{"id":"https://openalex.org/W2985825471","doi":"https://doi.org/10.23919/eusipco.2019.8903100","title":"Hyperspectral complex domain denoising","display_name":"Hyperspectral complex domain denoising","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985825471","doi":"https://doi.org/10.23919/eusipco.2019.8903100","mag":"2985825471"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903100","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-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/A5053964818","display_name":"Vladimir Katkovnik","orcid":"https://orcid.org/0000-0003-3478-0669"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Vladimir Katkovnik","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Computational Imaging Group, Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Computational Imaging Group, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034068929","display_name":"Igor Shevkunov","orcid":"https://orcid.org/0000-0003-1507-3280"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Igor Shevkunov","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Computational Imaging Group, Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Computational Imaging Group, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090213299","display_name":"Karen Egiazarian","orcid":"https://orcid.org/0000-0002-8135-1085"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Karen Egiazarian","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Computational Imaging Group, Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Computational Imaging Group, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053964818"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12703661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9959999918937683,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9954000115394592,"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":0.9565428495407104},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7090522050857544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5730100274085999},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5544134378433228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5526248216629028},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5303215384483337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5181657075881958},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5108699202537537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4651513993740082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31718355417251587}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9565428495407104},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7090522050857544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730100274085999},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5544134378433228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5526248216629028},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5303215384483337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5181657075881958},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5108699202537537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4651513993740082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31718355417251587},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2019.8903100","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","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":16,"referenced_works":["https://openalex.org/W1988386267","https://openalex.org/W2006887802","https://openalex.org/W2041043544","https://openalex.org/W2056370875","https://openalex.org/W2070424424","https://openalex.org/W2568398668","https://openalex.org/W2610760186","https://openalex.org/W2621003952","https://openalex.org/W2767122781","https://openalex.org/W2790888198","https://openalex.org/W2792058676","https://openalex.org/W2793272303","https://openalex.org/W2806665171","https://openalex.org/W2904823784","https://openalex.org/W4298083580","https://openalex.org/W6745759300"],"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/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"We":[0],"consider":[1],"hyperspectral":[2,7,47,59],"complex":[3,24,42],"domain":[4,25,43,69],"imaging":[5],"from":[6],"complex-valued":[8],"noisy":[9],"observations.":[10],"The":[11],"proposed":[12,41],"algorithm":[13],"is":[14],"based":[15],"on":[16],"singular":[17],"value":[18],"decomposition":[19],"(SVD)":[20],"of":[21,39,46,54,58,75],"observations":[22],"and":[23],"block-matching":[26],"3D":[27],"(CDBM3D)":[28],"filtering":[29,45,53,72],"in":[30,49],"optimized":[31],"SVD":[32],"eigenspace.":[33],"Simulation":[34],"experiments":[35],"demonstrate":[36],"high":[37],"efficiency":[38],"the":[40],"joint":[44,67],"data":[48],"comparison":[50],"with":[51,64],"CDBM3D":[52],"separate":[55],"2D":[56],"slices":[57],"cubes":[60],"as":[61,63],"well":[62],"respect":[65],"to":[66],"real":[68],"independent":[70],"phase/amplitude":[71],"this":[73],"kind":[74],"data.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}