"separability":[85],"ground":[87],"objects":[88],"reduced,":[90],"which":[91,155,189,292],"makes":[92],"most":[93],"methods":[96],"models":[98],"face":[99],"risk":[101],"degradation":[103],"or":[104],"even":[105],"failure.":[106],"To":[107],"address":[108],"challenge,":[110],"novel":[112],"robust":[113],"dual":[114],"weighted":[116],"algorithm":[119,129,237,279],"(RDSWSU)":[120],"proposed":[123,152,319],"for":[124,313],"unmixing.":[127],"This":[128,207,250],"effectively":[130],"utilizes":[131],"present":[135],"mitigate":[141],"impact":[143],"noise":[145,211],"during":[146],"process.":[149,226],"For":[150],"RDSWSU":[153,187,236,278,290,320],"algorithm,":[154,188,291],"based":[157],"on":[158,339],"\u21131":[159,193],"framework,":[162,196],"pre-calculated":[164,199],"superpixel":[165,205],"weighting":[167,201,230,274],"factor":[168,202,208,231,251],"used":[170],"smooth":[172,258],"so":[175],"as":[176,333],"maintain":[178],"original":[180],"structure":[182,219],"images.":[185],"The":[186,289,318],"builds":[190],"upon":[191],"employs":[197],"at":[203,246],"level.":[206,249],"aids":[209],"smoothing":[212],"helps":[214,252],"preserve":[215],"inherent":[217],"throughout":[223],"Additionally,":[227],"another":[228],"utilized":[233],"capture":[239],"local":[241],"smoothness":[242],"abundance":[244,287],"maps":[245],"sub-region":[248],"enhance":[253],"representation":[255],"piecewise":[257],"variations":[259],"within":[260],"different":[261],"regions":[262],"image.":[266],"Specifically,":[267],"combination":[269],"these":[271],"two":[272],"factors":[275],"results":[280,338],"an":[282,299],"enhanced":[283],"sparsity":[284],"matrix.":[288],"model,":[297],"offers":[298],"effective":[300],"solution":[301],"using":[302],"alternating":[304],"direction":[305],"method":[306,321],"multiplier":[308],"(ADMM)":[309],"with":[310],"reduced":[311],"requirements":[312],"tuning":[314],"regularization":[316],"parameter.":[317],"outperforms":[322],"other":[323],"advanced":[324],"terms":[329],"performance,":[332],"demonstrated":[334],"by":[335],"experimental":[337],"synthetic":[340],"real":[342],"datasets.":[344]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2023-08-17T00:00:00"}