{"id":"https://openalex.org/W2020084465","doi":"https://doi.org/10.1109/jstsp.2015.2417833","title":"Dimensionality Reduction via Regression in Hyperspectral Imagery","display_name":"Dimensionality Reduction via Regression in Hyperspectral Imagery","publication_year":2015,"publication_date":"2015-04-20","ids":{"openalex":"https://openalex.org/W2020084465","doi":"https://doi.org/10.1109/jstsp.2015.2417833","mag":"2020084465"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2015.2417833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2417833","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1602.00214","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065281659","display_name":"Valero Laparra","orcid":"https://orcid.org/0000-0001-7531-9890"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Valero Laparra","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Paterna, Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Paterna, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065733630","display_name":"Jes\u00fas Malo","orcid":"https://orcid.org/0000-0002-5684-8591"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Malo","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Paterna, Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Paterna, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustau Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Paterna, Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Paterna, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065281659"],"corresponding_institution_ids":["https://openalex.org/I2801097182"],"apc_list":null,"apc_paid":null,"fwci":6.314,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96604485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":"6","first_page":"1026","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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":0.994700014591217,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7983072996139526},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7690829038619995},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6579804420471191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6140841841697693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680556893348694},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.5065430402755737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5012106895446777},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4996151924133301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4568536877632141},{"id":"https://openalex.org/keywords/diffusion-map","display_name":"Diffusion map","score":0.42503949999809265},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.27258509397506714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21997028589248657}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7983072996139526},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7690829038619995},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6579804420471191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6140841841697693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680556893348694},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.5065430402755737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5012106895446777},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4996151924133301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4568536877632141},{"id":"https://openalex.org/C55128770","wikidata":"https://www.wikidata.org/wiki/Q5275440","display_name":"Diffusion map","level":4,"score":0.42503949999809265},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.27258509397506714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21997028589248657}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2015.2417833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2417833","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1602.00214","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.00214","pdf_url":"https://arxiv.org/pdf/1602.00214","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1602.00214","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.00214","pdf_url":"https://arxiv.org/pdf/1602.00214","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W62275428","https://openalex.org/W65738273","https://openalex.org/W199271301","https://openalex.org/W229472839","https://openalex.org/W1496317909","https://openalex.org/W1510073064","https://openalex.org/W1548802052","https://openalex.org/W1549267002","https://openalex.org/W1568257564","https://openalex.org/W1742512077","https://openalex.org/W1968723695","https://openalex.org/W1978239093","https://openalex.org/W1980881904","https://openalex.org/W2001141328","https://openalex.org/W2005073772","https://openalex.org/W2008056655","https://openalex.org/W2008847349","https://openalex.org/W2016585964","https://openalex.org/W2024886312","https://openalex.org/W2030927192","https://openalex.org/W2043665634","https://openalex.org/W2043811860","https://openalex.org/W2053186076","https://openalex.org/W2059122776","https://openalex.org/W2059852442","https://openalex.org/W2064021428","https://openalex.org/W2064828070","https://openalex.org/W2066015174","https://openalex.org/W2070959866","https://openalex.org/W2075241504","https://openalex.org/W2077336029","https://openalex.org/W2086508678","https://openalex.org/W2086691591","https://openalex.org/W2093304448","https://openalex.org/W2096496077","https://openalex.org/W2100495367","https://openalex.org/W2104269704","https://openalex.org/W2106377637","https://openalex.org/W2107905252","https://openalex.org/W2111282613","https://openalex.org/W2112148214","https://openalex.org/W2119548491","https://openalex.org/W2121122425","https://openalex.org/W2122538988","https://openalex.org/W2124523634","https://openalex.org/W2130405942","https://openalex.org/W2131697388","https://openalex.org/W2136525498","https://openalex.org/W2136654878","https://openalex.org/W2140095548","https://openalex.org/W2142458747","https://openalex.org/W2143354507","https://openalex.org/W2150627493","https://openalex.org/W2155008293","https://openalex.org/W2159874418","https://openalex.org/W2166078937","https://openalex.org/W2170912685","https://openalex.org/W2312997001","https://openalex.org/W2765409183","https://openalex.org/W2999905431","https://openalex.org/W3012233606","https://openalex.org/W3013880646","https://openalex.org/W3021359550","https://openalex.org/W3098421274","https://openalex.org/W3098585936","https://openalex.org/W3099514962","https://openalex.org/W3100742177","https://openalex.org/W3104101404","https://openalex.org/W3145074154","https://openalex.org/W4205778870","https://openalex.org/W4211083646","https://openalex.org/W4231462104","https://openalex.org/W4238957295","https://openalex.org/W4298238668","https://openalex.org/W4299611194","https://openalex.org/W4301501800","https://openalex.org/W4320339642","https://openalex.org/W4376463272","https://openalex.org/W4392021889","https://openalex.org/W6608099645","https://openalex.org/W6674723449","https://openalex.org/W6676938131","https://openalex.org/W6682989981","https://openalex.org/W6745377230","https://openalex.org/W6775374427"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2362377451","https://openalex.org/W2292979300","https://openalex.org/W2088156901","https://openalex.org/W2137369096","https://openalex.org/W2295388844","https://openalex.org/W2385810342","https://openalex.org/W3162048346"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,96],"new":[4],"unsupervised":[5],"method":[6],"for":[7],"dimensionality":[8,73,127],"reduction":[9,46,54,63,74],"via":[10],"regression":[11,42],"(DRR).":[12],"The":[13,90],"algorithm":[14],"belongs":[15],"to":[16,43,88],"the":[17,37,45,50,53,56,59,62,65,76,104,119,122,126,170,174],"family":[18],"of":[19,32,55,58,92,100,121,128,158,169,173,180],"invertible":[20,202],"transforms":[21],"that":[22,194],"generalize":[23],"principal":[24,108,113],"component":[25],"analysis":[26,110,115],"(PCA)":[27],"by":[28],"using":[29],"curvilinear":[30],"instead":[31],"linear":[33,197],"features.":[34],"DRR":[35,84,93,195],"identifies":[36],"nonlinear":[38,72],"features":[39,175],"through":[40],"multivariate":[41],"ensure":[44],"in":[47,64,124,147,178],"redundancy":[48],"between":[49],"PCA":[51,198],"coefficients,":[52],"variance":[57],"scores,":[60],"and":[61,79,86,112,152,165,186,199,209],"reconstruction":[66],"error.":[67,191],"More":[68],"importantly,":[69],"unlike":[70],"other":[71],"methods,":[75],"invertibility,":[77],"volume-preservation,":[78],"straightforward":[80],"out-of-sample":[81],"extension,":[82],"makes":[83],"interpretable":[85],"easy":[87],"apply.":[89],"properties":[91],"enable":[94],"learning":[95],"more":[97],"broader":[98],"class":[99],"data":[101],"manifolds":[102],"than":[103],"recently":[105,200],"proposed":[106,201],"non-linear":[107],"components":[109],"(NLPCA)":[111,208],"polynomial":[114],"(PPA).":[116,212],"We":[117],"illustrate":[118],"performance":[120],"representation":[123],"reducing":[125],"remote":[129],"sensing":[130],"data.":[131],"In":[132],"particular,":[133],"we":[134],"tackle":[135],"two":[136],"common":[137],"problems:":[138],"processing":[139],"very":[140],"high":[141],"dimensional":[142],"spectral":[143],"information":[144],"such":[145],"as":[146],"hyperspectral":[148],"image":[149,156],"sounding":[150],"data,":[151],"dealing":[153],"with":[154],"spatial-spectral":[155],"patches":[157],"multispectral":[159],"images.":[160],"Both":[161],"settings":[162],"pose":[163],"collinearity":[164],"ill-determination":[166],"problems.":[167],"Evaluation":[168],"expressive":[171],"power":[172],"is":[176],"assessed":[177],"terms":[179],"truncation":[181],"error,":[182],"estimating":[183],"atmospheric":[184],"variables,":[185],"surface":[187],"land":[188],"cover":[189],"classification":[190],"Results":[192],"show":[193],"outperforms":[196],"extensions":[203],"based":[204],"on":[205],"neural":[206],"networks":[207],"univariate":[210],"regressions":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}