{"id":"https://openalex.org/W2317049507","doi":"https://doi.org/10.1109/jstars.2015.2495128","title":"Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units","display_name":"Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units","publication_year":2015,"publication_date":"2015-11-25","ids":{"openalex":"https://openalex.org/W2317049507","doi":"https://doi.org/10.1109/jstars.2015.2495128","mag":"2317049507"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2495128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2495128","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,"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"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/JSTARS.2015.2495128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062774236","display_name":"Jaime Delgado","orcid":"https://orcid.org/0000-0003-1366-663X"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jaime Delgado","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049054067","display_name":"Gabriel Mart\u00edn","orcid":"https://orcid.org/0000-0001-8496-6459"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Gabriel Martin","raw_affiliation_strings":["Instituto de Telecomunicac\u00e7\u00f5es, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicac\u00e7\u00f5es, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010624980","display_name":"Javier Plaza","orcid":"https://orcid.org/0000-0002-2384-9141"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031229555","display_name":"Luis Ignacio Jim\u00e9nez","orcid":"https://orcid.org/0000-0001-6386-9115"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Ignacio Jimenez","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Computer Technology and Communications, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062774236"],"corresponding_institution_ids":["https://openalex.org/I80606768"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.3674,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9363341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"2","first_page":"952","last_page":"961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9921000003814697,"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":0.9894000291824341,"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/endmember","display_name":"Endmember","score":0.9721560478210449},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9465141296386719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623873949050903},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7485111951828003},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5620943307876587},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.5559614896774292},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4827215373516083},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4600503444671631},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4525531828403473},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.44115781784057617},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.4341222643852234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42738503217697144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4219611585140228},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4193722903728485},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4023389220237732},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.3003271818161011},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.16897782683372498},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16611146926879883},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10199922323226929},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.09480869770050049}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9721560478210449},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9465141296386719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623873949050903},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7485111951828003},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5620943307876587},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.5559614896774292},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4827215373516083},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4600503444671631},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4525531828403473},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.44115781784057617},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.4341222643852234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42738503217697144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4219611585140228},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4193722903728485},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4023389220237732},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.3003271818161011},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.16897782683372498},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16611146926879883},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10199922323226929},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.09480869770050049},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2015.2495128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2495128","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,"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:uvadoc.uva.es:10324/65182","is_oa":false,"landing_page_url":"https://uvadoc.uva.es/handle/10324/65182","pdf_url":null,"source":{"id":"https://openalex.org/S4306400688","display_name":"University of Valladolid Documentary Repository (University of Valladolid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108103353","host_organization_name":"Universidad de Valladolid","host_organization_lineage":["https://openalex.org/I108103353"],"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":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:zenodo.org:10617938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/JSTARS.2015.2495128","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 952 - 961, (2016-02)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:10617938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/JSTARS.2015.2495128","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 952 - 961, (2016-02)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5140851658","display_name":null,"funder_award_id":"SFRH/BPD/94160/2013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7693132339","display_name":null,"funder_award_id":"PTDC/EEI-PRO/1470/2012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8340193904","display_name":null,"funder_award_id":"UID/EEA/50008/2013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2022470997","https://openalex.org/W2032861822","https://openalex.org/W2054973482","https://openalex.org/W2061280223","https://openalex.org/W2070781258","https://openalex.org/W2077239519","https://openalex.org/W2092840066","https://openalex.org/W2099050431","https://openalex.org/W2099703033","https://openalex.org/W2102159812","https://openalex.org/W2117741752","https://openalex.org/W2128090514","https://openalex.org/W2153885347","https://openalex.org/W2156220628","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2322575893"],"related_works":["https://openalex.org/W2484085657","https://openalex.org/W2037328426","https://openalex.org/W2680647589","https://openalex.org/W2540881241","https://openalex.org/W1989926799","https://openalex.org/W2092363223","https://openalex.org/W2098149888","https://openalex.org/W2976811157","https://openalex.org/W1994705495","https://openalex.org/W1995088959"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,42,118],"is":[2],"an":[3,143],"important":[4],"technique":[5],"for":[6,58,135,170],"hyperspectral":[7,44,172],"data":[8,45,173],"exploitation.":[9],"It":[10],"amounts":[11],"at":[12],"finding":[13],"a":[14],"set":[15],"of":[16,21,36,43,61,95,101,128,145],"pure":[17,71],"spectral":[18,41,117],"signatures":[19],"(endmembers)":[20],"the":[22,27,59,75,93,102,116,177],"most":[23,85,105],"representative":[24,99],"materials":[25],"in":[26,50,97],"scene,":[28],"and":[29,157],"estimating":[30],"their":[31],"abundance":[32],"fractions.":[33],"The":[34],"integration":[35],"spatial":[37,76],"information":[38],"prior":[39,83],"to":[40,66,84,115],"has":[46],"attracted":[47],"much":[48],"attention":[49],"recent":[51],"years.":[52],"Several":[53],"approaches":[54],"have":[55,131],"been":[56,132],"developed":[57,134],"purpose":[60],"guiding":[62],"endmember":[63,88],"identification":[64,89],"algorithms":[65],"spatially":[67,98],"representative,":[68],"yet":[69],"spectrally":[70],"endmembers.":[72],"In":[73,120],"particular,":[74],"preprocessing":[77],"(SPP)":[78],"algorithm":[79],"can":[80,167],"be":[81,168],"used":[82],"existing":[86],"spectral-based":[87],"techniques,":[90],"thus":[91],"promoting":[92],"selection":[94],"endmembers":[96],"areas":[100],"scene.":[103],"However,":[104],"SPP":[106,129],"techniques":[107,147],"are":[108],"computationally":[109],"expensive,":[110],"which":[111,161],"adds":[112],"significant":[113],"burden":[114],"process.":[119],"this":[121],"paper,":[122],"we":[123],"present":[124],"three":[125],"parallel":[126],"implementations":[127],"that":[130,163],"specifically":[133],"commodity":[136],"graphics":[137],"processing":[138,165],"units":[139],"(GPUs).":[140],"We":[141],"perform":[142],"evaluation":[144],"these":[146],"using":[148],"two":[149],"GPU":[150],"architectures":[151],"from":[152],"NVidia:":[153],"GeForce":[154,158],"GTX":[155,159],"580":[156],"870M,":[160],"reveals":[162],"real-time":[164],"performance":[166],"obtained":[169],"real":[171],"sets":[174],"collected":[175],"by":[176],"airborne":[178],"visible":[179],"infra-red":[180],"imaging":[181],"spectrometer":[182],"(AVIRIS).":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
