{"id":"https://openalex.org/W4388505158","doi":"https://doi.org/10.1109/tim.2023.3331404","title":"Spectrum Reconstruction of Multispectral Light Field Imager Based on Adaptive Sparse Representation","display_name":"Spectrum Reconstruction of Multispectral Light Field Imager Based on Adaptive Sparse Representation","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388505158","doi":"https://doi.org/10.1109/tim.2023.3331404"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3331404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3331404","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5039866167","display_name":"Chenxiang Zhu","orcid":"https://orcid.org/0000-0002-1652-5384"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Conghui Zhu","raw_affiliation_strings":["School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1652-5384","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039592020","display_name":"Hongyang Zheng","orcid":"https://orcid.org/0000-0002-4239-4103"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Zheng","raw_affiliation_strings":["School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4239-4103","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886923","display_name":"Yan Yuan","orcid":"https://orcid.org/0000-0002-6575-4407"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yuan","raw_affiliation_strings":["School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6575-4407","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103221685","display_name":"Lijuan Su","orcid":"https://orcid.org/0000-0003-2653-7175"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Su","raw_affiliation_strings":["School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2653-7175","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.1503,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81545572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9948999881744385,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9948999881744385,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9914000034332275,"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/T12050","display_name":"Optical Polarization and Ellipsometry","score":0.9908999800682068,"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/multispectral-image","display_name":"Multispectral image","score":0.8361797332763672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684099555015564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6159132122993469},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6064121723175049},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5899219512939453},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5490383505821228},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.4981722831726074},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4677914083003998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46317511796951294},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.4455813765525818},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.44171276688575745},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.42595988512039185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32670509815216064},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.29086795449256897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21395719051361084},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14845314621925354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11437413096427917},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10121312737464905}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8361797332763672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684099555015564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6159132122993469},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6064121723175049},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5899219512939453},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5490383505821228},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.4981722831726074},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4677914083003998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46317511796951294},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.4455813765525818},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.44171276688575745},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.42595988512039185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32670509815216064},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.29086795449256897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21395719051361084},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14845314621925354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11437413096427917},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10121312737464905},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3331404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3331404","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G5103669518","display_name":"\u5feb\u7167\u5f0f\u6210\u50cf\u5149\u8c31\u6280\u672f\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61635002","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1969026699","https://openalex.org/W1972399486","https://openalex.org/W1981720199","https://openalex.org/W1981743762","https://openalex.org/W1986931325","https://openalex.org/W1998421128","https://openalex.org/W2002498099","https://openalex.org/W2005490094","https://openalex.org/W2010319424","https://openalex.org/W2021997546","https://openalex.org/W2023819666","https://openalex.org/W2033180095","https://openalex.org/W2052127078","https://openalex.org/W2070615500","https://openalex.org/W2074749333","https://openalex.org/W2101568317","https://openalex.org/W2107463766","https://openalex.org/W2113723255","https://openalex.org/W2115706991","https://openalex.org/W2127299066","https://openalex.org/W2128686953","https://openalex.org/W2134091142","https://openalex.org/W2137225583","https://openalex.org/W2137313943","https://openalex.org/W2149792677","https://openalex.org/W2154332973","https://openalex.org/W2157021759","https://openalex.org/W2319805010","https://openalex.org/W2606412288","https://openalex.org/W2755060436","https://openalex.org/W2797400460","https://openalex.org/W2908456275","https://openalex.org/W2979492955","https://openalex.org/W3022380717","https://openalex.org/W3107145111","https://openalex.org/W3107468019","https://openalex.org/W3138572882","https://openalex.org/W3184445512","https://openalex.org/W3197432048","https://openalex.org/W4250955649","https://openalex.org/W4310588441","https://openalex.org/W6680152570"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W2737338842","https://openalex.org/W2174948646","https://openalex.org/W3173235360","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2594370889","https://openalex.org/W2390720471","https://openalex.org/W2051410394","https://openalex.org/W1600789676"],"abstract_inverted_index":{"Spectra":[0],"reflects":[1],"the":[2,45,52,55,82,106,140,154],"essential":[3],"features":[4],"of":[5,51,85,157],"objects":[6],"and":[7,21,35,40,48,64,128,135,151],"has":[8],"important":[9],"applications":[10],"in":[11],"many":[12],"fields,":[13],"such":[14],"as":[15],"remote":[16],"sensing,":[17],"biology,":[18],"food":[19],"testing,":[20],"so":[22],"on.":[23],"The":[24,133],"multispectral":[25],"light":[26],"field":[27],"imager":[28],"(MSLFI)":[29],"can":[30,144],"simultaneously":[31],"capture":[32],"spatial\u2013spectral":[33],"datacube":[34],"be":[36],"used":[37],"for":[38],"detecting":[39],"monitoring":[41],"dynamic":[42],"targets.":[43],"However,":[44],"spectral":[46,61,130],"aliasing":[47,131],"high-level":[49],"noise":[50,89],"system":[53],"are":[54],"main":[56],"factors":[57],"that":[58,139],"degrade":[59],"its":[60,66],"image":[62],"quality":[63],"limit":[65],"practical":[67],"applications.":[68],"In":[69],"this":[70],"article,":[71],"we":[72],"propose":[73],"an":[74],"adaptive":[75],"sparse":[76,129],"representation":[77],"(ASR)":[78],"method":[79,121,143],"to":[80,112,124],"reconstruct":[81],"target":[83],"spectrum":[84],"MSLFI":[86],"with":[87,96,148],"high":[88],"levels.":[90],"A":[91],"rough":[92],"result":[93],"is":[94,122],"reconstructed":[95],"a":[97,110,114,118,126],"redundant":[98],"dictionary":[99],"at":[100],"first.":[101],"By":[102],"recognizing":[103],"peak":[104],"features,":[105],"algorithm":[107],"adaptively":[108],"selects":[109],"sub-dictionary":[111],"conduct":[113],"secondary":[115],"optimization.":[116],"Besides,":[117],"position-constrained":[119],"calibration":[120],"introduced":[123],"obtain":[125],"denoised":[127],"matrix.":[132],"simulation":[134],"experimental":[136],"results":[137],"showed":[138],"proposed":[141],"ASR":[142],"flexibly":[145],"handle":[146],"spectra":[147],"various":[149],"curvatures":[150],"effectively":[152],"improve":[153],"reconstruction":[155],"accuracy":[156],"different":[158],"spectra.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}