{"id":"https://openalex.org/W2017654622","doi":"https://doi.org/10.1109/igarss.2015.7325794","title":"Total variation and &amp;#x2113;&lt;inf&gt;q&lt;/inf&gt; based hyperspectral unmixing for feature extraction and classification","display_name":"Total variation and &amp;#x2113;&lt;inf&gt;q&lt;/inf&gt; based hyperspectral unmixing for feature extraction and classification","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2017654622","doi":"https://doi.org/10.1109/igarss.2015.7325794","mag":"2017654622"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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","University of Iceland,Dept. Electrical Eng.,,Reykjavik,,ICELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng, University of Iceland, Reykjavik, ICELAND","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"University of Iceland,Dept. Electrical Eng.,,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","University of Iceland,Dept. Electrical Eng.,,Reykjavik,,ICELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng, University of Iceland, Reykjavik, ICELAND","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"University of Iceland,Dept. Electrical Eng.,,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","University of Iceland,Dept. Electrical Eng.,,Reykjavik,,ICELAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Eng, University of Iceland, Reykjavik, ICELAND","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"University of Iceland,Dept. Electrical Eng.,,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":0.5379,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55553565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"440"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9698220491409302},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7534896731376648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7364590764045715},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6614702939987183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486502885818481},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.64548659324646},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5498969554901123},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5443631410598755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49145257472991943},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.41642439365386963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40717294812202454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3824184536933899},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08464744687080383},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.060255974531173706}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9698220491409302},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7534896731376648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7364590764045715},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6614702939987183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486502885818481},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.64548659324646},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5498969554901123},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5443631410598755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49145257472991943},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.41642439365386963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40717294812202454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3824184536933899},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08464744687080383},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.060255974531173706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7325794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1966661320","https://openalex.org/W1974448798","https://openalex.org/W2005089986","https://openalex.org/W2005672614","https://openalex.org/W2028349405","https://openalex.org/W2032944446","https://openalex.org/W2090927030","https://openalex.org/W2103559027","https://openalex.org/W2112346053","https://openalex.org/W2123031198","https://openalex.org/W2135046866","https://openalex.org/W2135367316","https://openalex.org/W2142058898","https://openalex.org/W2142224912","https://openalex.org/W2154996879","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W2766264025","https://openalex.org/W2911964244","https://openalex.org/W3106359998","https://openalex.org/W4233760599"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W1605636162","https://openalex.org/W2344001031","https://openalex.org/W2756378021","https://openalex.org/W4292601995","https://openalex.org/W2890366747","https://openalex.org/W2037789795","https://openalex.org/W2613828789","https://openalex.org/W2611470343","https://openalex.org/W4297923868"],"abstract_inverted_index":{"Blind":[0],"hyperspectral":[1,12,47,92],"unmixing":[2,48,93],"jointly":[3],"estimates":[4],"both":[5],"the":[6,9,17,24,27,30,40],"endmembers":[7,15],"and":[8,26,53,59,86,97],"abundances":[10,28,65],"of":[11,20,32],"images.":[13],"The":[14,64,73],"represent":[16],"spectral":[18],"signatures":[19],"material":[21,34],"found":[22,66],"in":[23,36,39],"image":[25],"specify":[29],"amount":[31],"each":[33,37],"seen":[35],"pixel":[38],"image.":[41],"In":[42],"this":[43],"paper,":[44],"a":[45],"blind":[46],"method":[49],"for":[50,71],"feature":[51],"extraction":[52],"classification":[54,74],"using":[55,81,91,94],"total":[56],"variation":[57],"(TV)":[58],"\u2113qsparse":[60],"regularization":[61],"is":[62],"proposed.":[63],"are":[67,76],"used":[68],"as":[69],"features":[70],"classification.":[72],"results":[75,79,89],"compared":[77],"to":[78,88],"obtained":[80,90],"Principal":[82],"Component":[83],"analysis":[84],"(PCA)":[85],"also":[87],"only":[95],"TV":[96],"sparsity,":[98],"respectively.":[99]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
