{"id":"https://openalex.org/W2995172794","doi":"https://doi.org/10.1109/tip.2019.2959737","title":"Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component Analysis","display_name":"Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component Analysis","publication_year":2019,"publication_date":"2019-12-19","ids":{"openalex":"https://openalex.org/W2995172794","doi":"https://doi.org/10.1109/tip.2019.2959737","mag":"2995172794","pmid":"https://pubmed.ncbi.nlm.nih.gov/31870984"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2959737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2959737","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5009365999","display_name":"Jonathan Monsalve","orcid":"https://orcid.org/0000-0002-8836-556X"},"institutions":[{"id":"https://openalex.org/I115684694","display_name":"Industrial University of Santander","ror":"https://ror.org/00xc1d948","country_code":"CO","type":"education","lineage":["https://openalex.org/I115684694"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Jonathan Monsalve","raw_affiliation_strings":["Department of Electrical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-8836-556X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia","institution_ids":["https://openalex.org/I115684694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039614777","display_name":"Hoover Rueda-Chac\u00f3n","orcid":"https://orcid.org/0000-0002-6763-8629"},"institutions":[{"id":"https://openalex.org/I115684694","display_name":"Industrial University of Santander","ror":"https://ror.org/00xc1d948","country_code":"CO","type":"education","lineage":["https://openalex.org/I115684694"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Hoover Rueda-Chacon","raw_affiliation_strings":["Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia","[Dept. of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia]"],"raw_orcid":"https://orcid.org/0000-0002-6763-8629","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia","institution_ids":["https://openalex.org/I115684694"]},{"raw_affiliation_string":"[Dept. of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia]","institution_ids":["https://openalex.org/I115684694"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081714132","display_name":"Henry Arg\u00fcello","orcid":"https://orcid.org/0000-0002-2202-253X"},"institutions":[{"id":"https://openalex.org/I115684694","display_name":"Industrial University of Santander","ror":"https://ror.org/00xc1d948","country_code":"CO","type":"education","lineage":["https://openalex.org/I115684694"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Henry Arguello","raw_affiliation_strings":["Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia","[Dept. of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia","institution_ids":["https://openalex.org/I115684694"]},{"raw_affiliation_string":"[Dept. of Computer Science, Universidad Industrial de Santander, Bucaramanga, Colombia]","institution_ids":["https://openalex.org/I115684694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009365999"],"corresponding_institution_ids":["https://openalex.org/I115684694"],"apc_list":null,"apc_paid":null,"fwci":0.7765,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71062654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"29","issue":null,"first_page":"4003","last_page":"4012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7102111577987671},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.5275145173072815},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5269770622253418},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5224413275718689},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5183573365211487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5019402503967285},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4922904074192047},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4483177661895752},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4473360478878021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43815991282463074},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42035165429115295},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.4146081209182739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41104093194007874},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41082948446273804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35594457387924194},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.17184966802597046}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7102111577987671},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.5275145173072815},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5269770622253418},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5224413275718689},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5183573365211487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5019402503967285},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4922904074192047},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4483177661895752},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