{"id":"https://openalex.org/W2021576853","doi":"https://doi.org/10.1109/jstars.2012.2203587","title":"Dimensionality Reduction of Hyperspectral Images Using Empirical Mode Decompositions and Wavelets","display_name":"Dimensionality Reduction of Hyperspectral Images Using Empirical Mode Decompositions and Wavelets","publication_year":2012,"publication_date":"2012-07-26","ids":{"openalex":"https://openalex.org/W2021576853","doi":"https://doi.org/10.1109/jstars.2012.2203587","mag":"2021576853"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2012.2203587","doi":"https://doi.org/10.1109/jstars.2012.2203587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2012.2203587","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"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/A5079817736","display_name":"Esra Tun\u00e7 G\u00f6rm\u00fc\u015f","orcid":"https://orcid.org/0000-0002-3334-2061","observed_orcids":["https://orcid.org/0000-0002-3334-2061"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Esra Tunc Gormus","raw_affiliation_strings":["Visual Information Laboratory, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK","Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Information Laboratory, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038100177","display_name":"Nishan C. Canagarajah","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nishan Canagarajah","raw_affiliation_strings":["Visual Information Laboratory, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK","Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Information Laboratory, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001624119","display_name":"Alin Achim","orcid":"https://orcid.org/0000-0002-0982-7798","observed_orcids":["https://orcid.org/0000-0002-0982-7798"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alin Achim","raw_affiliation_strings":["Visual Information Laboratory, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK","Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Information Laboratory, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":5.6335,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94988364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"5","issue":"6","first_page":"1821","last_page":"1830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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":0.9976000189781189,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.00039999998989515007,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-image-classification","display_name":"hyperspectral image classification","score":0.9229999780654907},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.9980000257492065},{"id":"https://openalex.org/keywords/empirical-mode-decomposition","display_name":"empirical mode decomposition","score":0.996999979019165},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"wavelet transform","score":0.6930000185966492},{"id":"https://openalex.org/keywords/intrinsic-mode-function","display_name":"intrinsic mode functions","score":0.9300000071525574},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6159999966621399},{"id":"https://openalex.org/keywords/spectral-spatial-information","display_name":"spectral-spatial information","score":0.6790000200271606},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8090000152587891}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8653290271759033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7918616533279419},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7433714270591736},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7354325652122498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7185978889465332},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6387065649032593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827143788337708},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5496090054512024},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47449517250061035},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4375618100166321},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4297497570514679},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4180443584918976},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4156266748905182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40261346101760864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15920031070709229},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2012.2203587","doi":"https://doi.org/10.1109/jstars.2012.2203587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2012.2203587","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/5238d8f7-b53b-4440-bb3a-4ce96cc96de6","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/1983/5238d8f7-b53b-4440-bb3a-4ce96cc96de6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tunc, E, Canagarajah, N & Achim, AM 2012, 'Dimensionality Reduction of Hyperspectral Images Using Empirical Mode Decompositions and Wavelets', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/5238d8f7-b53b-4440-bb3a-4ce96cc96de6","doi":null,"is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/5238d8f7-b53b-4440-bb3a-4ce96cc96de6","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Tunc, E, Canagarajah, N & Achim, AM 2012, 'Dimensionality Reduction of Hyperspectral Images Using Empirical Mode Decompositions and Wavelets', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1574496672","https://openalex.org/W1883308882","https://openalex.org/W1976836781","https://openalex.org/W2001401984","https://openalex.org/W2001859769","https://openalex.org/W2007221293","https://openalex.org/W2009539575","https://openalex.org/W2016015604","https://openalex.org/W2043665634","https://openalex.org/W2083565118","https://openalex.org/W2097075663","https://openalex.org/W2113236250","https://openalex.org/W2115755118","https://openalex.org/W2126796976","https://openalex.org/W2134594501","https://openalex.org/W2134693219","https://openalex.org/W2135198734","https://openalex.org/W2138875020","https://openalex.org/W2140991832","https://openalex.org/W2144516463","https://openalex.org/W2146385425","https://openalex.org/W2155359044","https://openalex.org/W2165761444","https://openalex.org/W2169650425","https://openalex.org/W2217766183","https://openalex.org/W2466713325","https://openalex.org/W2968437203","https://openalex.org/W3120421331","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W2001401984","https://openalex.org/W2126796976","https://openalex.org/W2083565118","https://openalex.org/W2166295799","https://openalex.org/W2022964910","https://openalex.org/W2054042799","https://openalex.org/W2108244544","https://openalex.org/W2101479772","https://openalex.org/W2759949249","https://openalex.org/W184867154"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"method":[5,38,146],"for":[6],"dimensionality":[7,161],"reduction":[8,162],"of":[9,27,45],"hyperspectral":[10,69,126],"images.":[11],"It":[12],"combines":[13],"Empirical":[14],"Mode":[15,93],"Decomposition":[16],"(EMD)":[17],"with":[18,123],"wavelets":[19],"in":[20],"order":[21,112],"to":[22,31,50,58,67,71,80,85,153],"generate":[23],"the":[24,32,46,63,110,144,149],"smallest":[25],"set":[26],"features":[28,104,141,154],"that":[29,140],"leads":[30,49],"best":[33],"classification":[34,60,120,150],"accuracy.":[35,61],"The":[36,89,136],"introduced":[37],"exploits":[39],"both":[40],"spatial":[41,73],"and":[42,52,56,75,133],"spectral":[43,87],"information":[44,74],"image":[47],"which":[48],"more":[51],"better":[53,59],"class":[54],"separability":[55],"hence":[57],"Specifically,":[62],"2D-EMD":[64],"is":[65,78,121],"applied":[66,79],"each":[68,81],"band":[70],"enhance":[72,86],"then":[76],"1D-DWT":[77],"EMD":[82],"feature's":[83],"signatures":[84],"information.":[88],"reduced":[90],"Wavelet-based":[91],"Intrinsic":[92],"Function":[94],"Features":[95],"(WIMF)":[96],"are":[97,105],"obtained":[98,142,155],"by":[99,107,143,156],"selecting":[100],"coefficients.":[101],"Then,":[102],"new":[103],"generated":[106],"summing":[108],"up":[109],"lower":[111],"WIMF":[113],"features.":[114],"Support":[115],"Vector":[116],"Machine":[117],"(SVM)":[118],"based":[119,159],"performed":[122],"two":[124],"different":[125],"data":[127],"sets,":[128],"namely":[129],"AVIRIS":[130],"Indian":[131],"Pine":[132],"ROSIS":[134],"Pavia.":[135],"experimental":[137],"results":[138],"show":[139],"proposed":[145],"significantly":[147],"increase":[148],"accuracy":[151],"compared":[152],"other":[157],"frequency":[158],"direct":[160],"methods.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}
