{"id":"https://openalex.org/W2766597740","doi":"https://doi.org/10.1109/whispers.2013.8080709","title":"Spectral-spatial pre-processing using multi-resolution 3D wavelets for hyperspectral image classification","display_name":"Spectral-spatial pre-processing using multi-resolution 3D wavelets for hyperspectral image classification","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2766597740","doi":"https://doi.org/10.1109/whispers.2013.8080709","mag":"2766597740"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080709","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":"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/A5030781176","display_name":"Xavier Hadoux","orcid":"https://orcid.org/0000-0002-4524-3706"},"institutions":[{"id":"https://openalex.org/I4210088087","display_name":"Ing\u00e9nierie des Agropolym\u00e8res et Technologies Emergentes","ror":"https://ror.org/0000n5x09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I19894307","https://openalex.org/I24906876","https://openalex.org/I4210088087","https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I4387153250","display_name":"Technologies & m\u00e9thodes pour les agricultures de demain","ror":"https://ror.org/00ftatp57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4387153250","https://openalex.org/I4399657933"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Hadoux","raw_affiliation_strings":["Irstea UMR ITAP, Montpellier Cedex 5, France","UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Irstea UMR ITAP, Montpellier Cedex 5, France","institution_ids":[]},{"raw_affiliation_string":"UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)","institution_ids":["https://openalex.org/I4210088087","https://openalex.org/I4387153250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051697460","display_name":"Nathalie Gorretta","orcid":"https://orcid.org/0000-0002-4723-9516"},"institutions":[{"id":"https://openalex.org/I4210088087","display_name":"Ing\u00e9nierie des Agropolym\u00e8res et Technologies Emergentes","ror":"https://ror.org/0000n5x09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I19894307","https://openalex.org/I24906876","https://openalex.org/I4210088087","https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I4387153250","display_name":"Technologies & m\u00e9thodes pour les agricultures de demain","ror":"https://ror.org/00ftatp57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4387153250","https://openalex.org/I4399657933"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nathalie Gorretta","raw_affiliation_strings":["Irstea UMR ITAP, Montpellier Cedex 5, France","UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Irstea UMR ITAP, Montpellier Cedex 5, France","institution_ids":[]},{"raw_affiliation_string":"UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)","institution_ids":["https://openalex.org/I4210088087","https://openalex.org/I4387153250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105466094","display_name":"Gilles Rabatel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088087","display_name":"Ing\u00e9nierie des Agropolym\u00e8res et Technologies Emergentes","ror":"https://ror.org/0000n5x09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I19894307","https://openalex.org/I24906876","https://openalex.org/I4210088087","https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I4387153250","display_name":"Technologies & m\u00e9thodes pour les agricultures de demain","ror":"https://ror.org/00ftatp57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4387153250","https://openalex.org/I4399657933"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Rabatel","raw_affiliation_strings":["Irstea UMR ITAP, Montpellier Cedex 5, France","UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Irstea UMR ITAP, Montpellier Cedex 5, France","institution_ids":[]},{"raw_affiliation_string":"UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)","institution_ids":["https://openalex.org/I4210088087","https://openalex.org/I4387153250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014553861","display_name":"Jean\u2010Michel Roger","orcid":"https://orcid.org/0000-0003-2123-5266"},"institutions":[{"id":"https://openalex.org/I4210088087","display_name":"Ing\u00e9nierie des Agropolym\u00e8res et Technologies Emergentes","ror":"https://ror.org/0000n5x09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I19894307","https://openalex.org/I24906876","https://openalex.org/I4210088087","https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I4387153250","display_name":"Technologies & m\u00e9thodes pour les agricultures de demain","ror":"https://ror.org/00ftatp57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210117091","https://openalex.org/I4387153250","https://openalex.org/I4399657933"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Roger","raw_affiliation_strings":["Irstea UMR ITAP, Montpellier Cedex 5, France","UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Irstea UMR ITAP, Montpellier Cedex 5, France","institution_ids":[]},{"raw_affiliation_string":"UMR ITAP - Information \u2013 Technologies \u2013 Analyse Environnementale \u2013 Proc\u00e9d\u00e9s Agricoles (361, rue J.F. Breton - BP 5095 - 34033 Montpellier Cedex 1 - France)","institution_ids":["https://openalex.org/I4210088087","https://openalex.org/I4387153250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085689143","display_name":"Olivier Strauss","orcid":"https://orcid.org/0000-0003-4485-772X"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Strauss","raw_affiliation_strings":["LIRMM Universit\u00e9Montpellier II, Montpellier Cedex 5, France","ICAR - Image & Interaction (LIRMM, 161 rue Ada, 34000 Montpellier - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIRMM Universit\u00e9Montpellier II, Montpellier Cedex 5, France","institution_ids":["https://openalex.org/I4210101743"]},{"raw_affiliation_string":"ICAR - Image & Interaction (LIRMM, 161 rue Ada, 34000 Montpellier - France)","institution_ids":["https://openalex.org/I4210101743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38587465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9993000030517578,"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":0.9993000030517578,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9282629489898682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6958955526351929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.648356556892395},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.6108167171478271},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6023643016815186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5911217927932739},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5776007771492004},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.546148419380188},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.522607147693634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4621141254901886},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46152061223983765},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4516807794570923},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43340247869491577},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42201676964759827},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4190806448459625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.346513032913208},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31631749868392944},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19647067785263062},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11353147029876709}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9282629489898682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6958955526351929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.648356556892395},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.6108167171478271},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6023643016815186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5911217927932739},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5776007771492004},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.546148419380188},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.522607147693634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4621141254901886},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46152061223983765},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4516807794570923},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43340247869491577},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42201676964759827},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4190806448459625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.346513032913208},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31631749868392944},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19647067785263062},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11353147029876709},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2013.8080709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080709","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-02599309v1","is_oa":false,"landing_page_url":"https://hal.inrae.fr/hal-02599309","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Jun 2013, Gainesville, FL, United States. pp.1-4, ⟨10.1109/WHISPERS.2013.8080709⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W109013405","https://openalex.org/W1592970628","https://openalex.org/W1980148204","https://openalex.org/W2020860387","https://openalex.org/W2051622488","https://openalex.org/W2059089906","https://openalex.org/W2068283358","https://openalex.org/W2091745481","https://openalex.org/W2118276298","https://openalex.org/W2121589389","https://openalex.org/W2132984323","https://openalex.org/W2134594501","https://openalex.org/W2533019003"],"related_works":["https://openalex.org/W4386427838","https://openalex.org/W2073144795","https://openalex.org/W1663117947","https://openalex.org/W2911259277","https://openalex.org/W2889956472","https://openalex.org/W2318111460","https://openalex.org/W2321358738","https://openalex.org/W337157628","https://openalex.org/W1982418987","https://openalex.org/W2157439701"],"abstract_inverted_index":{"In":[0,66],"the":[1,29,52,59,69,82,95],"context":[2],"of":[3,54,81],"precision":[4],"agriculture,":[5],"hyperspectral":[6,64,83],"image":[7,87],"classification":[8,37,123],"has":[9],"already":[10,50],"proved":[11],"its":[12],"potential":[13,53],"to":[14],"classify":[15],"highly":[16],"similar":[17],"vegetation":[18],"that":[19,42],"could":[20],"not":[21,33],"be":[22],"achieved":[23],"with":[24,45,113],"standard":[25,117],"RGB":[26],"camera.":[27],"However,":[28],"in-field":[30],"conditions":[31],"do":[32],"allow":[34],"a":[35,75],"perfect":[36],"while":[38],"using":[39,74],"conventional":[40],"methods":[41,55],"only":[43],"deal":[44],"spectral":[46,118],"information.":[47],"Several":[48],"study":[49],"showed":[51],"taking":[56],"into":[57],"account":[58],"spatial":[60],"information":[61,71],"embedded":[62],"within":[63],"images.":[65],"this":[67,114],"paper,":[68],"spectral-spatial":[70],"is":[72,88,106],"enhanced":[73],"3D":[76],"multi-resolution":[77],"discrete":[78],"wavelet":[79,101],"decomposition":[80],"image.":[84],"The":[85],"smoothed":[86],"obtained":[89,112],"by":[90],"zeroing":[91],"noisy":[92],"coefficients":[93],"in":[94],"appropriate":[96],"decomposed":[97],"data":[98],"cube":[99],"before":[100],"reconstruction.":[102],"Then,":[103],"Partial-Least-Squares":[104],"Linear-Discriminant-Analysis":[105],"applied":[107],"for":[108],"classification.":[109],"Experimental":[110],"results":[111],"method":[115,124],"outperformed":[116],"pre-processing":[119],"and":[120],"also":[121],"non-linear":[122],"such":[125],"as":[126],"SVM.":[127]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}