{"id":"https://openalex.org/W3113660648","doi":"https://doi.org/10.1109/lgrs.2020.3043402","title":"Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery","display_name":"Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3113660648","doi":"https://doi.org/10.1109/lgrs.2020.3043402","mag":"3113660648"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3043402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3043402","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/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE","FR"],"is_corresponding":true,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","GIPSA-lab, Grenoble INP, CNRS, Universit\u00e9 Grenoble Alpes, Grenoble, France; Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"GIPSA-lab, Grenoble INP, CNRS, Universit\u00e9 Grenoble Alpes, Grenoble, France; Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I106785703","https://openalex.org/I2898391981","https://openalex.org/I4210124956","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761149","display_name":"Xin Wu","orcid":"https://orcid.org/0000-0002-1733-3560"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China","Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China; School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China; School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","[Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China (e-mail: gaolr@aircas.ac.cn)]"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China (e-mail: gaolr@aircas.ac.cn)]","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; INRIA, CNRS, Grenoble INP, LJK, Universit\u00e9 Grenoble Alpes, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; INRIA, CNRS, Grenoble INP, LJK, Universit\u00e9 Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I4210149092","https://openalex.org/I1294671590","https://openalex.org/I106785703","https://openalex.org/I1326498283","https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075013625"],"corresponding_institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I2898391981","https://openalex.org/I4210124956","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.2984872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8528172969818115},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.785019040107727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519355416297913},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6651869416236877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6534809470176697},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6487332582473755},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6142852902412415},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5391644835472107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49939393997192383},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4804922342300415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4294763505458832},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4240020215511322},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3258374333381653},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.19110643863677979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1566067934036255},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07871317863464355}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8528172969818115},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.785019040107727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519355416297913},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6651869416236877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534809470176697},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6487332582473755},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6142852902412415},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5391644835472107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49939393997192383},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4804922342300415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4294763505458832},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4240020215511322},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3258374333381653},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.19110643863677979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1566067934036255},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07871317863464355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3043402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3043402","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":[],"awards":[{"id":"https://openalex.org/G139250805","display_name":null,"funder_award_id":"2016YFB0500502","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3584013848","display_name":null,"funder_award_id":"41722108","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/F4320321048","display_name":"AXA Research Fund","ror":"https://ror.org/02zxqxw53"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1993699518","https://openalex.org/W2027922120","https://openalex.org/W2046004250","https://openalex.org/W2157321686","https://openalex.org/W2159689645","https://openalex.org/W2164278908","https://openalex.org/W2625894731","https://openalex.org/W2755992512","https://openalex.org/W2902746003","https://openalex.org/W2907147407","https://openalex.org/W2943781490","https://openalex.org/W2952565170","https://openalex.org/W2977355106","https://openalex.org/W3036200672","https://openalex.org/W3046027728","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3101012758","https://openalex.org/W3104313739","https://openalex.org/W3105021316","https://openalex.org/W3122774149","https://openalex.org/W3167507564","https://openalex.org/W6795746727"],"related_works":["https://openalex.org/W2084145074","https://openalex.org/W2771430809","https://openalex.org/W2160357252","https://openalex.org/W2793063187","https://openalex.org/W4206417246","https://openalex.org/W2090253159","https://openalex.org/W2800819245","https://openalex.org/W2969881582","https://openalex.org/W2905390890","https://openalex.org/W2800266504"],"abstract_inverted_index":{"Owing":[0],"to":[1,31,36,61,90,128,149],"easy":[2],"acquisition":[3],"and":[4,136,142],"large":[5],"coverage":[6],"from":[7,133],"the":[8,24,40,63,70,80,116,151,173,176,181],"space,":[9],"multispectral":[10],"(MS)":[11],"imaging":[12],"has":[13],"garnered":[14],"growing":[15],"interest":[16],"in":[17,38,165,180],"various":[18],"applications":[19,148],"of":[20,28,66,72,82,109,153,175,183],"remote":[21],"sensing.":[22],"However,":[23],"limited":[25],"spectral":[26,64,84,154,184],"information":[27],"MS":[29,67,134],"data,":[30],"a":[32,75,123],"great":[33],"extent,":[34],"leads":[35],"difficulties":[37],"classifying":[39],"materials":[41,73],"more":[42,76],"accurately,":[43],"particularly":[44],"for":[45,96,119],"those":[46],"classes":[47],"that":[48],"have":[49],"very":[50],"similar":[51],"visual":[52],"appearances.":[53],"To":[54],"address":[55],"this":[56],"issue":[57],"effectively,":[58],"we":[59,88],"attempt":[60],"enhance":[62],"resolution":[65],"imagery,":[68],"enabling":[69],"identification":[71],"at":[74],"precise":[77],"level":[78],"by":[79,114],"means":[81],"richer":[83],"information.":[85],"More":[86],"specifically,":[87],"propose":[89],"learn":[91],"locality-constrained":[92],"sparse":[93],"coding":[94],"(LCSC)":[95],"short,":[97],"on":[98,160],"partially":[99,137],"overlapped":[100,138],"hyperspectral":[101],"(HS)-MS":[102],"pairs":[103],"(i.e.,":[104],"dictionary).":[105],"LCSC":[106,178],"is":[107],"capable":[108],"capturing":[110],"neighboring":[111],"relations":[112],"well":[113],"enforcing":[115],"local":[117],"constraint":[118],"each":[120],"pixel.":[121],"Such":[122],"strategy":[124],"makes":[125],"it":[126],"possible":[127],"better":[129],"reconstruct":[130],"HS":[131,139],"products":[132],"images":[135],"images.":[140],"Reconstruction":[141],"unmixing":[143],"are":[144,158],"explored":[145],"as":[146],"potential":[147],"assess":[150],"performance":[152],"enhancement.":[155,185],"Extensive":[156],"experiments":[157],"conducted":[159],"two":[161],"HS-MS":[162],"data":[163],"sets":[164],"comparison":[166],"with":[167],"several":[168],"state-of-the-art":[169],"baselines,":[170],"which":[171],"demonstrate":[172],"effectiveness":[174],"proposed":[177],"algorithm":[179],"task":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
