{"id":"https://openalex.org/W1980301440","doi":"https://doi.org/10.1109/igarss.2012.6352367","title":"Effects of the signal dependent noise on the CFARness of the RX algorithm in hyperspectral images","display_name":"Effects of the signal dependent noise on the CFARness of the RX algorithm in hyperspectral images","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1980301440","doi":"https://doi.org/10.1109/igarss.2012.6352367","mag":"1980301440"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6352367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352367","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061282109","display_name":"Nicola Acito","orcid":"https://orcid.org/0000-0003-1984-7992"},"institutions":[{"id":"https://openalex.org/I205887594","display_name":"Rina Services (Italy)","ror":"https://ror.org/0562tzd79","country_code":"IT","type":"company","lineage":["https://openalex.org/I205887594"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"N. Acito","raw_affiliation_strings":["Dipartimento Armi Navali, Accademia Navale, Livorno, Italy","Accademia Navale - Dip. Armi Navali - Viale Italia 72 - 57127 Livorno (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento Armi Navali, Accademia Navale, Livorno, Italy","institution_ids":[]},{"raw_affiliation_string":"Accademia Navale - Dip. Armi Navali - Viale Italia 72 - 57127 Livorno (Italy)","institution_ids":["https://openalex.org/I205887594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064336799","display_name":"Marco Diani","orcid":"https://orcid.org/0000-0003-1520-1991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Diani","raw_affiliation_strings":["Dipartimento di Ingegneria dellInformazione, Pisa, Italy","Dipartimento di Ingegneria dell'Informazione - Via Caruso 16 - 56122 Pisa (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dellInformazione, Pisa, Italy","institution_ids":[]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione - Via Caruso 16 - 56122 Pisa (Italy)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073606309","display_name":"Stefania Matteoli","orcid":"https://orcid.org/0000-0001-6940-9881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Matteoli","raw_affiliation_strings":["Dipartimento di Ingegneria dellInformazione, Pisa, Italy","Dipartimento di Ingegneria dell'Informazione - Via Caruso 16 - 56122 Pisa (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dellInformazione, Pisa, Italy","institution_ids":[]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione - Via Caruso 16 - 56122 Pisa (Italy)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089641976","display_name":"Giovanni Corsini","orcid":"https://orcid.org/0000-0002-9366-2470"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Corsini","raw_affiliation_strings":["Dipartimento di Ingegneria dellInformazione, Pisa, Italy","Dipartimento di Ingegneria dell'Informazione - Via Caruso 16 - 56122 Pisa (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dellInformazione, Pisa, Italy","institution_ids":[]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione - Via Caruso 16 - 56122 Pisa (Italy)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5474","last_page":"5477"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8457124829292297},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7309558391571045},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6769065260887146},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6206083297729492},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.584411084651947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625450015068054},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4209975302219391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3971506357192993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33760541677474976},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10875961184501648}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8457124829292297},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7309558391571045},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6769065260887146},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6206083297729492},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.584411084651947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625450015068054},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4209975302219391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3971506357192993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33760541677474976},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10875961184501648},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2012.6352367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352367","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:arpi.unipi.it:11568/153864","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/153864","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2047870694","https://openalex.org/W2070424424","https://openalex.org/W2079838548","https://openalex.org/W2124267685","https://openalex.org/W2142192675"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W1554902475","https://openalex.org/W3214387023","https://openalex.org/W2359093779"],"abstract_inverted_index":{"In":[0,43,71],"this":[1,72],"paper":[2],"we":[3,108],"investigate":[4],"the":[5,8,13,17,25,30,36,40,63,91,98,101,105],"effects":[6],"of":[7,16,24,32,35,97,100,104],"signal":[9,66,92],"dependent":[10,93],"noise":[11,38,58,94],"on":[12,62,75],"CFAR":[14,22],"property":[15],"RX":[18,106],"anomaly":[19],"detector.":[20],"The":[21],"behaviour":[23,103],"algorithm":[26],"was":[27],"proved":[28],"under":[29],"assumption":[31,52],"spatial":[33],"stationarity":[34],"random":[37],"affecting":[39],"hyperspectral":[41,82],"image.":[42],"data":[44,77],"collected":[45,78],"by":[46,79],"new":[47,81],"generation":[48],"sensors":[49],"such":[50],"an":[51],"is":[53,68,95],"not":[54,69],"valid":[55],"because":[56],"photon":[57],"contribution,":[59],"which":[60],"depends":[61],"spatially":[64],"varying":[65],"levels,":[67],"negligible.":[70],"paper,":[73],"experiments":[74],"real":[76],"a":[80],"camera":[83],"are":[84],"discussed":[85],"in":[86,111],"order":[87],"to":[88],"show":[89],"that":[90],"one":[96],"causes":[99],"non-CFAR":[102],"detector":[107],"have":[109],"experienced":[110],"many":[112],"practical":[113],"situations.":[114]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
