{"id":"https://openalex.org/W3152859353","doi":"https://doi.org/10.3390/rs13081473","title":"Sparse Constrained Low Tensor Rank Representation Framework for Hyperspectral Unmixing","display_name":"Sparse Constrained Low Tensor Rank Representation Framework for Hyperspectral Unmixing","publication_year":2021,"publication_date":"2021-04-11","ids":{"openalex":"https://openalex.org/W3152859353","doi":"https://doi.org/10.3390/rs13081473","mag":"3152859353"},"language":"en","primary_location":{"id":"doi:10.3390/rs13081473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081473","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1473/pdf?version=1618985853","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/2072-4292/13/8/1473/pdf?version=1618985853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082067789","display_name":"Le Dong","orcid":"https://orcid.org/0000-0003-1410-1534"},"institutions":[{"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"]},{"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/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Dong","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an 710119, China","Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi\u2019an 710072, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi\u2019an 710072, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100334733"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2636,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81718323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":"8","first_page":"1473","last_page":"1473"},"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":0.9976000189781189,"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":0.9937000274658203,"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":0.7451843619346619},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6553172469139099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6320160627365112},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5623130798339844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5290511846542358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5175865888595581},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5031158328056335},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.4994330406188965},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.49396973848342896},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.48325735330581665},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45814934372901917},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44091659784317017},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42491716146469116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3966979682445526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2783435881137848},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.13373616337776184},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08459687232971191},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08437639474868774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08175072073936462},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07490810751914978}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7451843619346619},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6553172469139099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6320160627365112},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5623130798339844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5290511846542358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5175865888595581},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5031158328056335},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.4994330406188965},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.49396973848342896},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.48325735330581665},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45814934372901917},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44091659784317017},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42491716146469116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3966979682445526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2783435881137848},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.13373616337776184},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08459687232971191},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08437639474868774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08175072073936462},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07490810751914978},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs13081473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081473","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1473/pdf?version=1618985853","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:cd6edcb55af14e58ac22525252359ac2","is_oa":true,"landing_page_url":"https://doaj.org/article/cd6edcb55af14e58ac22525252359ac2","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 8, p 1473 (2021)","raw_type":"article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/94694","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/94694","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:ir.opt.ac.cn:181661/94760","is_oa":false,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/94760","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/8/1473/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13081473","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 13; Issue 8; Pages: 1473","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13081473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081473","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1473/pdf?version=1618985853","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":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G11847706","display_name":null,"funder_award_id":"61632018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2210533046","display_name":null,"funder_award_id":"61825603","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G2513133394","display_name":null,"funder_award_id":"61825603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2546615675","display_name":null,"funder_award_id":"61632018","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3196644182","display_name":null,"funder_award_id":"U1864204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4955246279","display_name":null,"funder_award_id":"2018KJXX-024","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7024251363","display_name":null,"funder_award_id":"2020YFB2103902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8046557032","display_name":null,"funder_award_id":"61773316","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/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3152859353.pdf","grobid_xml":"https://content.openalex.org/works/W3152859353.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1576357034","https://openalex.org/W1582058549","https://openalex.org/W1976391658","https://openalex.org/W2009576740","https://openalex.org/W2032944446","https://openalex.org/W2040325979","https://openalex.org/W2041891835","https://openalex.org/W2056201402","https://openalex.org/W2071898616","https://openalex.org/W2101837437","https://openalex.org/W2116699851","https://openalex.org/W2136136087","https://openalex.org/W2157321686","https://openalex.org/W2566771666","https://openalex.org/W2566928557","https://openalex.org/W2593819072","https://openalex.org/W2605327034","https://openalex.org/W2741786247","https://openalex.org/W2755992512","https://openalex.org/W2791545889","https://openalex.org/W2803725643","https://openalex.org/W2896057526","https://openalex.org/W2901144234","https://openalex.org/W2901888865","https://openalex.org/W2904656448","https://openalex.org/W2910457605","https://openalex.org/W2910655660","https://openalex.org/W2914285447","https://openalex.org/W2948329096","https://openalex.org/W2966113161","https://openalex.org/W2974770574","https://openalex.org/W2988699317","https://openalex.org/W2991135466","https://openalex.org/W2994600591","https://openalex.org/W3012548728","https://openalex.org/W3016486620","https://openalex.org/W3031385348","https://openalex.org/W3033515593","https://openalex.org/W3047443805","https://openalex.org/W3083740088","https://openalex.org/W3097505512","https://openalex.org/W3101012758","https://openalex.org/W3117449134","https://openalex.org/W3132918311","https://openalex.org/W3148151826","https://openalex.org/W4383570979","https://openalex.org/W6668990524","https://openalex.org/W6853998767"],"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/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2969683494"],"abstract_inverted_index":{"Recently,":[0],"non-negative":[1],"tensor":[2,173],"factorization":[3],"(NTF)":[4],"as":[5],"a":[6,118,125,129,139],"very":[7],"powerful":[8],"tool":[9],"has":[10,134],"attracted":[11],"the":[12,20,42,53,66,81,88,111,150,155,168,171,178,183,187,197],"attention":[13],"of":[14,22,41,56,85,162,170,201],"researchers.":[15],"It":[16],"is":[17,97,145,174],"used":[18],"in":[19,64,76,87,149],"unmixing":[21,44,179,184],"hyperspectral":[23],"images":[24],"(HSI)":[25],"due":[26],"to":[27,50,110,181],"its":[28],"excellent":[29],"expression":[30],"ability":[31],"without":[32],"any":[33],"information":[34],"loss":[35],"when":[36],"describing":[37],"data.":[38],"However,":[39],"most":[40],"existing":[43],"methods":[45],"based":[46],"on":[47,191],"NTF":[48,151],"fail":[49],"fully":[51],"explore":[52,72],"unique":[54],"properties":[55],"data,":[57],"for":[58],"example,":[59],"low":[60],"rank,":[61],"that":[62],"exists":[63],"both":[65],"spectral":[67,126,157],"and":[68,91,102,128,147,158,199],"spatial":[69,90,123],"domains.":[70],"To":[71],"this":[73,77],"low-rank":[74,83,136,140],"structure,":[75],"paper":[78],"we":[79],"learn":[80],"different":[82],"representations":[84],"HSI":[86,96],"spectral,":[89],"non-local":[92,130,159],"similarity":[93,114,131,160],"modes.":[94],"Firstly,":[95],"divided":[98],"into":[99,177],"many":[100],"patches,":[101],"these":[103,163],"patches":[104],"are":[105],"clustered":[106],"multiple":[107],"groups":[108],"according":[109],"similarity.":[112],"Each":[113],"group":[115],"can":[116],"constitute":[117],"4-D":[119,164],"tensor,":[120],"including":[121],"two":[122],"modes,":[124],"mode":[127],"mode,":[132],"which":[133,153],"strong":[135],"properties.":[137],"Secondly,":[138],"regularization":[141],"with":[142,205],"logarithmic":[143],"function":[144],"designed":[146],"embedded":[148],"framework,":[152],"simulates":[154],"spatial,":[156],"modes":[161],"tensors.":[165],"In":[166],"addition,":[167],"sparsity":[169],"abundance":[172],"also":[175],"integrated":[176],"framework":[180],"improve":[182],"performance":[185],"through":[186],"L2,1":[188],"norm.":[189],"Experiments":[190],"three":[192],"real":[193],"data":[194],"sets":[195],"illustrate":[196],"stability":[198],"effectiveness":[200],"our":[202],"algorithm":[203],"compared":[204],"five":[206],"state-of-the-art":[207],"methods.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