4473360478878021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43815991282463074},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42035165429115295},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.4146081209182739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41104093194007874},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41082948446273804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35594457387924194},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.17184966802597046},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2959737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2959737","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:31870984","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31870984","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1599867596","https://openalex.org/W1977301496","https://openalex.org/W1981939910","https://openalex.org/W1991799212","https://openalex.org/W1992400371","https://openalex.org/W1992633833","https://openalex.org/W2002498099","https://openalex.org/W2011452458","https://openalex.org/W2018686979","https://openalex.org/W2069287942","https://openalex.org/W2070424424","https://openalex.org/W2079319869","https://openalex.org/W2097417531","https://openalex.org/W2100705753","https://openalex.org/W2109449402","https://openalex.org/W2113481141","https://openalex.org/W2119667497","https://openalex.org/W2126607811","https://openalex.org/W2128873066","https://openalex.org/W2129131372","https://openalex.org/W2149631607","https://openalex.org/W2170608472","https://openalex.org/W2279145679","https://openalex.org/W2296616510","https://openalex.org/W2343653684","https://openalex.org/W2511401065","https://openalex.org/W2523031922","https://openalex.org/W2550555454","https://openalex.org/W2556661275","https://openalex.org/W2562346436","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W1576424959","https://openalex.org/W2883439616","https://openalex.org/W2767938386","https://openalex.org/W4234877896","https://openalex.org/W2531264786","https://openalex.org/W2732461152","https://openalex.org/W3211697769","https://openalex.org/W1975463773","https://openalex.org/W2028568336","https://openalex.org/W3135725012"],"abstract_inverted_index":{"Compressive":[0],"spectral":[1,13,45,83,118,180],"imaging":[2],"(CSI)":[3],"is":[4,24,63,70,127,156,169,187],"a":[5,71,159,183,191,197],"framework":[6],"that":[7,76,195,202],"captures":[8],"coded-and-multiplexed":[9],"low-dimensional":[10,87],"projections":[11],"of":[12,43,152,161,199,207,215,224,235],"data-cubes.":[14],"In":[15],"general,":[16],"the":[17,44,49,52,78,82,102,108,117,149,153,174,179,204,208,213,216,236,244],"sensing":[18,110,145,167,185,247,256],"process":[19,105],"in":[20,137,229,233],"many":[21],"CSI":[22,103,133,144],"architectures":[23],"described":[25],"using":[26],"binary":[27,109,200,245],"matrices,":[28,31],"so-called":[29],"sensing/projection":[30],"whose":[32],"elements":[33],"can":[34,56,97],"be":[35,57,98],"either":[36],"random":[37,166,255],"or":[38,51,93],"designed.":[39],"However,":[40],"some":[41],"characteristics":[42],"data,":[46],"such":[47],"as":[48,130],"\u21132-norm":[50],"second":[53],"moment":[54],"statistics,":[55],"lost":[58],"when":[59,243],"this":[60,138],"dimensionality":[61,73],"reduction":[62,74],"performed.":[64],"Similarly,":[65],"principal":[66,205],"component":[67],"analysis":[68],"(PCA)":[69],"data":[72,84,217],"technique":[75],"minimizes":[77],"least-squared":[79],"error":[80],"between":[81],"and":[85,121,251,258],"its":[86,91,123],"projection,":[88],"but":[89],"preserving":[90],"structure":[92],"variance.":[94,218],"Thus,":[95],"PCA":[96,113,154],"used":[99,170,250],"to":[100,115,142,171,226,239],"guide":[101],"acquisition":[104],"by":[106,132,147,189],"designing":[107],"matrix.":[111],"Nonetheless,":[112],"requires":[114],"know":[116],"image":[119,230],"a-priori,":[120],"also,":[122],"associated":[124,177],"projection":[125,155],"matrix":[126,176,186],"not":[128],"binary,":[129],"required":[131],"optical":[134],"architectures.":[135],"Therefore,":[136],"paper,":[139],"an":[140,222],"algorithm":[141],"design":[143],"matrices":[146,168,248,257,261],"exploiting":[148],"structure-preserving":[150],"property":[151],"proposed.":[157],"First,":[158],"set":[160,198],"compressive":[162],"measurements":[163],"obtained":[164],"with":[165,178,253],"rapidly":[172],"estimate":[173],"covariance":[175,209],"data.":[181],"Then,":[182],"new":[184],"designed":[188,260],"solving":[190],"non-convex":[192],"optimization":[193],"problem":[194],"finds":[196],"vectors":[201],"approximate":[203],"components":[206],"matrix,":[210],"thus":[211],"maximizing":[212],"explanation":[214],"Experimental":[219],"results":[220],"show":[221],"improvement":[223],"up":[225],"3":[227],"dB":[228],"reconstruction":[231],"quality,":[232],"terms":[234],"peak":[237],"signal":[238],"noise":[240],"ratio":[241],"(PSNR),":[242],"PCA-based":[246],"are":[249],"compared":[252],"conventional":[254],"state-of-art":[259],"based":[262],"on":[263],"PCA.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
