{"id":"https://openalex.org/W4392904067","doi":"https://doi.org/10.1109/icassp48485.2024.10445895","title":"Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks","display_name":"Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904067","doi":"https://doi.org/10.1109/icassp48485.2024.10445895"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10445895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10445895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5094178969","display_name":"Takumi Takabe","orcid":null},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Takabe","raw_affiliation_strings":["Yamaguchi University,Japan","Yamaguchi University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamaguchi University,Japan","institution_ids":["https://openalex.org/I173915773"]},{"raw_affiliation_string":"Yamaguchi University, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I133557312","display_name":"Rikkyo University","ror":"https://ror.org/00x194q47","country_code":"JP","type":"education","lineage":["https://openalex.org/I133557312"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xian-Hua Han","raw_affiliation_strings":["Rikkyo University,Japan","Rikkyo University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rikkyo University,Japan","institution_ids":["https://openalex.org/I133557312"]},{"raw_affiliation_string":"Rikkyo University, Japan","institution_ids":["https://openalex.org/I133557312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["Ritsumeikan University,Japan","Ritsumeikan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2390","last_page":"2394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.809100329875946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7750841379165649},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.7567965984344482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6569796204566956},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6400179862976074},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5520902276039124},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.47315606474876404},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4666830003261566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4328917860984802},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.4289931654930115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3929447531700134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3612061142921448},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10317382216453552}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.809100329875946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750841379165649},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.7567965984344482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6569796204566956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6400179862976074},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5520902276039124},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.47315606474876404},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4666830003261566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4328917860984802},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.4289931654930115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3929447531700134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3612061142921448},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10317382216453552},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"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:10.1109/icassp48485.2024.10445895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10445895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1975622988","https://openalex.org/W1988386267","https://openalex.org/W2001736287","https://openalex.org/W2010797000","https://openalex.org/W2028349405","https://openalex.org/W2079319869","https://openalex.org/W2084591647","https://openalex.org/W2097273723","https://openalex.org/W2154761409","https://openalex.org/W2169832615","https://openalex.org/W2170608472","https://openalex.org/W2462946880","https://openalex.org/W2511401065","https://openalex.org/W2533971697","https://openalex.org/W2766101120","https://openalex.org/W2903472399","https://openalex.org/W2963764784","https://openalex.org/W2964984565","https://openalex.org/W2992316425","https://openalex.org/W3208622048","https://openalex.org/W4233367343","https://openalex.org/W4233489315"],"related_works":["https://openalex.org/W4391217658","https://openalex.org/W1970762771","https://openalex.org/W2020022812","https://openalex.org/W3047444742","https://openalex.org/W2162448125","https://openalex.org/W2160048528","https://openalex.org/W4308971255","https://openalex.org/W4386427838","https://openalex.org/W1973220951","https://openalex.org/W2043432102"],"abstract_inverted_index":{"Recently,":[0],"coded":[1],"aperture":[2],"snapshot":[3,28],"spectral":[4,151,163,170,179],"imaging":[5],"(CASSI)":[6],"has":[7,65],"been":[8,66],"actively":[9],"researched":[10],"to":[11,80,89,130,144],"capture":[12],"three-dimensional":[13],"(3D)":[14],"hyperspectral":[15],"(HS)":[16],"images":[17,64],"for":[18,38,106,148,165,176],"dynamic":[19],"scenes,":[20],"where":[21],"the":[22,35,40,47,52,58,62,70,82,90,109,123,150,157,162,167,189,195],"optical":[23],"systems":[24],"detect":[25],"a":[26,31,76,99,117,132,139],"2D":[27],"measurement":[29],"while":[30],"computational":[32],"algorithm":[33],"performs":[34],"inverse":[36],"problem":[37],"recovering":[39,152],"latent":[41],"HS":[42,63,103,185],"cubic":[43],"data.":[44],"Benefiting":[45],"from":[46],"powerful":[48],"modeling":[49,142,166],"capability":[50],"of":[51,61,127,191],"deep":[53,72,101,158],"convolution":[54],"neural":[55],"networks":[56],"(DCNN),":[57],"reconstruction":[59,83,104,159],"performance":[60],"significantly":[67],"improved.":[68],"However,":[69],"existing":[71],"methods":[73],"usually":[74],"assume":[75],"particular":[77],"hardware":[78],"mask":[79,140],"train":[81],"models,":[84],"and":[85,136],"restrict":[86],"widely":[87],"applicability":[88],"snapshots":[91,110],"measured":[92],"in":[93,169],"different":[94,128],"hardwares.":[95],"This":[96],"study":[97],"exploits":[98],"novel":[100],"versatile":[102],"framework":[105,193],"adaptively":[107],"handling":[108],"with":[111,161],"arbitrary":[112],"masks.":[113],"Specifically,":[114],"we":[115,155],"employ":[116],"meta-learning":[118],"like":[119],"training":[120,124],"procedure":[121],"using":[122],"paired":[125],"samples":[126],"distributions":[129],"learn":[131],"highly":[133],"generalized":[134],"model,":[135],"further":[137],"incorporate":[138],"structure":[141],"module":[143],"produce":[145],"effective":[146],"knowledge":[147],"modulating":[149],"procedure.":[153],"Moreover,":[154],"configure":[156],"model":[160],"transformer":[164],"long-dependence":[168],"domain,":[171],"which":[172],"is":[173],"especially":[174],"critical":[175],"high":[177],"fidelity":[178],"recovering.":[180],"Experiments":[181],"on":[182],"two":[183],"benchmark":[184],"datasets":[186],"have":[187],"demonstrated":[188],"superiority":[190],"our":[192],"over":[194],"state-of-the-art":[196],"methods.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}