{"id":"https://openalex.org/W3045351696","doi":"https://doi.org/10.1109/jstars.2020.3011257","title":"Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing","display_name":"Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045351696","doi":"https://doi.org/10.1109/jstars.2020.3011257","mag":"3045351696"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3011257","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3011257","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146211.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146211.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058737960","display_name":"Lei Zhou","orcid":"https://orcid.org/0000-0003-0860-0724"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736568","display_name":"Xueni Zhang","orcid":"https://orcid.org/0000-0003-1755-1637"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueni Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338007","display_name":"Jianbo Wang","orcid":"https://orcid.org/0000-0002-7756-8951"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Wang","raw_affiliation_strings":["First Clinical Medical College of Nanchang University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"First Clinical Medical College of Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790836","display_name":"Xiao Bai","orcid":"https://orcid.org/0000-0001-8561-9299"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564188","display_name":"Lei Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tong","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425268","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0003-1566-4902"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Jiangxi Research Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Nathan, Qld, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Nathan, Qld, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074364400","display_name":"Edwin R. Hancock","orcid":"https://orcid.org/0000-0003-4496-2028"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edwin Hancock","raw_affiliation_strings":["Department of Computer Science, University of York, York, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, York, U.K","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5058737960"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":5.5419,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96160619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"4257","last_page":"4270"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962000250816345,"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":0.9943000078201294,"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":0.9012174606323242},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7590839862823486},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7515293955802917},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7426629066467285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6251921057701111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176961660385132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5807359218597412},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5433709025382996},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5356409549713135},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5326843857765198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33457207679748535},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.14179018139839172},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09183847904205322}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9012174606323242},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7590839862823486},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7515293955802917},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7426629066467285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6251921057701111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176961660385132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5807359218597412},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5433709025382996},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5356409549713135},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5326843857765198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33457207679748535},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.14179018139839172},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09183847904205322},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/jstars.2020.3011257","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3011257","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146211.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:163748","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.whiterose.ac.uk/163748/1/09146211.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:142d3a368e77416fb8c2435de0cc03f3","is_oa":true,"landing_page_url":"https://doaj.org/article/142d3a368e77416fb8c2435de0cc03f3","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4257-4270 (2020)","raw_type":"article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/396538","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/396538","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"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":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3011257","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3011257","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146211.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G2084220824","display_name":null,"funder_award_id":"4202039","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7427367477","display_name":null,"funder_award_id":"61772057","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045351696.pdf","grobid_xml":"https://content.openalex.org/works/W3045351696.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1246381107","https://openalex.org/W1555549210","https://openalex.org/W1902027874","https://openalex.org/W1963659868","https://openalex.org/W1964570608","https://openalex.org/W1967381020","https://openalex.org/W1997201895","https://openalex.org/W2002469984","https://openalex.org/W2013648735","https://openalex.org/W2029786966","https://openalex.org/W2032944446","https://openalex.org/W2045079989","https://openalex.org/W2054854521","https://openalex.org/W2063069198","https://openalex.org/W2065548527","https://openalex.org/W2103972604","https://openalex.org/W2107120407","https://openalex.org/W2116216716","https://openalex.org/W2118718620","https://openalex.org/W2118943995","https://openalex.org/W2127062304","https://openalex.org/W2135029798","https://openalex.org/W2136171036","https://openalex.org/W2145554279","https://openalex.org/W2157321686","https://openalex.org/W2313932751","https://openalex.org/W2344025572","https://openalex.org/W2396056163","https://openalex.org/W2490201121","https://openalex.org/W2545029332","https://openalex.org/W2566928557","https://openalex.org/W2604977491","https://openalex.org/W2741786247","https://openalex.org/W2761336374","https://openalex.org/W2766106970","https://openalex.org/W2772226559","https://openalex.org/W2781745664","https://openalex.org/W2789643644","https://openalex.org/W2793237446","https://openalex.org/W2893348249","https://openalex.org/W2898165830","https://openalex.org/W2911419410","https://openalex.org/W2913942978","https://openalex.org/W2950566305","https://openalex.org/W2963365397","https://openalex.org/W2963675488","https://openalex.org/W2964837208","https://openalex.org/W2972555443","https://openalex.org/W2976068290","https://openalex.org/W2999482976","https://openalex.org/W3005148902","https://openalex.org/W3100234884","https://openalex.org/W3102274762","https://openalex.org/W3143596294","https://openalex.org/W6603183647","https://openalex.org/W6633261909","https://openalex.org/W6650959359","https://openalex.org/W6675750237","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6744043827"],"related_works":["https://openalex.org/W4308269461","https://openalex.org/W4281395053","https://openalex.org/W2020769413","https://openalex.org/W2766940489","https://openalex.org/W2754199428","https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,117,138],"is":[2,105,176,185],"a":[3,19,30,40,88,115,121,179],"crucial":[4],"task":[5],"for":[6],"hyperspectral":[7],"images":[8],"(HSIs)":[9],"processing,":[10],"which":[11,70,184],"estimates":[12],"the":[13,23,84,93,99,125,132,142,150,153,159,167,173,191,206],"proportions":[14],"of":[15,18,102,145,163,170,209],"constituent":[16],"materials":[17,64,103],"mixed":[20,24],"pixel.":[21],"Usually,":[22],"pixels":[25,42,164],"can":[26,71,157],"be":[27,72,188],"approximated":[28],"using":[29],"linear":[31],"mixing":[32],"model.":[33,79],"Since":[34],"each":[35],"material":[36],"only":[37,82],"occurs":[38],"in":[39,43,67,107,149,190],"few":[41],"real":[44,100,168],"HSI,":[45],"sparse":[46,77,133],"nonnegative":[47],"matrix":[48],"factorization":[49],"(NMF),":[50],"and":[51,91,128,201],"its":[52],"extensions":[53],"are":[54,65],"widely":[55],"used":[56,177],"as":[57,74,178],"solutions.":[58],"Some":[59],"recent":[60],"works":[61],"assume":[62],"that":[63,104,119,165],"distributed":[66],"certain":[68],"structures,":[69],"added":[73],"constraints":[75],"to":[76,136,187],"NMF":[78,134],"However,":[80],"they":[81],"consider":[83],"spatial":[85,182],"distribution":[86,94,101,169],"within":[87],"local":[89],"neighborhood":[90],"define":[92],"structure":[95,123,156],"manually,":[96],"while":[97],"ignoring":[98],"diverse":[106],"different":[108],"images.":[109],"In":[110],"this":[111],"article,":[112],"we":[113],"propose":[114],"new":[116],"method":[118],"learns":[120],"subspace":[122,155],"from":[124],"original":[126],"image":[127],"incorporate":[129],"it":[130],"into":[131],"framework":[135],"promote":[137],"performance.":[139],"Based":[140],"on":[141,198],"self-representation":[143],"property":[144],"data":[146],"points":[147],"lying":[148],"same":[151],"subspace,":[152],"learned":[154],"indicate":[158],"global":[160,181],"similar":[161,174],"graph":[162,175],"represents":[166],"materials.":[171],"Then":[172],"robust":[180],"prior":[183],"expected":[186],"maintained":[189],"decomposed":[192],"abundance":[193],"matrix.":[194],"The":[195],"experiments":[196],"conducted":[197],"both":[199],"simulated":[200],"real-world":[202],"HSI":[203],"datasets":[204],"demonstrate":[205],"superior":[207],"performance":[208],"our":[210],"proposed":[211],"method.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}