{"id":"https://openalex.org/W2118505949","doi":"https://doi.org/10.1109/lgrs.2015.2481321","title":"Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images","display_name":"Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images","publication_year":2015,"publication_date":"2015-10-08","ids":{"openalex":"https://openalex.org/W2118505949","doi":"https://doi.org/10.1109/lgrs.2015.2481321","mag":"2118505949"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2481321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2481321","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01203269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109224600","display_name":"Mathieu Fauvel","orcid":null},"institutions":[{"id":"https://openalex.org/I205747304","display_name":"Institut National Polytechnique de Toulouse","ror":"https://ror.org/033p9g875","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304"]},{"id":"https://openalex.org/I4387155609","display_name":"Dynamiques et \u00e9cologie des paysages agriforestiers","ror":"https://ror.org/04wa4se75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210088668","https://openalex.org/I4210131653","https://openalex.org/I4387155609"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mathieu Fauvel","raw_affiliation_strings":["UMR 1201 DYNAFOR INRA, Institut National Polytechnique de Toulouse, Toulouse, France","Dynamiques Foresti\u00e8res dans l'Espace Rural"],"affiliations":[{"raw_affiliation_string":"UMR 1201 DYNAFOR INRA, Institut National Polytechnique de Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I205747304","https://openalex.org/I4387155609"]},{"raw_affiliation_string":"Dynamiques Foresti\u00e8res dans l'Espace Rural","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332724","display_name":"Charles Bouveyron","orcid":"https://orcid.org/0000-0002-6956-4491"},"institutions":[{"id":"https://openalex.org/I110736937","display_name":"D\u00e9l\u00e9gation Paris 5","ror":"https://ror.org/02e0y6e06","country_code":"FR","type":"government","lineage":["https://openalex.org/I110736937","https://openalex.org/I154526488"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I4387154194","display_name":"Institut des Mat\u00e9riaux Poreux de Paris","ror":"https://ror.org/04v668f18","country_code":null,"type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I2746051580","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4387154194","https://openalex.org/I98910050"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charles Bouveyron","raw_affiliation_strings":["Laboratoire MAP5, UMR CNRS 8145, Universit\u00e9 Paris Descartes & Sorbonne Paris Cit\u00e9, Paris, France","Math\u00e9matiques Appliqu\u00e9es Paris 5"],"affiliations":[{"raw_affiliation_string":"Laboratoire MAP5, UMR CNRS 8145, Universit\u00e9 Paris Descartes & Sorbonne Paris Cit\u00e9, Paris, France","institution_ids":["https://openalex.org/I110736937","https://openalex.org/I4210091437","https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4387154194","https://openalex.org/I4387154995"]},{"raw_affiliation_string":"Math\u00e9matiques Appliqu\u00e9es Paris 5","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024005264","display_name":"St\u00e9phane Girard","orcid":"https://orcid.org/0000-0003-0098-2369"},"institutions":[{"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":"Stephane Girard","raw_affiliation_strings":["Team MISTIS, INRIA Grenoble Rh\u00f4ne-Alpes & LJK, Montbonnot-Saint-Martin, France","Modelling and Inference of Complex and Structured Stochastic Systems"],"affiliations":[{"raw_affiliation_string":"Team MISTIS, INRIA Grenoble Rh\u00f4ne-Alpes & LJK, Montbonnot-Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I4210149092"]},{"raw_affiliation_string":"Modelling and Inference of Complex and Structured Stochastic Systems","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109224600"],"corresponding_institution_ids":["https://openalex.org/I205747304","https://openalex.org/I4387155609"],"apc_list":null,"apc_paid":null,"fwci":1.262,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84009834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":"12","first_page":"2423","last_page":"2427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9781000018119812,"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":0.7681828737258911},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6746795773506165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6666362285614014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6461473703384399},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6322333812713623},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6255732774734497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752473473548889},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49550044536590576},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4393467903137207},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4301999509334564},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4224192500114441},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4155113399028778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3631855845451355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34658169746398926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33394855260849},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21845293045043945}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7681828737258911},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6746795773506165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6666362285614014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6461473703384399},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6322333812713623},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6255732774734497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752473473548889},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49550044536590576},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4393467903137207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4301999509334564},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4224192500114441},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4155113399028778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3631855845451355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34658169746398926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33394855260849},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21845293045043945},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2015.2481321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2481321","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.954.5798","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.954.5798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://hal.archives-ouvertes.fr/hal-01203269/document/","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01203269v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01203269","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2015, 12 (12), pp.2423-2427. ⟨10.1109/lgrs.2015.2481321⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01203269v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01203269","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2015, 12 (12), pp.2423-2427. ⟨10.1109/lgrs.2015.2481321⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W59495185","https://openalex.org/W628438000","https://openalex.org/W1515857894","https://openalex.org/W1523271034","https://openalex.org/W1982901903","https://openalex.org/W1986789917","https://openalex.org/W1990653740","https://openalex.org/W2001298023","https://openalex.org/W2012797058","https://openalex.org/W2046649434","https://openalex.org/W2067160380","https://openalex.org/W2068067793","https://openalex.org/W2096201283","https://openalex.org/W2100781145","https://openalex.org/W2101156082","https://openalex.org/W2101234009","https://openalex.org/W2101711129","https://openalex.org/W2104269704","https://openalex.org/W2129476886","https://openalex.org/W2130381972","https://openalex.org/W2136251662","https://openalex.org/W2158413235","https://openalex.org/W2303501228","https://openalex.org/W2478493250","https://openalex.org/W4238240379","https://openalex.org/W4302190632","https://openalex.org/W6653770114","https://openalex.org/W6675354045","https://openalex.org/W6683645957"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655"],"abstract_inverted_index":{"A":[0,14],"family":[1],"of":[2,32,69],"parsimonious":[3],"Gaussian":[4],"process":[5],"models":[6,22,34,63],"for":[7,47],"classification":[8,70],"is":[9,17,41],"proposed":[10,62],"in":[11,23,67],"this":[12],"letter.":[13],"subspace":[15],"assumption":[16],"used":[18],"to":[19,35],"build":[20],"these":[21],"the":[24,33],"kernel":[25],"feature":[26],"space.":[27],"By":[28],"constraining":[29],"some":[30],"parameters":[31],"be":[36],"common":[37],"between":[38],"classes,":[39],"parsimony":[40],"controlled.":[42],"Experimental":[43],"results":[44,66],"are":[45,55],"given":[46],"three":[48,58],"real":[49],"hyperspectral":[50],"data":[51],"sets,":[52],"and":[53,72],"comparisons":[54],"done":[56],"with":[57],"other":[59],"classifiers.":[60],"The":[61],"show":[64],"good":[65],"terms":[68],"accuracy":[71],"processing":[73],"time.":[74]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}