{"id":"https://openalex.org/W4285819501","doi":"https://doi.org/10.1109/jstars.2022.3192484","title":"Hyperspectral Snapshot Compressive Imaging With Dense Back-Projection Joint Attention Network","display_name":"Hyperspectral Snapshot Compressive Imaging With Dense Back-Projection Joint Attention Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285819501","doi":"https://doi.org/10.1109/jstars.2022.3192484"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3192484","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3192484","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09833228.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09833228.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047679253","display_name":"Yubao Sun","orcid":"https://orcid.org/0000-0002-0462-3729"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubao Sun","raw_affiliation_strings":["Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0462-3729","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088254565","display_name":"Junru Huang","orcid":"https://orcid.org/0000-0002-0479-6566"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junru Huang","raw_affiliation_strings":["Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0479-6566","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065902596","display_name":"Liling Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liling Zhao","raw_affiliation_strings":["Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7487-7305","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048675276","display_name":"Kai Hu","orcid":"https://orcid.org/0000-0001-7181-9935"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Hu","raw_affiliation_strings":["Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7181-9935","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digital Forensics, Ministry of Education, and the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.3281,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75863846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":null,"first_page":"6099","last_page":"6109"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9990000128746033,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9182858467102051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7687780857086182},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.667116105556488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.643220067024231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5724520087242126},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5548928380012512},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.49131980538368225},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4463382363319397},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4311944842338562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2038004994392395}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9182858467102051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687780857086182},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.667116105556488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.643220067024231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5724520087242126},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5548928380012512},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.49131980538368225},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4463382363319397},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4311944842338562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2038004994392395},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3192484","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3192484","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09833228.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2cc53bde5a154ef9aa57d3b0ebf4abc0","is_oa":true,"landing_page_url":"https://doaj.org/article/2cc53bde5a154ef9aa57d3b0ebf4abc0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6099-6109 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3192484","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3192484","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09833228.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2937404559","display_name":null,"funder_award_id":"U2001211","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285819501.pdf","grobid_xml":"https://content.openalex.org/works/W4285819501.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1538237237","https://openalex.org/W1901129140","https://openalex.org/W1991767112","https://openalex.org/W1998550178","https://openalex.org/W2002498099","https://openalex.org/W2010221273","https://openalex.org/W2028349405","https://openalex.org/W2084591647","https://openalex.org/W2109449402","https://openalex.org/W2153663612","https://openalex.org/W2170608472","https://openalex.org/W2289756263","https://openalex.org/W2295576075","https://openalex.org/W2323653948","https://openalex.org/W2558551153","https://openalex.org/W2752782242","https://openalex.org/W2766101120","https://openalex.org/W2770113520","https://openalex.org/W2773266593","https://openalex.org/W2798559986","https://openalex.org/W2884144629","https://openalex.org/W2884585870","https://openalex.org/W2919115771","https://openalex.org/W2928165649","https://openalex.org/W2942170965","https://openalex.org/W2963764784","https://openalex.org/W2983736948","https://openalex.org/W2984967991","https://openalex.org/W3034278302","https://openalex.org/W3034552520","https://openalex.org/W3035466729","https://openalex.org/W3083606623","https://openalex.org/W3096654432","https://openalex.org/W3137544784","https://openalex.org/W3152716313","https://openalex.org/W3161450839","https://openalex.org/W3162418282","https://openalex.org/W3204169305","https://openalex.org/W3208146808","https://openalex.org/W3210702487","https://openalex.org/W3215551818","https://openalex.org/W4210753575","https://openalex.org/W4234992901","https://openalex.org/W4250955649","https://openalex.org/W6631190155","https://openalex.org/W6729455701"],"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/W4391217658","https://openalex.org/W3176048168","https://openalex.org/W2896778670"],"abstract_inverted_index":{"Hyperspectral":[0],"Snapshot":[1],"Compressive":[2],"Imaging":[3],"(SCI)":[4],"system":[5],"encodes":[6],"three-dimensional":[7],"hyperspectral":[8,22,60,143],"images":[9,23,144],"into":[10],"a":[11,48,75,113,129,146,153,195,202],"single":[12],"two-dimensional":[13],"snapshot":[14],"measurement":[15],"and":[16,39,51,79,95,117,139,160,180,201],"then":[17],"decodes":[18],"the":[19,26,90,121,157,161],"underlying":[20],"3D":[21],"by":[24],"solving":[25],"compressive":[27],"sensing":[28],"reconstruction":[29,125,158,199],"problem.":[30],"Practical":[31],"applications":[32],"of":[33,65,131,149],"SCI":[34],"imaging":[35],"systems":[36],"require":[37],"fast":[38],"high-quality":[40],"reconstruction.":[41,109],"To":[42],"meet":[43],"this":[44],"requirement,":[45],"we":[46,73,111],"propose":[47,74],"novel":[49],"encoder":[50,84],"decoder":[52,122],"network":[53,67,170],"with":[54,85,145],"dense":[55,76],"back-projection":[56,77,91],"joint":[57],"attention":[58,115],"for":[59,107],"SCI.":[61],"The":[62],"main":[63],"contributions":[64],"our":[66,185],"lie":[68],"in":[69,82,120,142,172,198,205],"two":[70],"aspects.":[71],"First,":[72],"module":[78,116],"deploy":[80,118],"it":[81,119,134],"an":[83,173],"five":[86],"scales.":[87],"It":[88],"computes":[89],"between":[92,104],"each":[93],"scale":[94],"all":[96],"its":[97],"preceding":[98],"scales,":[99],"thereby":[100],"fusing":[101],"complementary":[102],"information":[103],"different":[105],"scales":[106],"efficient":[108],"Second,":[110],"design":[112],"spatial-spectral":[114,132,162],"to":[123,168],"boost":[124],"quality.":[126],"By":[127],"exploiting":[128],"cascade":[130],"attention,":[133],"can":[135],"efficiently":[136],"capture":[137],"spatial":[138],"spectral":[140],"correlations":[141],"low":[147],"volume":[148],"parameters.":[150],"In":[151],"addition,":[152],"compound":[154],"loss,":[155,165],"including":[156],"loss":[159],"total":[163],"variation":[164],"is":[166],"designed":[167],"guide":[169],"learning":[171],"end-to-end":[174],"manner.":[175],"Intensive":[176],"experiments":[177],"on":[178],"simulation":[179],"real":[181],"data":[182],"show":[183],"that":[184],"method":[186],"has":[187],"obvious":[188],"advantages":[189],"over":[190],"multiple":[191],"state-of-the-art":[192],"methods,":[193],"achieving":[194],"significant":[196],"improvement":[197],"quality":[200],"substantial":[203],"reduction":[204],"running":[206],"time.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2022-07-19T00:00:00"}
