{"id":"https://openalex.org/W1530278140","doi":"https://doi.org/10.1109/tgrs.2010.2091136","title":"Robust Endmember Extraction in the Presence of Anomalies","display_name":"Robust Endmember Extraction in the Presence of Anomalies","publication_year":2010,"publication_date":"2010-12-23","ids":{"openalex":"https://openalex.org/W1530278140","doi":"https://doi.org/10.1109/tgrs.2010.2091136","mag":"1530278140"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2091136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2091136","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5062371354","display_name":"Olga Duran","orcid":"https://orcid.org/0000-0002-1397-6032"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Olga Duran","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK","Faculty of Engineering, Kingston University, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Faculty of Engineering, Kingston University, London, UK","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103426811","display_name":"Maria Petrou","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maria Petrou","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062371354"],"corresponding_institution_ids":["https://openalex.org/I205051169","https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":5.8971,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9575408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"49","issue":"6","first_page":"1986","last_page":"1996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9890000224113464,"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/endmember","display_name":"Endmember","score":0.993524432182312},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8629241585731506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6640592217445374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6007218956947327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615087747573853},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.5116248726844788},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49714091420173645},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4614831805229187},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4138599634170532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29116445779800415},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24786797165870667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11433377861976624},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08962640166282654}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.993524432182312},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8629241585731506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6640592217445374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007218956947327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615087747573853},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.5116248726844788},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49714091420173645},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4614831805229187},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4138599634170532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29116445779800415},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24786797165870667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11433377861976624},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08962640166282654},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2010.2091136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2091136","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.kingston.ac.uk:16476","is_oa":false,"landing_page_url":"http://eprints.kingston.ac.uk/id/eprint/16476/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:eprints.kingston.ac.uk:16779","is_oa":false,"landing_page_url":"http://eprints.kingston.ac.uk/id/eprint/16779/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316437","display_name":"QinetiQ","ror":"https://ror.org/02f60yb64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W18815112","https://openalex.org/W646406210","https://openalex.org/W821066772","https://openalex.org/W1525141767","https://openalex.org/W1995075801","https://openalex.org/W2035368748","https://openalex.org/W2047870694","https://openalex.org/W2050041778","https://openalex.org/W2070424424","https://openalex.org/W2087047251","https://openalex.org/W2098295833","https://openalex.org/W2102159812","https://openalex.org/W2106143085","https://openalex.org/W2106777458","https://openalex.org/W2110802877","https://openalex.org/W2113340030","https://openalex.org/W2114486983","https://openalex.org/W2116639333","https://openalex.org/W2117741752","https://openalex.org/W2118798900","https://openalex.org/W2122141710","https://openalex.org/W2128090514","https://openalex.org/W2129992313","https://openalex.org/W2133100793","https://openalex.org/W2137477104","https://openalex.org/W2143110143","https://openalex.org/W2146820417","https://openalex.org/W2149463972","https://openalex.org/W2151649773","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2158340226","https://openalex.org/W2163202748","https://openalex.org/W2165755981","https://openalex.org/W2170281198","https://openalex.org/W2295820431","https://openalex.org/W2406093411","https://openalex.org/W2496836423","https://openalex.org/W4233760599","https://openalex.org/W6600746663","https://openalex.org/W6659390101","https://openalex.org/W6679316359"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2018409903","https://openalex.org/W2122965290","https://openalex.org/W2039688465","https://openalex.org/W2051369786","https://openalex.org/W4214827030","https://openalex.org/W2955751284","https://openalex.org/W2006559622","https://openalex.org/W2954177691","https://openalex.org/W2060147006"],"abstract_inverted_index":{"Endmember":[0],"extraction":[1],"is":[2],"usually":[3],"based":[4],"on":[5],"the":[6,16,26,43,52,57,74,100,103],"solution":[7],"of":[8,11,18,24,45,61],"a":[9,62,109],"system":[10],"linear":[12,34],"equations":[13],"that":[14,55],"allows":[15],"identification":[17],"some":[19],"basic":[20,53],"spectra":[21,29,54,71],"in":[22,73,88,99,108],"terms":[23],"which":[25],"observed":[27],"mixed":[28],"may":[30],"be":[31],"expressed":[32],"as":[33,64,84,95],"combinations.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"to":[41],"close":[42],"loop":[44],"such":[46],"an":[47],"approach":[48],"by":[49,81],"identifying":[50],"only":[51],"reproduce":[56],"dominant":[58],"cover":[59],"classes":[60],"region":[63],"endmembers,":[65],"and":[66],"distinguishing":[67],"them":[68,113],"from":[69,114],"outlier":[70],"present":[72],"scene.":[75,101],"The":[76],"latter":[77],"are":[78,93],"often":[79],"confused":[80],"other":[82],"methods":[83],"endmember":[85],"spectra,":[86],"whereas":[87],"many":[89],"practical":[90],"applications,":[91],"they":[92],"treated":[94],"anomalies":[96],"or":[97],"targets":[98],"Thus,":[102],"proposed":[104],"method":[105],"identifies":[106],"endmembers":[107],"robust":[110],"way,":[111],"separating":[112],"outliers.":[115]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
