{"id":"https://openalex.org/W4296339239","doi":"https://doi.org/10.1109/jstsp.2022.3207663","title":"D$^\\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion","display_name":"D$^\\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296339239","doi":"https://doi.org/10.1109/jstsp.2022.3207663"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2022.3207663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3207663","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in 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/A5040298241","display_name":"Rom\u00e1n J\u00e1come","orcid":"https://orcid.org/0000-0002-3621-0275"},"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":"Roman Jacome","raw_affiliation_strings":["Department of Physics, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia","institution_ids":["https://openalex.org/I115684694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084685753","display_name":"Jorge Bacca","orcid":"https://orcid.org/0000-0001-5264-7891"},"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":"Jorge Bacca","raw_affiliation_strings":["Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Santander, 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, Santander, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia","institution_ids":["https://openalex.org/I115684694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040298241"],"corresponding_institution_ids":["https://openalex.org/I115684694"],"apc_list":null,"apc_paid":null,"fwci":2.1504,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86043034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"502","last_page":"512"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.7314502596855164},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.7217010259628296},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.5877788066864014},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5425499081611633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5323118567466736},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4967549443244934},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4847983419895172},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.437593013048172},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.43279415369033813},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4282422661781311},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3628135621547699},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.28401094675064087},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.23941203951835632},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18046748638153076},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11661410331726074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314502596855164},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.7217010259628296},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5877788066864014},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5425499081611633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5323118567466736},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4967549443244934},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4847983419895172},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.437593013048172},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.43279415369033813},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4282422661781311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3628135621547699},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.28401094675064087},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.23941203951835632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18046748638153076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11661410331726074}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2022.3207663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3207663","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2150292146","display_name":null,"funder_award_id":"FA9550-21-1-0326","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W570986518","https://openalex.org/W817971873","https://openalex.org/W1522301498","https://openalex.org/W1663117947","https://openalex.org/W2056672982","https://openalex.org/W2058127401","https://openalex.org/W2064076387","https://openalex.org/W2079319869","https://openalex.org/W2084591647","https://openalex.org/W2100556411","https://openalex.org/W2107541189","https://openalex.org/W2133665775","https://openalex.org/W2409316853","https://openalex.org/W2520430674","https://openalex.org/W2556661275","https://openalex.org/W2562637781","https://openalex.org/W2745306196","https://openalex.org/W2766101120","https://openalex.org/W2796709898","https://openalex.org/W2809900749","https://openalex.org/W2888939727","https://openalex.org/W2892288283","https://openalex.org/W2898190873","https://openalex.org/W2902920548","https://openalex.org/W2903472399","https://openalex.org/W2918258331","https://openalex.org/W2923641665","https://openalex.org/W2939313295","https://openalex.org/W2963322354","https://openalex.org/W2963814976","https://openalex.org/W2964984565","https://openalex.org/W2983736948","https://openalex.org/W2996491727","https://openalex.org/W3021094251","https://openalex.org/W3028263484","https://openalex.org/W3035466729","https://openalex.org/W3086735548","https://openalex.org/W3090590772","https://openalex.org/W3098890693","https://openalex.org/W3114941728","https://openalex.org/W3133902371","https://openalex.org/W3134549723","https://openalex.org/W3162988284","https://openalex.org/W3173125503","https://openalex.org/W3178786402","https://openalex.org/W3194054934","https://openalex.org/W3199674203","https://openalex.org/W3201305819","https://openalex.org/W3209765350","https://openalex.org/W4210537578","https://openalex.org/W4220791861","https://openalex.org/W4225508523","https://openalex.org/W4283814975","https://openalex.org/W4294308955","https://openalex.org/W4296736709","https://openalex.org/W4361757154","https://openalex.org/W6623043969","https://openalex.org/W6631190155","https://openalex.org/W6704992002","https://openalex.org/W6787337712","https://openalex.org/W6839086943","https://openalex.org/W6839668418"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2020022812","https://openalex.org/W2051334599","https://openalex.org/W3047444742","https://openalex.org/W2016359086","https://openalex.org/W2162448125","https://openalex.org/W2160048528"],"abstract_inverted_index":{"Compressive":[0],"spectral":[1,17,26,40,55,93],"imaging":[2],"(CSI)":[3],"has":[4],"attracted":[5],"significant":[6],"attention":[7],"since":[8],"it":[9],"employs":[10,59],"synthetic":[11],"apertures":[12],"to":[13,47,70,159,187,213],"codify":[14],"spatial":[15,38],"and":[16,39,97,121,142,156,192,228],"information,":[18],"sensing":[19,119],"only":[20],"2D":[21],"projections":[22],"of":[23,42,63,81,85,117,181,209,217],"the":[24,37,43,60,79,82,118,135,140,143,148,164,177,189,193,207,215,218,232],"3D":[25],"image.":[27],"However,":[28],"these":[29],"optical":[30,132],"architectures":[31,66,120],"suffer":[32],"from":[33],"a":[34,72,86,98,122,152,199],"trade-off":[35],"between":[36],"resolution":[41,89,101],"reconstructed":[44],"image":[45,56],"due":[46],"technology":[48],"limitations.":[49],"To":[50],"overcome":[51],"this":[52,112],"issue,":[53],"compressive":[54,83],"fusion":[57,80],"(CSIF)":[58],"projected":[61],"measurements":[62,84],"two":[64],"CSI":[65],"with":[67,234],"different":[68],"resolutions":[69],"estimate":[71],"high-spatial":[73,99],"high-spectral":[74,88],"resolution.":[75],"This":[76],"work":[77],"presents":[78],"low-spatial":[87],"coded":[90,136,145],"aperture":[91,137,146],"snapshot":[92],"imager":[94],"(CASSI)":[95],"architecture":[96],"low-spectral":[100],"multispectral":[102],"color":[103],"filter":[104],"array":[105],"(MCFA)":[106],"system.":[107],"Unlike":[108],"previous":[109,225],"CSIF":[110,226],"works,":[111],"paper":[113],"proposes":[114],"joint":[115],"optimization":[116,184],"reconstruction":[123,190],"network":[124,174],"in":[125,139,147],"an":[126,168,172],"end-to-end":[127],"(E2E)":[128],"manner.":[129],"The":[130,221],"trainable":[131,165],"parameters":[133],"are":[134],"(CA)":[138],"CASSI":[141],"colored":[144],"MCFA":[149],"system,":[150],"employing":[151],"sigmoid":[153],"activation":[154],"function":[155,158,203],"regularization":[157],"encourage":[160],"binary":[161],"values":[162],"on":[163],"variables":[166],"for":[167],"implementation":[169],"purpose.":[170],"Additionally,":[171],"unrolling-based":[173],"inspired":[175,201],"by":[176],"alternating":[178],"direction":[179],"method":[180,223,233],"multipliers":[182],"(ADMM)":[183],"is":[185,204],"formulated":[186],"address":[188],"step":[191],"acquisition":[194],"systems":[195],"design":[196],"jointly.":[197],"Finally,":[198],"spatial-spectral":[200],"loss":[202],"employed":[205],"at":[206],"end":[208],"each":[210],"unrolling":[211,219],"layer":[212],"increase":[214],"convergence":[216],"network.":[220],"proposed":[222],"outperforms":[224],"methods,":[227],"experimental":[229],"results":[230],"validate":[231],"real":[235],"measurements.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}