{"id":"https://openalex.org/W7125979703","doi":"https://doi.org/10.1007/s00034-025-03476-0","title":"Group Sparse Weighted Log-Sum Regularized Model for Hyperspectral Image Denoising","display_name":"Group Sparse Weighted Log-Sum Regularized Model for Hyperspectral Image Denoising","publication_year":2026,"publication_date":"2026-01-28","ids":{"openalex":"https://openalex.org/W7125979703","doi":"https://doi.org/10.1007/s00034-025-03476-0"},"language":"en","primary_location":{"id":"doi:10.1007/s00034-025-03476-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00034-025-03476-0","pdf_url":null,"source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and Signal Processing","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/A5124065218","display_name":"Tao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103486105","display_name":"Z. H. Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyi Jiang","raw_affiliation_strings":["School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124130021","display_name":"Weiyu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Li","raw_affiliation_strings":["School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124087166","display_name":"Xutao Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xutao Mo","raw_affiliation_strings":["School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-0336-4347","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, Anhui, China","institution_ids":["https://openalex.org/I92178344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5124087166"],"corresponding_institution_ids":["https://openalex.org/I92178344"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09603438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"7","first_page":"5908","last_page":"5937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9265999794006348,"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":0.9265999794006348,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.033900000154972076,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.010300000198185444,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.6586999893188477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6488000154495239},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5885999798774719},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5460000038146973},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.448199987411499},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4431999921798706},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44020000100135803},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.42100000381469727}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6586999893188477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6488000154495239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6255999803543091},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5885999798774719},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5460000038146973},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49320000410079956},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44020000100135803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4361000061035156},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.3790000081062317},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28040000796318054},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.2773999869823456}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00034-025-03476-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00034-025-03476-0","pdf_url":null,"source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7527959942817688}],"awards":[{"id":"https://openalex.org/G1309635834","display_name":null,"funder_award_id":"gxyq2021178","funder_id":"https://openalex.org/F4320334973","funder_display_name":"Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province"},{"id":"https://openalex.org/G7847397587","display_name":null,"funder_award_id":"61701004","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/F4320334973","display_name":"Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province","ror":"https://ror.org/012m7k033"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1503425191","https://openalex.org/W1668783296","https://openalex.org/W1928626817","https://openalex.org/W1944540851","https://openalex.org/W1965125844","https://openalex.org/W1994040806","https://openalex.org/W2003884262","https://openalex.org/W2011181254","https://openalex.org/W2024165284","https://openalex.org/W2056201402","https://openalex.org/W2070424424","https://openalex.org/W2082590963","https://openalex.org/W2087263574","https://openalex.org/W2122688057","https://openalex.org/W2125527601","https://openalex.org/W2127495569","https://openalex.org/W2167577940","https://openalex.org/W2171520281","https://openalex.org/W2187214659","https://openalex.org/W2414168010","https://openalex.org/W2464748116","https://openalex.org/W2596422482","https://openalex.org/W2735711969","https://openalex.org/W2743606449","https://openalex.org/W2793515883","https://openalex.org/W2905232803","https://openalex.org/W2907368145","https://openalex.org/W2919868964","https://openalex.org/W2972301798","https://openalex.org/W2980079746","https://openalex.org/W3004433344","https://openalex.org/W3031730338","https://openalex.org/W3091030342","https://openalex.org/W3096411729","https://openalex.org/W3118914778","https://openalex.org/W3134510327","https://openalex.org/W4366668484"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-26T06:17:10.115597","created_date":"2026-01-29T00:00:00"}
