{"id":"https://openalex.org/W4398152700","doi":"https://doi.org/10.1109/jstars.2024.3398201","title":"Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction","display_name":"Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398152700","doi":"https://doi.org/10.1109/jstars.2024.3398201"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3398201","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3398201","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10534191.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":null,"license_id":null,"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/ielx7/4609443/4609444/10534191.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102223858","display_name":"Xinwei Wan","orcid":"https://orcid.org/0009-0004-9628-8842"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Wan","raw_affiliation_strings":["College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-9628-8842","affiliations":[{"raw_affiliation_string":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380708","display_name":"Dan Li","orcid":"https://orcid.org/0000-0002-2240-9398"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2240-9398","affiliations":[{"raw_affiliation_string":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023685801","display_name":"Fanqiang Kong","orcid":"https://orcid.org/0000-0001-8077-648X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanqiang Kong","raw_affiliation_strings":["College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8077-648X","affiliations":[{"raw_affiliation_string":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102354057","display_name":"Yanyan Lv","orcid":"https://orcid.org/0009-0004-9816-4739"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Lv","raw_affiliation_strings":["College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-9816-4739","affiliations":[{"raw_affiliation_string":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055119440","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9654-0268"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9654-0268","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.6434,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80047309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"9907","last_page":"9921"},"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":0.9994000196456909,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8546542525291443},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6515222191810608},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5767382383346558},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5632972717285156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5448760986328125},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5365384221076965},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4620892405509949},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4543927311897278},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4399242699146271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39617449045181274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3800196647644043},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.324720174074173},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08590826392173767}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8546542525291443},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6515222191810608},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5767382383346558},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5632972717285156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5448760986328125},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5365384221076965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4620892405509949},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4543927311897278},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4399242699146271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39617449045181274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3800196647644043},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.324720174074173},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08590826392173767},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3398201","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3398201","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10534191.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":null,"license_id":null,"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:d72317831dd14fbfa74d132af14fd5b2","is_oa":true,"landing_page_url":"https://doaj.org/article/d72317831dd14fbfa74d132af14fd5b2","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 17, Pp 9907-9921 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3398201","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3398201","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10534191.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":null,"license_id":null,"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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1873142404","display_name":"\u57fa\u4e8e\u5168\u7ef4\u5ea6\u72ec\u7acb\u91c7\u6837\u673a\u5236\u7684\u9ad8\u5149\u8c31\u5feb\u901f\u6210\u50cf\u53ca\u9ad8\u7ef4\u53bb\u566a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61801214","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398152700.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1568416770","https://openalex.org/W1944540851","https://openalex.org/W1993482030","https://openalex.org/W2024165284","https://openalex.org/W2030927653","https://openalex.org/W2054689585","https://openalex.org/W2075394305","https://openalex.org/W2090618718","https://openalex.org/W2146857427","https://openalex.org/W2170608472","https://openalex.org/W2406093411","https://openalex.org/W2431890537","https://openalex.org/W2533971697","https://openalex.org/W2735711969","https://openalex.org/W2768095459","https://openalex.org/W2789471065","https://openalex.org/W2791928749","https://openalex.org/W2884144629","https://openalex.org/W2890932075","https://openalex.org/W2891069202","https://openalex.org/W2909095597","https://openalex.org/W2910142630","https://openalex.org/W2962708900","https://openalex.org/W2963885538","https://openalex.org/W2964146769","https://openalex.org/W2967275855","https://openalex.org/W2979001238","https://openalex.org/W2982007765","https://openalex.org/W3007602670","https://openalex.org/W3008911924","https://openalex.org/W3027112496","https://openalex.org/W3033009913","https://openalex.org/W3042671644","https://openalex.org/W3090929676","https://openalex.org/W3119576923","https://openalex.org/W3125195138","https://openalex.org/W3131515870","https://openalex.org/W3134510327","https://openalex.org/W3135630532","https://openalex.org/W3155002359","https://openalex.org/W3171243408","https://openalex.org/W3196742104","https://openalex.org/W4206341847","https://openalex.org/W4238744307","https://openalex.org/W4250955649","https://openalex.org/W4293428587","https://openalex.org/W4312464918","https://openalex.org/W4313350256","https://openalex.org/W4313578602","https://openalex.org/W4319990441","https://openalex.org/W6717575008","https://openalex.org/W6763010263","https://openalex.org/W6765543016","https://openalex.org/W6772598863"],"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/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"The":[0,55,91,129],"structure":[1,138],"information":[2],"of":[3,14,57,89,140,168,209],"hyperspectral":[4],"image":[5,99],"(HSI)":[6],"is":[7,81,94,117,133,160,191,213],"well-characterized":[8],"by":[9],"tensors,":[10],"surpassing":[11],"the":[12,35,44,51,85,97,105,111,121,141,146,154,165,173,195,207,210],"capabilities":[13],"traditional":[15],"compressive":[16],"sensing":[17],"(CS)":[18],"reconstruction":[19,37,59,155],"models":[20],"based":[21],"on":[22,204],"vectors":[23],"and":[24,100,125,152,187,198],"matrices.":[25],"Tensor":[26],"decomposition":[27,47,79,116,183],"has":[28],"been":[29],"integrated":[30],"with":[31],"other":[32],"regularizations":[33],"in":[34,148],"model-based":[36,58],"algorithms":[38],"to":[39,49,83,103,119,135,162,172,193],"capture":[40,110],"more":[41],"priors.":[42],"However,":[43],"existing":[45],"tensor":[46,76,130,149],"fails":[48],"achieve":[50],"best":[52],"low-rank":[53,113,174],"approximation.":[54,175],"effectiveness":[56],"methods":[60],"can":[61],"be":[62],"promoted.":[63],"In":[64],"this":[65],"paper,":[66],"a":[67],"subspace-based":[68],"model":[69,212],"utilizing":[70],"spectral":[71,101,107,178,185,196],"quadratic":[72,179],"variation":[73,180],"regularized":[74],"auto-weighted":[75,158],"ring":[77],"(TR)":[78],"(SQV-AwTR)":[80],"proposed":[82,211],"explore":[84,104],"multiple-layer":[86],"spatial-spectral":[87],"priors":[88,139],"HSI.":[90,200],"original":[92],"HSI":[93],"decomposed":[95],"into":[96,181],"feature":[98,199],"basis":[102,197],"first-layer":[106],"low-rankness.":[108],"To":[109],"second-layer":[112],"prior,":[114],"TR":[115,142,170],"applied":[118],"obtain":[120],"effective":[122],"low-rankness":[123],"approximation":[124],"low":[126],"computational":[127],"complexity.":[128],"nuclear":[131],"norm":[132],"employed":[134],"describe":[136],"underlying":[137],"factors,":[143],"which":[144],"address":[145],"deficiency":[147],"rank":[150],"robustness":[151],"enhance":[153],"quality.":[156],"An":[157],"mechanism":[159],"utilized":[161],"account":[163],"for":[164],"varying":[166],"contributions":[167],"different":[169],"factors":[171],"Moreover,":[176],"embedding":[177],"subspace":[182],"enhances":[184],"smoothness":[186],"continuity.":[188],"Alternating":[189],"minimization":[190],"used":[192],"optimize":[194],"Through":[201],"comparative":[202],"experiments":[203],"three":[205],"datasets,":[206],"superiority":[208],"demonstrated.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}