{"id":"https://openalex.org/W2466594406","doi":"https://doi.org/10.1007/s11263-016-0921-6","title":"Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration","display_name":"Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration","publication_year":2016,"publication_date":"2016-06-20","ids":{"openalex":"https://openalex.org/W2466594406","doi":"https://doi.org/10.1007/s11263-016-0921-6","mag":"2466594406"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-016-0921-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-016-0921-6","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","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/A5100738025","display_name":"Ying Fu","orcid":"https://orcid.org/0000-0002-6677-694X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ying Fu","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033576616","display_name":"Antony Lam","orcid":"https://orcid.org/0000-0001-7589-9303"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Antony Lam","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101052713","display_name":"Imari Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Imari Sato","raw_affiliation_strings":["National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda, Tokyo, 101-8430, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda, Tokyo, 101-8430, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045996641","display_name":"Yoichi Sato","orcid":"https://orcid.org/0000-0003-0097-4537"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Sato","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100738025"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":2.8175,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.9392036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"122","issue":"2","first_page":"228","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9397821426391602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7093420624732971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6445085406303406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6219495534896851},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.573822557926178},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5105761289596558},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5030662417411804},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4811031222343445},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4155903160572052},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4104093909263611},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.347919762134552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3383439779281616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33455610275268555},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2605726420879364}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9397821426391602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7093420624732971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6445085406303406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219495534896851},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.573822557926178},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5105761289596558},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5030662417411804},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4811031222343445},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4155903160572052},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4104093909263611},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.347919762134552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3383439779281616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33455610275268555},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2605726420879364},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-016-0921-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-016-0921-6","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.41999998688697815,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1513984747","https://openalex.org/W1529476013","https://openalex.org/W1601729531","https://openalex.org/W1605783371","https://openalex.org/W1757497121","https://openalex.org/W1899329334","https://openalex.org/W1937912418","https://openalex.org/W1969352102","https://openalex.org/W1974438823","https://openalex.org/W1978749115","https://openalex.org/W1980849288","https://openalex.org/W1986931325","https://openalex.org/W1988386267","https://openalex.org/W1994040806","https://openalex.org/W1994168328","https://openalex.org/W1995515053","https://openalex.org/W1998927220","https://openalex.org/W2004913087","https://openalex.org/W2005876975","https://openalex.org/W2012810650","https://openalex.org/W2012946078","https://openalex.org/W2016278923","https://openalex.org/W2018482939","https://openalex.org/W2028349405","https://openalex.org/W2035999119","https://openalex.org/W2039596145","https://openalex.org/W2039731396","https://openalex.org/W2045079989","https://openalex.org/W2050834445","https://openalex.org/W2052468738","https://openalex.org/W2055225600","https://openalex.org/W2056370875","https://openalex.org/W2066622369","https://openalex.org/W2068873421","https://openalex.org/W2078910209","https://openalex.org/W2087080155","https://openalex.org/W2095906131","https://openalex.org/W2096214786","https://openalex.org/W2097073572","https://openalex.org/W2100056645","https://openalex.org/W2100109944","https://openalex.org/W2102219056","https://openalex.org/W2105464873","https://openalex.org/W2111557737","https://openalex.org/W2115706991","https://openalex.org/W2116796676","https://openalex.org/W2120478201","https://openalex.org/W2121058967","https://openalex.org/W2125734432","https://openalex.org/W2126021100","https://openalex.org/W2126025632","https://openalex.org/W2127457591","https://openalex.org/W2128148283","https://openalex.org/W2129638195","https://openalex.org/W2129891925","https://openalex.org/W2131435655","https://openalex.org/W2133665775","https://openalex.org/W2136251662","https://openalex.org/W2140702875","https://openalex.org/W2141983208","https://openalex.org/W2145035344","https://openalex.org/W2145889472","https://openalex.org/W2153663612","https://openalex.org/W2155633677","https://openalex.org/W2160484748","https://openalex.org/W2160547390","https://openalex.org/W2161037015","https://openalex.org/W2161073299","https://openalex.org/W2162276208","https://openalex.org/W2171520281","https://openalex.org/W2197175231","https://openalex.org/W2327302159","https://openalex.org/W2534320940","https://openalex.org/W2536599074","https://openalex.org/W4233367343","https://openalex.org/W4251142838"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2912065050","https://openalex.org/W1805124342"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
