{"id":"https://openalex.org/W1978239509","doi":"https://doi.org/10.1109/igarss.2012.6350938","title":"A class of robust estimates for detection in hyperspectral images using elliptical distributions background","display_name":"A class of robust estimates for detection in hyperspectral images using elliptical distributions background","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1978239509","doi":"https://doi.org/10.1109/igarss.2012.6350938","mag":"1978239509"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6350938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6350938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://centralesupelec.hal.science/hal-00781727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001036980","display_name":"Joana Frontera\u2013Pons","orcid":"https://orcid.org/0000-0003-0438-5801"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Frontera-Pons","raw_affiliation_strings":["SONDRA Research Alliance, Sup\u00e9lec, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA Research Alliance, Sup\u00e9lec, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035685465","display_name":"M\u00e9lanie Mahot","orcid":null},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Mahot","raw_affiliation_strings":["SONDRA Research Alliance, Sup\u00e9lec, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA Research Alliance, Sup\u00e9lec, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022689387","display_name":"Jean\u2010Philippe Ovarlez","orcid":"https://orcid.org/0000-0001-8056-4196"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.P. Ovarlez","raw_affiliation_strings":["SONDRA Research Alliance, Sup\u00e9lec, France","ONERA - The French Aerospace Lab [Palaiseau] (F-91761 Palaiseau - France)","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA Research Alliance, Sup\u00e9lec, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"ONERA - The French Aerospace Lab [Palaiseau] (F-91761 Palaiseau - France)","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089919393","display_name":"Fr\u00e9d\u00e9ric Pascal","orcid":"https://orcid.org/0000-0003-0196-6395"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Pascal","raw_affiliation_strings":["SONDRA Research Alliance, Sup\u00e9lec, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA Research Alliance, Sup\u00e9lec, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059264688","display_name":"S.K. Pang","orcid":"https://orcid.org/0009-0007-6983-9719"},"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":"S.K. Pang","raw_affiliation_strings":["DSO National Laboratories, Singapore","DSO National Laboratories (Singapore)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSO National Laboratories, Singapore","institution_ids":["https://openalex.org/I28490864"]},{"raw_affiliation_string":"DSO National Laboratories (Singapore)","institution_ids":["https://openalex.org/I28490864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109059550","display_name":"J. Chanussot","orcid":null},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Chanussot","raw_affiliation_strings":["GIPSA-LAB, Grenoble Institute of Technology (INPG), France","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIPSA-LAB, Grenoble Institute of Technology (INPG), France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4166","last_page":"4169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9948999881744385,"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":0.9922999739646912,"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/estimator","display_name":"Estimator","score":0.7481638193130493},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6772391200065613},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6545290946960449},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6426591873168945},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5709222555160522},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.5448113083839417},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5322005152702332},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.511031985282898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4912845492362976},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.47126340866088867},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.46607041358947754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46573272347450256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4536726474761963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4337092638015747},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3477957844734192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3282738924026489},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11682331562042236}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7481638193130493},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6772391200065613},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6545290946960449},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6426591873168945},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5709222555160522},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.5448113083839417},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5322005152702332},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.511031985282898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4912845492362976},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.47126340866088867},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.46607041358947754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46573272347450256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4536726474761963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4337092638015747},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3477957844734192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3282738924026489},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11682331562042236},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/igarss.2012.6350938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6350938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.8677","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.8677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jeanphilippeovarlez.com/Homepage_de_Ovarlez_Jean-Philippe/Publications_files/A%20Class%20of%20Robust%20Estimates%20for%20Detection%20in%20Hyperspectral%20Images%20Using%20Elliptical%20Distributions%20Background.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.2378","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.2378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gipsa-lab.grenoble-inp.fr/%7Ejocelyn.chanussot/publis/ieee_igarss_116_frontera_detection.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00781727v1","is_oa":true,"landing_page_url":"https://centralesupelec.hal.science/hal-00781727","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.4166 - 4169, &#x27E8;10.1109/IGARSS.2012.6350938&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00781727v1","is_oa":true,"landing_page_url":"https://centralesupelec.hal.science/hal-00781727","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.4166 - 4169, &#x27E8;10.1109/IGARSS.2012.6350938&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1973176871","https://openalex.org/W1979573625","https://openalex.org/W1984614739","https://openalex.org/W1986921156","https://openalex.org/W2008418230","https://openalex.org/W2046033161","https://openalex.org/W2056846160","https://openalex.org/W2067782748","https://openalex.org/W2103286460","https://openalex.org/W2106265255","https://openalex.org/W2108275959","https://openalex.org/W2109363365","https://openalex.org/W2124267685","https://openalex.org/W2148887065","https://openalex.org/W2161503240","https://openalex.org/W2537590324","https://openalex.org/W2977886060","https://openalex.org/W6682149340"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972","https://openalex.org/W4206180432"],"abstract_inverted_index":{"When":[0],"dealing":[1],"with":[2,95],"impulsive":[3],"background":[4],"echoes,":[5],"Gaussian":[6,62,92],"model":[7],"is":[8,104],"no":[9],"longer":[10],"pertinent.":[11],"We":[12,82],"study":[13],"in":[14,66],"this":[15],"paper":[16],"the":[17,40,60,75,80,86,108],"class":[18],"of":[19,30,53,88,111],"elliptically":[20],"contoured":[21],"(EC)":[22],"distributions.":[23],"They":[24,44],"provide":[25],"a":[26,49],"multivariate":[27,41,61],"location-scatter":[28],"family":[29],"distributions":[31],"that":[32],"primarily":[33],"serve":[34],"as":[35],"long":[36],"tailed":[37],"alternatives":[38],"to":[39,47,106],"normal":[42],"model.":[43],"are":[45,79],"proven":[46],"represent":[48],"more":[50],"accurate":[51],"characterization":[52],"HSI":[54],"data":[55,65],"than":[56],"models":[57],"based":[58],"on":[59],"assumption.":[63],"For":[64],"\u211d":[67],"<sup":[68],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[69],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k</sup>":[70],",":[71],"robust":[72],"proposals":[73],"for":[74],"sample":[76],"covariance":[77],"estimate":[78],"M-estimators.":[81],"have":[83],"also":[84],"analyzed":[85],"performance":[87],"an":[89],"adaptive":[90],"non-":[91],"detector":[93,109],"built":[94],"these":[96],"improved":[97],"estimators.":[98],"Constant":[99],"False":[100],"Alarm":[101],"Rate":[102],"(CFAR)":[103],"pursued":[105],"allow":[107],"independence":[110],"nuisance":[112],"parameters":[113],"and":[114],"false":[115],"alarm":[116],"regulation.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
