{"id":"https://openalex.org/W4319866035","doi":"https://doi.org/10.1109/tgrs.2023.3241115","title":"Adaptive Hypergraph Regularized Multilayer Sparse Tensor Factorization for Hyperspectral Unmixing","display_name":"Adaptive Hypergraph Regularized Multilayer Sparse Tensor Factorization for Hyperspectral Unmixing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319866035","doi":"https://doi.org/10.1109/tgrs.2023.3241115"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3241115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3241115","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5015022124","display_name":"Pan Zheng","orcid":"https://orcid.org/0000-0002-1302-6774"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zheng","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1302-6774","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019014062","display_name":"Hongjun Su","orcid":"https://orcid.org/0000-0002-8991-8568"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Su","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8991-8568","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027482750","display_name":"Hongliang L\u00fc","orcid":"https://orcid.org/0000-0001-5129-8423"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Lu","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5129-8423","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"raw_orcid":"https://orcid.org/0000-0001-8354-7500","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":1.242,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79617942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"18"},"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":0.9940000176429749,"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":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9063337445259094},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8171589374542236},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.655062198638916},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5963158011436462},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5898319482803345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.559881865978241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49416854977607727},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4771513342857361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46474072337150574},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46305322647094727},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.4584471881389618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4529586434364319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4125407934188843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3640148639678955},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.25605714321136475},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11459207534790039},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07815402746200562}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9063337445259094},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8171589374542236},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.655062198638916},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5963158011436462},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5898319482803345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.559881865978241},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49416854977607727},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4771513342857361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46474072337150574},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46305322647094727},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.4584471881389618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4529586434364319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4125407934188843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3640148639678955},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.25605714321136475},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11459207534790039},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07815402746200562},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/tgrs.2023.3241115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3241115","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3103394634","display_name":null,"funder_award_id":"41871220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8830056459","display_name":null,"funder_award_id":"42122008","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1524571335","https://openalex.org/W1661328078","https://openalex.org/W1964570608","https://openalex.org/W1976615758","https://openalex.org/W1980763639","https://openalex.org/W1993482030","https://openalex.org/W2027878671","https://openalex.org/W2029786966","https://openalex.org/W2063069198","https://openalex.org/W2063790512","https://openalex.org/W2087263574","https://openalex.org/W2101837437","https://openalex.org/W2107222994","https://openalex.org/W2114486983","https://openalex.org/W2116776498","https://openalex.org/W2126527280","https://openalex.org/W2127934268","https://openalex.org/W2140219630","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2165755981","https://openalex.org/W2168586182","https://openalex.org/W2171520281","https://openalex.org/W2318512420","https://openalex.org/W2324784787","https://openalex.org/W2340706123","https://openalex.org/W2464427950","https://openalex.org/W2566771666","https://openalex.org/W2766946289","https://openalex.org/W2774517539","https://openalex.org/W2782517596","https://openalex.org/W2893348249","https://openalex.org/W2896057526","https://openalex.org/W2919868964","https://openalex.org/W2940678725","https://openalex.org/W2976068290","https://openalex.org/W3002098459","https://openalex.org/W3026587394","https://openalex.org/W3031730338","https://openalex.org/W3035015656","https://openalex.org/W3111212275","https://openalex.org/W3118755085","https://openalex.org/W3121070394","https://openalex.org/W3133744039","https://openalex.org/W3139578059","https://openalex.org/W3143531750","https://openalex.org/W3171243408","https://openalex.org/W3173675588","https://openalex.org/W3191251640","https://openalex.org/W3199351457","https://openalex.org/W3206058291","https://openalex.org/W4205264201","https://openalex.org/W4206698887","https://openalex.org/W4210330613","https://openalex.org/W4233760599","https://openalex.org/W4250699182","https://openalex.org/W4292363360","https://openalex.org/W4392677642","https://openalex.org/W6746968042"],"related_works":["https://openalex.org/W2044594927","https://openalex.org/W2944456085","https://openalex.org/W2765805597","https://openalex.org/W2776964412","https://openalex.org/W2041140196","https://openalex.org/W2501002973","https://openalex.org/W3045351696","https://openalex.org/W2028051535","https://openalex.org/W1966175096","https://openalex.org/W4319866035"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,121],"with":[2,125],"tensor":[3,44,57,143],"models":[4],"has":[5],"received":[6],"great":[7],"attention":[8],"in":[9],"recent":[10],"years.":[11],"A":[12],"tensor-based":[13],"decomposition":[14,98,144],"method":[15,138],"can":[16],"effectively":[17],"represent":[18,77],"the":[19,26,60,78,85,94,103,120,126,136,150,156,170,173],"structural":[20],"feature":[21],"of":[22,69,96,106,129,158,172],"hyperspectral":[23,107,167],"images;":[24],"however,":[25],"obtained":[27],"results":[28,122],"may":[29],"be":[30],"physically":[31],"uninterpretable.":[32],"To":[33],"overcome":[34],"this":[35],"limitation,":[36],"a":[37,51,110,140],"novel":[38],"adaptive":[39],"hypergraph":[40,53,62,86],"regularized":[41],"multilayer":[42,97],"sparse":[43,111],"factorization":[45],"(AHGMLSTF)":[46],"algorithm":[47],"is":[48,54,87,99,113],"proposed.":[49],"First,":[50],"modified":[52,61],"incorporated":[55],"into":[56],"factorization,":[58],"and":[59,81,109,165],"uses":[63],"spectral":[64,82,131],"angle":[65],"distance":[66,71],"(SAD)":[67],"instead":[68],"Euclidean":[70],"to":[72,75,101,118],"construct":[73],"hyperedges":[74,91],"better":[76],"joint":[79,142],"spatial":[80],"information.":[83],"Then,":[84],"constructed":[88],"adaptively":[89],"by":[90],"of$k$neighborhoods.":[92],"Second,":[93],"concept":[95],"introduced":[100],"explore":[102],"hierarchical":[104],"features":[105],"images,":[108],"constraint":[112],"imposed":[114],"on":[115,162],"each":[116],"layer":[117],"make":[119],"more":[123],"consistent":[124],"physical":[127],"mechanism":[128],"mixed":[130],"pixels.":[132],"With":[133],"these":[134],"constraints,":[135],"proposed":[137,174],"established":[139],"spectral\u2013spatial":[141],"model":[145],"that":[146],"represents":[147],"not":[148],"only":[149],"local":[151],"neighborhood":[152],"similarity":[153],"but":[154],"also":[155],"heterogeneity":[157],"adjacent":[159],"edges.":[160],"Experiments":[161],"simulated":[163],"data":[164,168],"real":[166],"demonstrate":[169],"effectiveness":[171],"method.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
