{"id":"https://openalex.org/W3167368985","doi":"https://doi.org/10.1109/jstars.2021.3076793","title":"T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation","display_name":"T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3167368985","doi":"https://doi.org/10.1109/jstars.2021.3076793","mag":"3167368985"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3076793","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3076793","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09420231.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/ielx7/4609443/9314330/09420231.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037508253","display_name":"Shanshan Xu","orcid":"https://orcid.org/0000-0002-7882-5569"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan-Shan Xu","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065782725","display_name":"Ting\u2010Zhu Huang","orcid":"https://orcid.org/0000-0001-7766-230X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Zhu Huang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7766-230X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635622","display_name":"Jie Lin","orcid":"https://orcid.org/0000-0001-7223-0735"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lin","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7223-0735","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454404","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-5052-5919"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-5052-5919","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.3881,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60079676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"14","issue":null,"first_page":"4842","last_page":"4853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7756092548370361},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.760840892791748},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7131367325782776},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6275244355201721},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5467809438705444},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.5256544351577759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5176023244857788},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5122556090354919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4976556599140167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4831821024417877},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4579964280128479},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4344182014465332},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.41330185532569885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41312843561172485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26468122005462646},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21876847743988037},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.11051985621452332},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.0771748423576355},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07383409142494202}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7756092548370361},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.760840892791748},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7131367325782776},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6275244355201721},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5467809438705444},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.5256544351577759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5176023244857788},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5122556090354919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4976556599140167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4831821024417877},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4579964280128479},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4344182014465332},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.41330185532569885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41312843561172485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26468122005462646},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21876847743988037},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.11051985621452332},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0771748423576355},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07383409142494202},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3076793","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3076793","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09420231.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:e56fff65ed374d03a9110b036d6a762c","is_oa":true,"landing_page_url":"https://doaj.org/article/e56fff65ed374d03a9110b036d6a762c","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 14, Pp 4842-4853 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3076793","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3076793","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09420231.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":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2751002267","display_name":"\u538b\u7f29\u611f\u77e5\u4e2d\u56fe\u50cf\u91cd\u5efa\u7684\u7a00\u758f\u4f18\u5316\u6a21\u578b\u4e0e\u9ad8\u6027\u80fd\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7305357247","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G8330053271","display_name":null,"funder_award_id":"61876203","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"},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167368985.pdf","grobid_xml":"https://content.openalex.org/works/W3167368985.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1967138577","https://openalex.org/W1977355761","https://openalex.org/W1994040806","https://openalex.org/W1997164347","https://openalex.org/W2030927653","https://openalex.org/W2043571470","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2091449379","https://openalex.org/W2129732816","https://openalex.org/W2129953395","https://openalex.org/W2133665775","https://openalex.org/W2163973643","https://openalex.org/W2184824032","https://openalex.org/W2296616510","https://openalex.org/W2344025572","https://openalex.org/W2396298261","https://openalex.org/W2508114009","https://openalex.org/W2605190428","https://openalex.org/W2743606449","https://openalex.org/W2764323333","https://openalex.org/W2766895620","https://openalex.org/W2790528326","https://openalex.org/W2790888198","https://openalex.org/W2791884754","https://openalex.org/W2793515883","https://openalex.org/W2798427787","https://openalex.org/W2884144629","https://openalex.org/W2897892494","https://openalex.org/W2901505364","https://openalex.org/W2911912801","https://openalex.org/W2914736033","https://openalex.org/W2918885597","https://openalex.org/W2944375193","https://openalex.org/W2948962630","https://openalex.org/W2953843381","https://openalex.org/W2963315679","https://openalex.org/W2972301798","https://openalex.org/W2972366341","https://openalex.org/W2977424732","https://openalex.org/W2979001238","https://openalex.org/W2979442703","https://openalex.org/W2980079746","https://openalex.org/W2982007765","https://openalex.org/W2983582331","https://openalex.org/W2987475181","https://openalex.org/W2994151504","https://openalex.org/W3011789951","https://openalex.org/W3017506038","https://openalex.org/W3021083191","https://openalex.org/W3027112496","https://openalex.org/W3035318978","https://openalex.org/W3052044215","https://openalex.org/W3080504037","https://openalex.org/W3087959468","https://openalex.org/W3102186658","https://openalex.org/W3115008168","https://openalex.org/W3118914778","https://openalex.org/W3120342934","https://openalex.org/W3121070394","https://openalex.org/W3132491426","https://openalex.org/W3133841201","https://openalex.org/W3139312239","https://openalex.org/W4250955649","https://openalex.org/W4288595890","https://openalex.org/W6735741519","https://openalex.org/W6760637997"],"related_works":["https://openalex.org/W2782904003","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W4226434912","https://openalex.org/W2002598339","https://openalex.org/W1995410415","https://openalex.org/W2133814741","https://openalex.org/W4301603585","https://openalex.org/W3108343813","https://openalex.org/W2482295163"],"abstract_inverted_index":{"This":[0],"article":[1],"aims":[2],"to":[3,29,100,119],"solve":[4,120],"the":[5,8,24,38,43,47,53,57,77,80,102,121,126,129,141],"problem":[6],"of":[7,27,46,56,128],"hyperspectral":[9,17],"imagery":[10],"(HSI)":[11],"demosaicing":[12,68],"under":[13,125],"a":[14,31,65,89,107],"novel":[15],"subsampling":[16,28],"sensing":[18],"strategy.":[19],"The":[20],"existing":[21],"method":[22,143],"utilizes":[23],"periodic":[25],"structure":[26,55],"estimate":[30],"fixed":[32],"subspace":[33,48,73,104],"in":[34,49,148],"matrix":[35],"form":[36],"from":[37],"measurement":[39],"result,":[40],"which":[41,75],"reduces":[42],"representation":[44,110],"ability":[45],"iterations":[50],"and":[51,79,151],"destroys":[52],"intrinsic":[54],"tensor.":[58],"To":[59],"overcome":[60],"these":[61],"drawbacks,":[62],"we":[63,87,114],"propose":[64],"tensor-based":[66],"HSI":[67],"(T-Hy-demosaicing)":[69],"model":[70,124],"with":[71],"tensor":[72,90,103],"representation,":[74],"takes":[76],"low-tubal-rankness":[78],"nonlocal":[81],"self-similarity":[82],"into":[83],"account.":[84],"In":[85,112],"particular,":[86],"suggest":[88],"singular":[91],"value":[92],"decomposition":[93],"based":[94],"on":[95,136],"orthogonal":[96],"transformation":[97],"(Tran-based":[98],"t-SVD)":[99],"learn":[101],"that":[105,140],"possesses":[106],"more":[108],"powerful":[109],"ability.":[111],"addition,":[113],"develop":[115],"an":[116],"effective":[117],"algorithm":[118],"proposed":[122,142],"nonconvex":[123],"framework":[127],"proximal":[130],"alternating":[131],"minimization":[132],"algorithm.":[133],"Experiments":[134],"conducted":[135],"simulated":[137],"datasets":[138],"illustrate":[139],"outperforms":[144],"other":[145],"comparative":[146],"methods":[147],"both":[149],"visual":[150],"quantitative":[152],"terms.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}