{"id":"https://openalex.org/W2544269784","doi":"https://doi.org/10.1109/whispers.2012.6874265","title":"Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction","display_name":"Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2544269784","doi":"https://doi.org/10.1109/whispers.2012.6874265","mag":"2544269784"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"},"type":"article","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/A5022713039","display_name":"Hao-En Huang","orcid":"https://orcid.org/0000-0002-4265-4729"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-En Huang","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106725197","display_name":"Tsung\u2010Han Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Han Chan","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051935928","display_name":"ArulMurugan Ambikapathi","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"ArulMurugan Ambikapathi","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016986549","display_name":"Wing\u2010Kin Ma","orcid":"https://orcid.org/0000-0001-7314-3537"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wing-Kin Ma","raw_affiliation_strings":["Department of Electronic Engineering, Chinese Univ. Hong Kong, Shatin, N.T., Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese Univ. Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061813280","display_name":"Chong\u2010Yung Chi","orcid":"https://orcid.org/0000-0001-5004-7155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chong-Yung Chi","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua Univ., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5209,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76035283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7830","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":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":0.9936000108718872,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9817000031471252,"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/endmember","display_name":"Endmember","score":0.9233552813529968},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8475358486175537},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7911651134490967},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5925673246383667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5886372327804565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5809161067008972},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5540089011192322},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5456214547157288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416015982627869},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.50757896900177},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5057234764099121},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.49928998947143555},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4682264029979706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33364611864089966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3131360411643982}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9233552813529968},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8475358486175537},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7911651134490967},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5925673246383667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5886372327804565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5809161067008972},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5540089011192322},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5456214547157288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416015982627869},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.50757896900177},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5057234764099121},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.49928998947143555},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4682264029979706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33364611864089966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3131360411643982},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1970099214","https://openalex.org/W2000605727","https://openalex.org/W2045512849","https://openalex.org/W2047870694","https://openalex.org/W2050041778","https://openalex.org/W2106499350","https://openalex.org/W2134328014","https://openalex.org/W2140340527","https://openalex.org/W2406093411","https://openalex.org/W4233760599"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Hyperspectral":[0],"endmember":[1,34,141],"extraction":[2,142],"is":[3,80,107],"a":[4,30,52,83],"process":[5],"to":[6,28,47,81,116],"extract":[7],"end-member":[8],"signatures":[9],"from":[10,87],"the":[11,23,71,77,88,93,99,119,125,130,133],"observed":[12],"hyperspectral":[13],"data":[14,24],"of":[15,20,73,95,121,132],"an":[16],"area.":[17],"The":[18,103],"presence":[19],"outliers":[21,96,122],"in":[22,33,75,98,124],"has":[25],"been":[26],"proved":[27],"pose":[29],"serious":[31],"problem":[32],"extraction.":[35],"In":[36],"this":[37],"paper,":[38],"unlike":[39],"conventional":[40],"outlier":[41,64],"detectors":[42],"which":[43],"may":[44],"be":[45],"sensitive":[46],"window":[48,68],"settings,":[49],"we":[50],"propose":[51],"robust":[53],"affine":[54,85],"set":[55,86],"fitting":[56],"(RASF)":[57],"algorithm":[58,79,106],"for":[59],"joint":[60],"dimension":[61],"reduction":[62],"and":[63,136],"detection":[65],"without":[66],"any":[67],"setting.":[69],"Given":[70],"number":[72,120],"endmembers":[74],"advance,":[76],"RASF":[78,105],"find":[82],"data-representative":[84],"corrupted":[89],"data,":[90],"while":[91],"making":[92],"effects":[94],"minimum,":[97],"least-squares":[100],"error":[101],"sense.":[102],"proposed":[104,134],"then":[108],"combined":[109],"with":[110],"Neyman-Pearson":[111],"hypothesis":[112],"testing,":[113],"termed":[114],"RASF-NP,":[115],"further":[117],"estimate":[118],"present":[123],"data.":[126],"Computer":[127],"simulations":[128],"demonstrate":[129],"efficacy":[131],"method,":[135],"its":[137],"impact":[138],"on":[139],"existing":[140],"algorithms.":[143]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
