{"id":"https://openalex.org/W2992043621","doi":"https://doi.org/10.1109/whispers.2019.8921385","title":"Sequential Tensor Decomposition For Gas Tracking In Lwir Hyperspectral Video Sequences","display_name":"Sequential Tensor Decomposition For Gas Tracking In Lwir Hyperspectral Video Sequences","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2992043621","doi":"https://doi.org/10.1109/whispers.2019.8921385","mag":"2992043621"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2019.8921385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2019.8921385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-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/A5063323603","display_name":"Suling Tan","orcid":null},"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":true,"raw_author_name":"Suling Tan","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338912","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0001-9316-4749"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Inria, CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Inria, CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034748006","display_name":"Yanfeng Gu","orcid":"https://orcid.org/0000-0003-1625-7989"},"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":"Yanfeng Gu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Inria, CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Inria, CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063323603"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1892,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52699393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9987000226974487,"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":0.9976999759674072,"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":0.941183865070343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061130404472351},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6679688692092896},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6049743294715881},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5894839763641357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5660625696182251},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5393187403678894},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5309258103370667},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.49431371688842773},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4185149669647217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4164339005947113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1643378734588623},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08087649941444397}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.941183865070343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061130404472351},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6679688692092896},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6049743294715881},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5894839763641357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5660625696182251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5393187403678894},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5309258103370667},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.49431371688842773},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4185149669647217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4164339005947113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1643378734588623},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08087649941444397},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2019.8921385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2019.8921385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1556650236","https://openalex.org/W1580188278","https://openalex.org/W1975137787","https://openalex.org/W2056177645","https://openalex.org/W2112447569","https://openalex.org/W2118550318","https://openalex.org/W2141200867","https://openalex.org/W2250124065","https://openalex.org/W2512654947","https://openalex.org/W2513554104","https://openalex.org/W2611008809","https://openalex.org/W2773266593","https://openalex.org/W2901254837","https://openalex.org/W3098446347","https://openalex.org/W4301092444","https://openalex.org/W6608094899","https://openalex.org/W6633541889","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771","https://openalex.org/W4286971555"],"abstract_inverted_index":{"With":[0],"the":[1,32,89,104,122,126],"development":[2],"of":[3,35,53,125],"hyperspectral":[4,7],"imaging":[5],"instruments,":[6],"video":[8],"sequences":[9],"(HVS)":[10],"can":[11,85],"now":[12],"be":[13,86],"acquired":[14],"with":[15],"both":[16],"high":[17,20],"spectral":[18],"and":[19,55,78,103],"temporal":[21],"resolutions,":[22],"allowing":[23],"dynamic":[24],"monitoring":[25],"tasks":[26],"such":[27,36],"as":[28],"gas":[29,67,83],"tracking.":[30],"However,":[31],"effective":[33],"use":[34],"large-scale":[37],"sequential":[38,74],"data":[39,47],"also":[40],"raises":[41],"some":[42],"challenges.":[43],"Directly":[44],"processing":[45],"these":[46],"requires":[48],"dramatic":[49],"needs":[50],"in":[51,69,100],"terms":[52],"memory":[54],"computational":[56],"loads.":[57],"In":[58],"this":[59,112],"paper,":[60],"we":[61],"propose":[62],"a":[63],"novel":[64],"method":[65],"for":[66],"tracking":[68],"HVS,":[70,120],"based":[71],"on":[72,118],"decomposing":[73],"tensors":[75],"into":[76],"low-rank":[77],"error":[79,90],"components,":[80],"respectively.":[81],"The":[82,96],"target":[84],"revealed":[87],"from":[88],"components":[91],"corresponding":[92],"to":[93],"each":[94,101],"frame.":[95],"global":[97],"information":[98],"contained":[99],"frame":[102],"correlation":[105],"between":[106],"adjacent":[107],"frames":[108],"are":[109,116],"exploited":[110],"by":[111],"tensor":[113],"decomposition.":[114],"Experiments":[115],"conducted":[117],"real":[119],"assessing":[121],"good":[123],"performances":[124],"proposed":[127],"method.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
