{"id":"https://openalex.org/W2101596296","doi":"https://doi.org/10.1109/icip.2008.4712143","title":"A CFAR algorithm for anomaly detection and discrimination in hyperspectral images","display_name":"A CFAR algorithm for anomaly detection and discrimination in hyperspectral images","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2101596296","doi":"https://doi.org/10.1109/icip.2008.4712143","mag":"2101596296"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"preprint","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/A5003692611","display_name":"Alexis Huck","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142724","display_name":"Centrale Marseille","ror":"https://ror.org/040baw385","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Alexis Huck","raw_affiliation_strings":["Institut Fresnel, Centrale Marseille,CNRS,Domaine universitaire de St J\u00e9r\u00f4me, Aix Marseille Universit\u00e9, Marseilles, France","Inst. Fresnel, Aix-Marseille Univ., Marseille"],"affiliations":[{"raw_affiliation_string":"Institut Fresnel, Centrale Marseille,CNRS,Domaine universitaire de St J\u00e9r\u00f4me, Aix Marseille Universit\u00e9, Marseilles, France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210125985","https://openalex.org/I21491767","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inst. Fresnel, Aix-Marseille Univ., Marseille","institution_ids":["https://openalex.org/I21491767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022577086","display_name":"Mireille Guillaume","orcid":"https://orcid.org/0000-0002-6125-1159"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142724","display_name":"Centrale Marseille","ror":"https://ror.org/040baw385","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mireille Guillaume","raw_affiliation_strings":["Institut Fresnel, Centrale Marseille,CNRS,Domaine universitaire de St J\u00e9r\u00f4me, Aix Marseille Universit\u00e9, Marseilles, France","Inst. Fresnel, Aix-Marseille Univ., Marseille"],"affiliations":[{"raw_affiliation_string":"Institut Fresnel, Centrale Marseille,CNRS,Domaine universitaire de St J\u00e9r\u00f4me, Aix Marseille Universit\u00e9, Marseilles, France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I4210125985","https://openalex.org/I21491767","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inst. Fresnel, Aix-Marseille Univ., Marseille","institution_ids":["https://openalex.org/I21491767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003692611"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210125985","https://openalex.org/I4210142724"],"apc_list":null,"apc_paid":null,"fwci":0.6084,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73162135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1868","last_page":"1871"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9898999929428101,"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/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.8313782215118408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517690420150757},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6468946933746338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6209897994995117},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6198965311050415},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6061720252037048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024741530418396},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.576210618019104},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5326340198516846},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5061213374137878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4757080674171448},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.43590033054351807},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.41192659735679626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21417686343193054},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1123916506767273},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08863136172294617}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.8313782215118408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517690420150757},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6468946933746338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6209897994995117},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6198965311050415},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6061720252037048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024741530418396},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.576210618019104},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5326340198516846},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5061213374137878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4757080674171448},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.43590033054351807},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.41192659735679626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21417686343193054},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1123916506767273},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08863136172294617},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2008.4712143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00471636v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00471636","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing October 12-15, ICIP 2008, Oct 2008, San Diego, United States. pp.1868-1871, ⟨10.1109/ICIP.2008.4712143⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2047870694","https://openalex.org/W2049633694","https://openalex.org/W2093528734","https://openalex.org/W2118996198","https://openalex.org/W2140501674","https://openalex.org/W2145554279","https://openalex.org/W2545554564","https://openalex.org/W3129711340","https://openalex.org/W4205365960"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W4387803549"],"abstract_inverted_index":{"paper":[0],"proposes":[1],"an":[2],"anomaly":[3],"detection":[4,88],"algorithm":[5,41],"for":[6],"hy-":[7],"perspectral":[8],"images.":[9],"It":[10,60],"is":[11,42,54,61],"unsupervised":[12],"(the":[13],"researched":[14],"spectra":[15,27],"are":[16],"not":[17],"required":[18],"a":[19,30,51,64,91],"priori),":[20],"discriminates":[21],"the":[22,70,80],"anomalies":[23],"according":[24],"to":[25,43],"their":[26],"and":[28],"has":[29],"constant":[31],"false":[32],"alarm":[33],"rate":[34],"(CFAR).":[35],"The":[36],"main":[37],"specificity":[38],"of":[39,69],"this":[40],"combine":[44],"these":[45],"three":[46],"assets":[47],"rather":[48],"than":[49],"make":[50],"tradeoff":[52],"which":[53],"generally":[55],"necessary":[56],"with":[57,79],"existing":[58],"methods.":[59],"based":[62],"on":[63,90],"physically":[65],"convenient":[66],"probabilistic":[67],"model":[68],"fastICA":[71],"gener":[72],"ated":[73],"independent":[74],"components.":[75],"We":[76],"compare":[77],"it":[78],"adaptive":[81],"cosine/coherence":[82],"estimator":[83],"(a":[84],"reference":[85],"supervised":[86],"target":[87],"algorithm)":[89],"real":[92],"HYDICE":[93],"dataset.":[94]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}