{"id":"https://openalex.org/W2625493069","doi":"https://doi.org/10.1109/whispers.2013.8080647","title":"On the use of the Hotelling's T<sup>2</sup> statistic for the hierarchical clustering of hyperspectral data","display_name":"On the use of the Hotelling's T<sup>2</sup> statistic for the hierarchical clustering of hyperspectral data","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2625493069","doi":"https://doi.org/10.1109/whispers.2013.8080647","mag":"2625493069"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"preprint","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/A5080644585","display_name":"Miguel A. Veganzones","orcid":"https://orcid.org/0000-0002-4636-2678"},"institutions":[{"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/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"M.A. Veganzones","raw_affiliation_strings":["Grenoble-INP, GIPSA-lab, Saint Martin d'H\u00e8res, France","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Grenoble-INP, GIPSA-lab, Saint Martin d'H\u00e8res, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001036980","display_name":"Joana Frontera\u2013Pons","orcid":"https://orcid.org/0000-0003-0438-5801"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Frontera-Pons","raw_affiliation_strings":["Sup\u00e9lec, SONDRA Research Alliance, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"Sup\u00e9lec, SONDRA Research Alliance, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","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/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["FR","IS"],"is_corresponding":false,"raw_author_name":"J. Chanussot","raw_affiliation_strings":["Grenoble-INP, GIPSA-lab, Saint Martin d'H\u00e8res, France","University of Iceland [Reykjavik] (S\u00e6mundargata 2, 101 Reykjav\u00edk - Iceland)","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Grenoble-INP, GIPSA-lab, Saint Martin d'H\u00e8res, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"University of Iceland [Reykjavik] (S\u00e6mundargata 2, 101 Reykjav\u00edk - Iceland)","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022689387","display_name":"Jean\u2010Philippe Ovarlez","orcid":"https://orcid.org/0000-0001-8056-4196"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.P. Ovarlez","raw_affiliation_strings":["ONERA DEMR/TSI, French Aerospace Lab, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","ONERA - The French Aerospace Lab [Palaiseau] (F-91761 Palaiseau - France)"],"affiliations":[{"raw_affiliation_string":"ONERA DEMR/TSI, French Aerospace Lab, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"ONERA - The French Aerospace Lab [Palaiseau] (F-91761 Palaiseau - France)","institution_ids":["https://openalex.org/I2801658355"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080644585"],"corresponding_institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46124075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7970301508903503},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.641062319278717},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6311554908752441},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6235051155090332},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5462210178375244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5069894790649414},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.48562851548194885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4848548173904419},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4789220094680786},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4356876611709595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3773999512195587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3737666606903076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33530154824256897}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7970301508903503},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.641062319278717},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6311554908752441},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6235051155090332},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5462210178375244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5069894790649414},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.48562851548194885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4848548173904419},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4789220094680786},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4356876611709595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3773999512195587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3737666606903076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33530154824256897},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2013.8080647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01010382v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01010382","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WHISPERS 2013 - 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Jun 2013, Gainesville, United States. pp.n/c, &#x27E8;10.1109/WHISPERS.2013.8080647&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1502461990","https://openalex.org/W1978239509","https://openalex.org/W2008418230","https://openalex.org/W2016381774","https://openalex.org/W2021814280","https://openalex.org/W2046033161","https://openalex.org/W2067782748","https://openalex.org/W2103286460","https://openalex.org/W2161503240","https://openalex.org/W4205767108"],"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/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"In":[0,76],"this":[1],"work":[2,143],"we":[3,83],"propose":[4],"a":[5,33,59],"hierarchical":[6],"clustering":[7,140],"methodology":[8],"for":[9],"hyperspectral":[10,43,66,107,123],"data":[11,64,67],"based":[12,47],"on":[13,48,147],"the":[14,26,37,49,63,80,85,93,106,116,120,128,131,139,148,151],"Hotelling's":[15,50],"T":[16,51],"<sup":[17,52],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18,53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[19,54],"statistic.":[20,55,154],"For":[21],"each":[22],"hypespectral":[23],"sample":[24,28,95],"data,":[25],"statistical":[27],"mean":[29,96],"is":[30],"calculated":[31],"using":[32],"window-based":[34],"neighborhood.":[35],"Then,":[36],"pairwise":[38],"similarities":[39,99],"between":[40],"any":[41],"two":[42],"samples":[44],"are":[45,100],"computed":[46],"This":[56],"statistic":[57,81],"assumes":[58],"Gaussian":[60],"distribution":[61],"of":[62,115,130,150],"while":[65],"have":[68],"been":[69],"observed":[70],"to":[71,78,92,103],"be":[72,145],"long":[73],"tailed":[74],"distributed.":[75],"order":[77],"improve":[79],"robustness":[82],"use":[84,129,149],"Fixed":[86,132],"Point":[87,133],"estimates,":[88],"and":[89],"compare":[90],"them":[91],"classical":[94],"estimator.":[97],"The":[98],"then":[101],"used":[102],"hierarchically":[104],"cluster":[105],"data.":[108],"We":[109],"give":[110],"some":[111],"preliminary":[112],"qualitative":[113],"results":[114],"proposed":[117],"approach":[118],"over":[119],"Indian":[121],"Pines":[122],"scene.":[124],"Results":[125],"show":[126],"that":[127],"estimator":[134],"does":[135],"not":[136],"significantly":[137],"affect":[138],"results.":[141],"Further":[142],"will":[144],"focused":[146],"robust":[152],"Hotelling":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-22T15:27:11.003080","created_date":"2017-06-23T00:00:00"}