{"id":"https://openalex.org/W4416513037","doi":"https://doi.org/10.1109/lsp.2025.3635010","title":"SPTPCA: Structure-Preserving Tensor Principal Component Analysis for Hyperspectral Dimensionality Reduction","display_name":"SPTPCA: Structure-Preserving Tensor Principal Component Analysis for Hyperspectral Dimensionality Reduction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416513037","doi":"https://doi.org/10.1109/lsp.2025.3635010"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2025.3635010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3635010","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5072202242","display_name":"Alaa El Ichi","orcid":"https://orcid.org/0009-0001-0518-8853"},"institutions":[{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Alaa El Ichi","raw_affiliation_strings":["Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France"],"raw_orcid":"https://orcid.org/0009-0001-0518-8853","affiliations":[{"raw_affiliation_string":"Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France","institution_ids":["https://openalex.org/I3132279224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036984583","display_name":"Olga Assainova","orcid":null},"institutions":[{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olga Assainova","raw_affiliation_strings":["Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France"],"raw_orcid":"https://orcid.org/0009-0008-9664-7533","affiliations":[{"raw_affiliation_string":"Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France","institution_ids":["https://openalex.org/I3132279224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004133655","display_name":"Nadine Abdallah Saab","orcid":null},"institutions":[{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nadine Abdallah Saab","raw_affiliation_strings":["Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Nantes, France","institution_ids":["https://openalex.org/I3132279224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075305664","display_name":"Nesma Settouti","orcid":"https://orcid.org/0000-0003-0460-9713"},"institutions":[{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nesma Settouti","raw_affiliation_strings":["Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Caen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Caen, France","institution_ids":["https://openalex.org/I3132279224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001027089","display_name":"Marwa Elbouz","orcid":"https://orcid.org/0000-0002-9431-4320"},"institutions":[{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marwa El Bouz","raw_affiliation_strings":["Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France"],"raw_orcid":"https://orcid.org/0000-0002-9431-4320","affiliations":[{"raw_affiliation_string":"Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France","institution_ids":["https://openalex.org/I3132279224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044993894","display_name":"Mohammed El Amine Bechar","orcid":"https://orcid.org/0000-0002-9569-357X"},"institutions":[{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohammed El Amine Bechar","raw_affiliation_strings":["Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France"],"raw_orcid":"https://orcid.org/0000-0002-9569-357X","affiliations":[{"raw_affiliation_string":"Light&#x2013;Scatter&#x2013;Learning (LSL) Group, L@bISEN, ISEN Ouest, Brest, France","institution_ids":["https://openalex.org/I3132279224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072202242"],"corresponding_institution_ids":["https://openalex.org/I3132279224"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45896682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"4469","last_page":"4472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8222000002861023,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8222000002861023,"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/T12303","display_name":"Tensor decomposition and applications","score":0.055399999022483826,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.016699999570846558,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8586999773979187},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7721999883651733},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7526999711990356},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6905999779701233},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.660099983215332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5685999989509583},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.39800000190734863},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3937000036239624},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.3889999985694885}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8586999773979187},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7721999883651733},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7526999711990356},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6905999779701233},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.517300009727478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171999931335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4887000024318695},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.39800000190734863},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3882000148296356},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.36320000886917114},{"id":"https://openalex.org/C64835786","wikidata":"https://www.wikidata.org/wiki/Q17004583","display_name":"Cartesian tensor","level":5,"score":0.35499998927116394},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C2780091087","wikidata":"https://www.wikidata.org/wiki/Q3092131","display_name":"Dimensional reduction","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.32269999384880066},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.3107999861240387},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C90952326","wikidata":"https://www.wikidata.org/wiki/Q3650511","display_name":"Tensor calculus","level":4,"score":0.27320000529289246},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C124007464","wikidata":"https://www.wikidata.org/wiki/Q428091","display_name":"Tensor contraction","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3635010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3635010","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1963826206","https://openalex.org/W1993482030","https://openalex.org/W1997038974","https://openalex.org/W2000015923","https://openalex.org/W2004104348","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2064987453","https://openalex.org/W2136625467","https://openalex.org/W2141200867","https://openalex.org/W2177347332","https://openalex.org/W2588117332","https://openalex.org/W2885452623","https://openalex.org/W3100932715","https://openalex.org/W3127717271","https://openalex.org/W4410294566","https://openalex.org/W4412176035","https://openalex.org/W4412479782"],"related_works":[],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"generates":[2],"high-dimensional":[3],"data":[4],"with":[5],"complex":[6],"spatial-spectral":[7,102],"correlations":[8,103],"that":[9,85],"pose":[10],"significant":[11],"dimensionality":[12,69,139],"reduction":[13,70],"challenges.":[14],"Principal":[15,64],"Component":[16,65],"Analysis":[17,66],"(PCA)":[18],"flattens":[19],"the":[20,74,112],"natural":[21,99],"multidimensional":[22],"tensor":[23,34,55,76,96],"structure":[24,100],"into":[25],"vectors,":[26],"causing":[27],"loss":[28],"of":[29,119,124,129],"critical":[30],"spatial":[31],"relationships.":[32],"Existing":[33],"methods":[35],"including":[36],"Tucker":[37],"decomposition":[38],"and":[39,101,121],"Tensor":[40,63],"Train":[41],"(TT)":[42],"provide":[43],"low-rank":[44],"approximations":[45],"but":[46],"do":[47],"not":[48],"extend":[49],"PCA's":[50],"variance":[51,106],"optimization":[52,107],"framework":[53,84,135],"to":[54],"domains.":[56],"In":[57],"this":[58,87],"paper,":[59],"we":[60],"present":[61],"Structure-Preserving":[62],"(SPTPCA),":[67],"a":[68,132],"method":[71],"based":[72],"on":[73,95,111],"generalized":[75],"<inline-formula":[77],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[78],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[79],"notation=\"LaTeX\">$\\ast":[80],"_{\\mathcal":[81],"{L}}$</tex-math></inline-formula>":[82],"-product":[83],"addresses":[86],"gap.":[88],"Unlike":[89],"standard":[90],"PCA,":[91],"SPTPCA":[92],"operates":[93],"directly":[94],"representations,":[97],"preserving":[98],"while":[104],"maintaining":[105],"properties.":[108],"Experimental":[109],"validation":[110],"Indian":[113],"Pines":[114],"dataset":[115],"demonstrates":[116],"MSE":[117],"reductions":[118],"7.9\u201350.0%":[120],"PSNR":[122],"improvements":[123],"0.35\u20132.59dB":[125],"across":[126],"different":[127],"numbers":[128],"components,":[130],"establishing":[131],"mathematically":[133],"rigorous":[134],"for":[136],"structure-preserving":[137],"hyperspectral":[138],"reduction.":[140]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-23T00:00:00"}