{"id":"https://openalex.org/W2292987679","doi":"https://doi.org/10.1109/icip.2015.7351663","title":"Low-rank tensor decomposition based anomaly detection for hyperspectral imagery","display_name":"Low-rank tensor decomposition based anomaly detection for hyperspectral imagery","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2292987679","doi":"https://doi.org/10.1109/icip.2015.7351663","mag":"2292987679"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102876039","display_name":"Shuangjiang Li","orcid":"https://orcid.org/0000-0001-6968-2458"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuangjiang Li","raw_affiliation_strings":["EECS Dept., University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS Dept., University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896142","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1557-5304"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["EECS Dept., University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS Dept., University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072730926","display_name":"Hairong Qi","orcid":"https://orcid.org/0000-0002-2693-5520"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hairong Qi","raw_affiliation_strings":["EECS Dept., University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS Dept., University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088784476","display_name":"Bulent Ayhan","orcid":"https://orcid.org/0000-0003-2813-9058"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I4210164701","display_name":"Signal Systems Corporation (United States)","ror":"https://ror.org/04zvkqw17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bulent Ayhan","raw_affiliation_strings":["Signal Processing Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I4210164701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083651030","display_name":"Chiman Kwan","orcid":"https://orcid.org/0000-0002-4341-0769"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I4210164701","display_name":"Signal Systems Corporation (United States)","ror":"https://ror.org/04zvkqw17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiman Kwan","raw_affiliation_strings":["Signal Processing Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I4210164701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044125685","display_name":"S. Vance","orcid":"https://orcid.org/0000-0002-4242-3293"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Vance","raw_affiliation_strings":["Jet Propulsion Laboratory, Pasadena, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, Pasadena, CA, USA","institution_ids":["https://openalex.org/I1334627681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4525","last_page":"4529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"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":0.996999979019165,"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":0.9909999966621399,"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":0.8730708360671997},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.8161985874176025},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.731852114200592},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7164688110351562},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6947548389434814},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6833111047744751},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.62422776222229},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6086517572402954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5547387599945068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5167173743247986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3771176338195801},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.2927761673927307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28526872396469116},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13330942392349243},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08305490016937256},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.05911502242088318}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8730708360671997},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.8161985874176025},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.731852114200592},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7164688110351562},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6947548389434814},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6833111047744751},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.62422776222229},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6086517572402954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547387599945068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5167173743247986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3771176338195801},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.2927761673927307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28526872396469116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13330942392349243},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08305490016937256},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.05911502242088318},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2015.7351663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.712.8140","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.712.8140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.eecs.utk.edu/%7Esli22/resources/2015-lowrank-tensor-detection-pub.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1963826206","https://openalex.org/W1994040806","https://openalex.org/W1999136078","https://openalex.org/W2000361322","https://openalex.org/W2018282388","https://openalex.org/W2021794943","https://openalex.org/W2022964106","https://openalex.org/W2024165284","https://openalex.org/W2041403224","https://openalex.org/W2047870694","https://openalex.org/W2060154944","https://openalex.org/W2064141868","https://openalex.org/W2068187760","https://openalex.org/W2088657558","https://openalex.org/W2114486983","https://openalex.org/W2124267685","https://openalex.org/W2137972458","https://openalex.org/W2139452393","https://openalex.org/W2142552707","https://openalex.org/W2145962650","https://openalex.org/W2149552406","https://openalex.org/W4237234927"],"related_works":["https://openalex.org/W1982418987","https://openalex.org/W3112209948","https://openalex.org/W2889956472","https://openalex.org/W2806741695","https://openalex.org/W4386427838","https://openalex.org/W3178760882","https://openalex.org/W4290647774","https://openalex.org/W2116776498","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"becomes":[2],"increasingly":[3],"important":[4],"in":[5],"hyper-spectral":[6],"image":[7],"analysis,":[8],"since":[9],"it":[10],"can":[11],"now":[12],"uncover":[13],"many":[14],"material":[15],"substances":[16],"which":[17,77],"were":[18],"previously":[19],"unresolved":[20],"by":[21],"multi-spectral":[22],"sensors.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29,49,54],"Low-rank":[30],"Tensor":[31],"Decomposition":[32],"based":[33,104],"anomaly":[34,85,100],"Detection":[35],"(LTDD)":[36],"algorithm":[37],"for":[38,99],"Hyperspectral":[39],"Imagery.":[40],"The":[41,102],"HSI":[42],"data":[43,111],"cube":[44],"is":[45,78],"first":[46],"modeled":[47],"as":[48,80],"dense":[50],"low-rank":[51,61,67],"tensor":[52,68,76,98],"plus":[53],"sparse":[55],"tensor.":[56],"Based":[57],"on":[58,105],"the":[59,66,74,81,84,95,114],"obtained":[60],"tensor,":[62],"LTDD":[63,88],"further":[64],"decomposes":[65],"using":[69],"Tucker":[70],"decomposition":[71],"to":[72,94],"extract":[73],"core":[75,97],"treated":[79],"\u201csupport\u201d":[82],"of":[83,116],"spectral":[86],"signatures.":[87],"then":[89],"adopts":[90],"an":[91],"unmixing":[92],"approach":[93],"reconstructed":[96],"detection.":[101],"experiments":[103],"both":[106],"simulated":[107],"and":[108],"real":[109],"hyperspectral":[110],"sets":[112],"verify":[113],"effectiveness":[115],"our":[117],"algorithm.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}