{"id":"https://openalex.org/W2765099183","doi":"https://doi.org/10.1109/whispers.2014.8077605","title":"A comparative analysis of covariance matrix estimation in anomaly detection","display_name":"A comparative analysis of covariance matrix estimation in anomaly detection","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2765099183","doi":"https://doi.org/10.1109/whispers.2014.8077605","mag":"2765099183"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2014.8077605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (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/A5081107954","display_name":"Santiago Velasco-Forero","orcid":"https://orcid.org/0000-0002-2438-1747"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Santiago Velasco-Forero","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086010156","display_name":"Marcus Y. Chen","orcid":"https://orcid.org/0000-0003-0743-9369"},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Marcus Chen","raw_affiliation_strings":["DSO National Laboratories"],"affiliations":[{"raw_affiliation_string":"DSO National Laboratories","institution_ids":["https://openalex.org/I28490864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103357258","display_name":"Alvina Goh","orcid":null},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Alvina Goh","raw_affiliation_strings":["DSO National Laboratories"],"affiliations":[{"raw_affiliation_string":"DSO National Laboratories","institution_ids":["https://openalex.org/I28490864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068870928","display_name":"Kim Pang Sze","orcid":null},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kim Pang Sze","raw_affiliation_strings":["DSO National Laboratories"],"affiliations":[{"raw_affiliation_string":"DSO National Laboratories","institution_ids":["https://openalex.org/I28490864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081107954"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.3442,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85994302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","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":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/T13890","display_name":"Remote Sensing and Land Use","score":0.9833999872207642,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/covariance-matrix","display_name":"Covariance matrix","score":0.7728703618049622},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.667316198348999},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5801118612289429},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5789467096328735},{"id":"https://openalex.org/keywords/scatter-matrix","display_name":"Scatter matrix","score":0.5531620979309082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5368747115135193},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5237959623336792},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5234474539756775},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5041772127151489},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4846856892108917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4816074073314667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41557180881500244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4090082347393036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34562167525291443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23279505968093872},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06271332502365112}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7728703618049622},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.667316198348999},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5801118612289429},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5789467096328735},{"id":"https://openalex.org/C176917957","wikidata":"https://www.wikidata.org/wiki/Q7430596","display_name":"Scatter matrix","level":4,"score":0.5531620979309082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5368747115135193},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5237959623336792},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5234474539756775},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5041772127151489},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4846856892108917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4816074073314667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41557180881500244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4090082347393036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34562167525291443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23279505968093872},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06271332502365112},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2014.8077605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1503345968","https://openalex.org/W1584444527","https://openalex.org/W1965928820","https://openalex.org/W2000016398","https://openalex.org/W2008330147","https://openalex.org/W2008418230","https://openalex.org/W2039892753","https://openalex.org/W2046351805","https://openalex.org/W2047519171","https://openalex.org/W2047870694","https://openalex.org/W2051108596","https://openalex.org/W2067815145","https://openalex.org/W2074427554","https://openalex.org/W2095251576","https://openalex.org/W2109017219","https://openalex.org/W2118996198","https://openalex.org/W2121862141","https://openalex.org/W2129916000","https://openalex.org/W2136809053","https://openalex.org/W2152385515","https://openalex.org/W2157321686","https://openalex.org/W2554774440","https://openalex.org/W3004366399","https://openalex.org/W6634927326","https://openalex.org/W6667124141","https://openalex.org/W6677508755"],"related_works":["https://openalex.org/W2257909921","https://openalex.org/W1974588588","https://openalex.org/W2572601863","https://openalex.org/W2118568436","https://openalex.org/W2018001152","https://openalex.org/W1978719164","https://openalex.org/W2887132723","https://openalex.org/W2040968278","https://openalex.org/W4390642134","https://openalex.org/W2164924639"],"abstract_inverted_index":{"Different":[0],"methods":[1],"of":[2,11],"covariance":[3,20],"matrix":[4,21,27],"estimation":[5],"are":[6,29],"analysed":[7],"in":[8,14,32],"the":[9],"context":[10],"anomaly":[12],"detection":[13],"hyperspectral":[15],"images.":[16,38],"Regularised":[17],"and":[18,35],"robust":[19],"estimators":[22],"as":[23,25],"well":[24],"sparse":[26],"transform":[28],"quantitatively":[30],"compared":[31],"Dirichlet":[33],"simulations":[34],"real":[36],"HS":[37]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}