{"id":"https://openalex.org/W3195512098","doi":"https://doi.org/10.1109/lgrs.2021.3103962","title":"Blind Unmixing of Hyperspectral Images Based on <i>L</i> <sub>1</sub> Norm and Tucker Tensor Decomposition","display_name":"Blind Unmixing of Hyperspectral Images Based on <i>L</i> <sub>1</sub> Norm and Tucker Tensor Decomposition","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195512098","doi":"https://doi.org/10.1109/lgrs.2021.3103962","mag":"3195512098"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3103962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103962","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/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048500233","display_name":"Huxiang Guo","orcid":"https://orcid.org/0000-0001-6413-5279"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huxiang Guo","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6413-5279","affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.6359,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66412116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8922548294067383},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.6733145713806152},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.6134324073791504},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5437543988227844},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5266653895378113},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4951256811618805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44125962257385254},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4368826746940613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40454351902008057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38271626830101013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3614840805530548},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17020177841186523},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.15427681803703308},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08205094933509827},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.06855902075767517}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8922548294067383},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.6733145713806152},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.6134324073791504},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5437543988227844},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5266653895378113},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4951256811618805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44125962257385254},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4368826746940613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40454351902008057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38271626830101013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3614840805530548},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17020177841186523},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.15427681803703308},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08205094933509827},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.06855902075767517},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3103962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103962","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/G7317382233","display_name":null,"funder_award_id":"U1831127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7699947468","display_name":null,"funder_award_id":"61971233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8902066565","display_name":null,"funder_award_id":"62076137","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964570608","https://openalex.org/W2027878671","https://openalex.org/W2059976262","https://openalex.org/W2074734447","https://openalex.org/W2125298866","https://openalex.org/W2127062304","https://openalex.org/W2131614384","https://openalex.org/W2469230926","https://openalex.org/W2597785157","https://openalex.org/W2991135466","https://openalex.org/W2994600591","https://openalex.org/W3083760513","https://openalex.org/W4392677642"],"related_works":["https://openalex.org/W2116776498","https://openalex.org/W2891735857","https://openalex.org/W4214526161","https://openalex.org/W47805180","https://openalex.org/W2093953080","https://openalex.org/W2564982703","https://openalex.org/W3127610061","https://openalex.org/W2891277085","https://openalex.org/W2347172331","https://openalex.org/W3216281372"],"abstract_inverted_index":{"Most":[0],"of":[1,18,45,69,78,87,130],"the":[2,10,15,41,66,76,84,102,117,124,137,145,149,157],"traditional":[3],"hyperspectral":[4,19,32],"unmixing":[5,49,105],"methods":[6,26],"are":[7],"based":[8,53],"on":[9,54,96],"matrix":[11],"and":[12,57,82,136,156],"often":[13],"ignore":[14],"spatial":[16,43],"information":[17],"images":[20],"(HSIs).":[21],"In":[22,144],"recent":[23],"years,":[24],"tensor-based":[25],"have":[27],"been":[28],"gradually":[29],"used":[30],"in":[31,75,116],"unmixing,":[33],"owing":[34],"to":[35,38],"their":[36],"ability":[37],"completely":[39],"preserve":[40],"real":[42],"structure":[44],"HSIs.":[46],"A":[47,91],"blind":[48],"method":[50,104],"for":[51,112],"HSIs":[52],"an$L_{1}$regular":[55],"term":[56],"tucker":[58,72],"tensor":[59,73,81,108],"decomposition":[60,74],"(BUTTDL1)":[61],"is":[62,94,132,140,152,160],"proposed,":[63],"which":[64],"describes":[65],"low":[67],"rank":[68],"abundance":[70,88,138,158],"by":[71,89,134,142,154,162],"form":[77],"a":[79],"third-order":[80],"increases":[83],"sparse":[85],"characterization":[86],"the$L_{1}$norm.":[90],"comparative":[92],"experiment":[93],"performed":[95],"two":[97],"simulation":[98,118,146],"datasets.":[99],"Compared":[100],"with":[101,106],"latest":[103],"low-rank":[107],"regularization":[109],"algorithm":[110],"accounting":[111],"endmembers":[113],"variability":[114],"(ULTRA-V),":[115],"dataset":[119,147],"Data":[120],"Cube":[121],"1":[122],"(DC1),":[123],"endmember":[125,150],"mean":[126],"square":[127],"error":[128],"(MSE)":[129],"BUTTDL1":[131],"decreased":[133,141,153,161],"1.1,":[135],"MSE":[139,151,159],"8.6.":[143],"DC2,":[148],"2.4,":[155],"6.63.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}