{"id":"https://openalex.org/W4225975902","doi":"https://doi.org/10.1109/jstsp.2022.3167891","title":"High-Fidelity Hyperspectral Snapshot of Physical World: System Architecture, Dataset and Model","display_name":"High-Fidelity Hyperspectral Snapshot of Physical World: System Architecture, Dataset and Model","publication_year":2022,"publication_date":"2022-04-19","ids":{"openalex":"https://openalex.org/W4225975902","doi":"https://doi.org/10.1109/jstsp.2022.3167891"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2022.3167891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3167891","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/A5029084890","display_name":"Erqi Huang","orcid":"https://orcid.org/0000-0002-2156-1435"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Erqi Huang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039618428","display_name":"Maoqi Zhang","orcid":"https://orcid.org/0000-0002-5839-7800"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoqi Zhang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073914656","display_name":"Zhan Ma","orcid":"https://orcid.org/0000-0003-3686-4057"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Ma","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003256378","display_name":"Linsen Chen","orcid":"https://orcid.org/0000-0002-1259-135X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linsen Chen","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082955562","display_name":"Yiyu Zhuang","orcid":"https://orcid.org/0009-0003-5726-8534"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyu Zhuang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058572381","display_name":"Xun Cao","orcid":"https://orcid.org/0000-0003-3094-4371"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Cao","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029084890"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.5702,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59603648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"4","first_page":"608","last_page":"621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9993000030517578,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8956892490386963},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.8894994258880615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814778804779053},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.57419353723526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080375671386719},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4414839446544647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36933907866477966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2742963433265686},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10402870178222656}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8956892490386963},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.8894994258880615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814778804779053},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.57419353723526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080375671386719},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4414839446544647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36933907866477966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2742963433265686},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10402870178222656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2022.3167891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3167891","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/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7238901026","display_name":null,"funder_award_id":"62025108","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W164338494","https://openalex.org/W1901129140","https://openalex.org/W1984864470","https://openalex.org/W1986095090","https://openalex.org/W1992554745","https://openalex.org/W2002498099","https://openalex.org/W2004849593","https://openalex.org/W2012946078","https://openalex.org/W2021046129","https://openalex.org/W2056672982","https://openalex.org/W2059060472","https://openalex.org/W2070145771","https://openalex.org/W2070329589","https://openalex.org/W2084591647","https://openalex.org/W2085261163","https://openalex.org/W2094723988","https://openalex.org/W2095579352","https://openalex.org/W2098424973","https://openalex.org/W2100109944","https://openalex.org/W2109149397","https://openalex.org/W2116702374","https://openalex.org/W2117146861","https://openalex.org/W2120478201","https://openalex.org/W2122718063","https://openalex.org/W2125188192","https://openalex.org/W2133665775","https://openalex.org/W2151103935","https://openalex.org/W2163362523","https://openalex.org/W2163446914","https://openalex.org/W2166785998","https://openalex.org/W2170608472","https://openalex.org/W2194775991","https://openalex.org/W2327302159","https://openalex.org/W2511401065","https://openalex.org/W2520430674","https://openalex.org/W2612063021","https://openalex.org/W2884585870","https://openalex.org/W2892288283","https://openalex.org/W2963222130","https://openalex.org/W2964984565","https://openalex.org/W2980467688","https://openalex.org/W3034552520","https://openalex.org/W3096654432","https://openalex.org/W3102912004","https://openalex.org/W3160949528","https://openalex.org/W3161700323","https://openalex.org/W3193497103","https://openalex.org/W3198656026","https://openalex.org/W3217526930","https://openalex.org/W4242943569","https://openalex.org/W4252777177","https://openalex.org/W6631190155","https://openalex.org/W6631943919"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W4391217658","https://openalex.org/W3176048168"],"abstract_inverted_index":{"It":[0],"is":[1,187],"extremely":[2],"challenging":[3],"to":[4,60,168],"acquire":[5],"high-fidelity":[6,172],"video":[7],"of":[8,83,110,140,146,175],"physical":[9,119,178],"world":[10,179],"at":[11],"high":[12,14,17,52,96],"spectral,":[13],"spatial":[15],"and":[16,122,136,164,171,193,200],"temporal":[18,41,53],"resolution":[19,54],"(H":[20],"<inline-formula":[21,76,113],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[22,77,114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[23,78,115],"notation=\"LaTeX\">$^{3}$</tex-math></inline-formula>":[24],"R)":[25],"granularities":[26],"simultaneously.":[27],"Existing":[28],"hyperspectral":[29,45,101,127,173],"scanning":[30],"cameras":[31,47],"offer":[32],"groundtruth":[33,98,139],"with":[34],"sufficient":[35],"spatiospectral":[36,63,88,97,182],"resolutions":[37],"but":[38,56],"largely":[39],"lack":[40],"details;":[42],"while":[43],"recent":[44],"snapshot":[46,135],"(e.g.,":[48],"CASSI,":[49],"PMVIS)":[50],"enable":[51],"acquisition":[55],"present":[57],"inferior":[58],"capacity":[59],"measure":[61],"fine-grained":[62],"components":[64],"as":[65],"groundtruth.":[66],"This":[67],"work":[68],"builds":[69],"a":[70,118,125,141],"joint":[71],"snapshot-scanning":[72,107],"spectral":[73,154,161],"system":[74],"(JS":[75],"notation=\"LaTeX\">$^{4}$</tex-math></inline-formula>":[79,116],"),":[80],"by":[81,94],"means":[82],"which":[84],"the":[85,100,106,111,147,160,176,197,207],"acquired":[86],"low":[87],"video-rate":[89,134],"snapshots":[90],"can":[91],"be":[92],"guided":[93,162],"synchronous-captured":[95],"in":[99],"propagation.":[102],"We":[103],"first":[104],"register":[105],"image":[108,128],"pairs":[109],"JS":[112],"using":[117,190],"imaging":[120],"model,":[121],"then":[123],"generate":[124],"computational":[126],"light":[129],"dataset":[130],"(CHILD)":[131],"having":[132],"both":[133],"corresponding":[137],"scanned":[138],"specific":[142],"scene.":[143],"Taking":[144],"advantage":[145],"CHILD,":[148],"we":[149],"later":[150],"develop":[151],"an":[152],"end-to-end":[153],"propagation":[155],"network":[156],"(SPN)":[157],"that":[158],"applies":[159],"filter":[163],"channel":[165],"attention":[166],"mechanism":[167],"restore":[169],"rich,":[170],"measurement":[174],"dynamic":[177],"from":[180],"limited":[181],"snapshot.":[183],"The":[184],"proposed":[185,198],"SPN":[186,205],"evaluated":[188],"extensively":[189],"non-blind,":[191],"blind":[192],"semi-blind":[194],"experiments.":[195],"For":[196],"CHILD":[199],"other":[201],"abundant":[202],"datasets,":[203],"our":[204],"outperforms":[206],"state-of-the-art":[208],"methods":[209],"greatly.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
