{"id":"https://openalex.org/W2990334559","doi":"https://doi.org/10.1109/igarss.2019.8898512","title":"Weighted Blind \u2113<sub>q</sub>Hyperspectral Unmixing","display_name":"Weighted Blind \u2113<sub>q</sub>Hyperspectral Unmixing","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2990334559","doi":"https://doi.org/10.1109/igarss.2019.8898512","mag":"2990334559"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079644472","display_name":"Jakob Sigur\u00f0sson","orcid":"https://orcid.org/0000-0002-4978-9722"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Jakob Sigurdsson","raw_affiliation_strings":["Dept. Electrical Eng., University of Iceland, Reykjavik, ICELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng., University of Iceland, Reykjavik, ICELAND","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069292094","display_name":"Magn\u00fas \u00d6. \u00dalfarsson","orcid":"https://orcid.org/0000-0002-0461-040X"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Magnus O. Ulfarsson","raw_affiliation_strings":["Dept. Electrical Eng., University of Iceland, Reykjavik, ICELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng., University of Iceland, Reykjavik, ICELAND","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008277487","display_name":"J\u00f3hannes R. Sveinsson","orcid":"https://orcid.org/0000-0001-6309-3126"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Johannes R. Sveinsson","raw_affiliation_strings":["Dept. Electrical Eng., University of Iceland, Reykjavik, ICELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng., University of Iceland, Reykjavik, ICELAND","institution_ids":["https://openalex.org/I165368041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165368041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22795139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"401","issue":null,"first_page":"290","last_page":"293"},"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":0.9958999752998352,"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":0.9908999800682068,"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":0.9457045793533325},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7989211678504944},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6660975217819214},{"id":"https://openalex.org/keywords/abundance-estimation","display_name":"Abundance estimation","score":0.5320219993591309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5162644386291504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5121300220489502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47811833024024963},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46335533261299133},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.45044296979904175},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4386384189128876},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42018017172813416},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.4144916832447052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.398527592420578},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.38131070137023926},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.22837573289871216},{"id":"https://openalex.org/keywords/abundance","display_name":"Abundance (ecology)","score":0.20779892802238464},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1920030415058136},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1278042495250702},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12636426091194153},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09470415115356445}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9457045793533325},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7989211678504944},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6660975217819214},{"id":"https://openalex.org/C2778514742","wikidata":"https://www.wikidata.org/wiki/Q16245026","display_name":"Abundance estimation","level":3,"score":0.5320219993591309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5162644386291504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5121300220489502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47811833024024963},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46335533261299133},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.45044296979904175},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4386384189128876},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42018017172813416},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.4144916832447052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.398527592420578},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.38131070137023926},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.22837573289871216},{"id":"https://openalex.org/C77077793","wikidata":"https://www.wikidata.org/wiki/Q336019","display_name":"Abundance (ecology)","level":2,"score":0.20779892802238464},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1920030415058136},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1278042495250702},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12636426091194153},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09470415115356445},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1392298","https://openalex.org/W1755724306","https://openalex.org/W1902027874","https://openalex.org/W1974448798","https://openalex.org/W2005818237","https://openalex.org/W2032944446","https://openalex.org/W2101837437","https://openalex.org/W2103559027","https://openalex.org/W2116216716","https://openalex.org/W2131241448","https://openalex.org/W2137410567","https://openalex.org/W2152828463","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W2415341181","https://openalex.org/W2506064001","https://openalex.org/W2738563291","https://openalex.org/W2747132273","https://openalex.org/W2763673051","https://openalex.org/W2954929510","https://openalex.org/W3101195009","https://openalex.org/W3122463936","https://openalex.org/W4233760599","https://openalex.org/W4392677642","https://openalex.org/W6600054515","https://openalex.org/W6678911119","https://openalex.org/W6743459002","https://openalex.org/W6745345120"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W2898368675","https://openalex.org/W1988881499","https://openalex.org/W2773002387","https://openalex.org/W1990914742","https://openalex.org/W2081682213","https://openalex.org/W2006559622","https://openalex.org/W2728548987","https://openalex.org/W240039221","https://openalex.org/W2127934268"],"abstract_inverted_index":{"Blind":[0],"hyperspectral":[1,8,87],"unmixing":[2],"is":[3,59,82],"the":[4,24,27,49],"process":[5],"of":[6,26,64],"decomposing":[7],"images":[9],"(HSIs)":[10],"into":[11],"pure":[12],"material":[13],"spectra":[14],"(endmembers)":[15],"and":[16,46,70],"abundances.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"examine":[22],"scaling":[23],"pixels":[25],"HSI":[28],"inversely":[29],"proportional":[30],"to":[31],"their":[32],"\u21132norm,":[33],"controlled":[34],"with":[35],"a":[36,62],"tuning":[37,72],"parameter.":[38],"We":[39],"promote":[40],"sparse":[41,65],"abundances":[42],"using":[43,53,61,76,84],"an":[44],"\u2113qpenalty":[45],"softly":[47],"enforce":[48],"abundance":[50],"sum":[51],"constraint":[52],"matrix":[54,67],"augmentation.":[55],"The":[56,79],"minimization":[57],"problem":[58],"solved":[60],"variant":[63],"nonnegative":[66],"factorization":[68],"(NMF)":[69],"all":[71],"parameters":[73],"are":[74],"selected":[75],"Bayesian":[77],"optimization.":[78],"proposed":[80],"method":[81],"evaluated":[83],"two":[85],"real":[86],"images.":[88]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
