{"id":"https://openalex.org/W2116866043","doi":"https://doi.org/10.1117/12.395589","title":"ATR performance of a Rician model for SAR images","display_name":"ATR performance of a Rician model for SAR images","publication_year":2000,"publication_date":"2000-08-17","ids":{"openalex":"https://openalex.org/W2116866043","doi":"https://doi.org/10.1117/12.395589","mag":"2116866043"},"language":"en","primary_location":{"id":"doi:10.1117/12.395589","doi":"https://doi.org/10.1117/12.395589","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.395589","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"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/A5020564864","display_name":"Michael D. DeVore","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael D. DeVore","raw_affiliation_strings":["Washington Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington Univ. (United States)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091352295","display_name":"Aaron D. Lanterman","orcid":"https://orcid.org/0000-0002-4618-7988","observed_orcids":["https://orcid.org/0000-0002-4618-7988"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron D. Lanterman","raw_affiliation_strings":["Univ. of Illinois/Urbana-Champaign (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Illinois/Urbana-Champaign (United States)","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044333105","display_name":"Joseph A. O\u2019Sullivan","orcid":"https://orcid.org/0000-0003-1510-4876","observed_orcids":["https://orcid.org/0000-0003-1510-4876"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph A. O'Sullivan","raw_affiliation_strings":["Washington Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington Univ. (United States)","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.245,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98692478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4050","issue":null,"first_page":"34","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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/T10891","display_name":"Radar Systems and Signal Processing","score":9.999999747378752e-05,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"automatic target recognition","score":0.7860000133514404},{"id":"https://openalex.org/keywords/rician-distribution","display_name":"Rician distribution","score":0.7889999747276306},{"id":"https://openalex.org/keywords/synthetic-aperture-radar-imagery","display_name":"synthetic aperture radar images","score":0.7440000176429749},{"id":"https://openalex.org/keywords/log-likelihood-estimation","display_name":"log-likelihood estimation","score":0.628000020980835},{"id":"https://openalex.org/keywords/mstar-dataset","display_name":"MSTAR dataset","score":0.8889999985694885},{"id":"https://openalex.org/keywords/training-set-size","display_name":"training data size","score":0.609000027179718},{"id":"https://openalex.org/keywords/attitude-estimation","display_name":"attitude estimation","score":0.6039999723434448},{"id":"https://openalex.org/keywords/error-probability","display_name":"error probability","score":0.6100000143051147}],"concepts":[{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.9319139122962952},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7277835607528687},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6619217991828918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007424592971802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49712398648262024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48911744356155396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44959935545921326},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.4458768367767334},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.4153621792793274},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.412826269865036},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4113360047340393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3375495672225952},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07628116011619568},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.395589","doi":"https://doi.org/10.1117/12.395589","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.395589","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1500551892","https://openalex.org/W1564840551","https://openalex.org/W2073222764","https://openalex.org/W2111703458","https://openalex.org/W2111847198","https://openalex.org/W2119044606","https://openalex.org/W2126075694","https://openalex.org/W2142740798","https://openalex.org/W2151952539","https://openalex.org/W2166054752","https://openalex.org/W2169137743"],"related_works":["https://openalex.org/W2111703458","https://openalex.org/W2033495885","https://openalex.org/W2948215215","https://openalex.org/W2114149087","https://openalex.org/W2024160378","https://openalex.org/W3092188968","https://openalex.org/W2059742035","https://openalex.org/W2156472184","https://openalex.org/W1564840551","https://openalex.org/W4205271632"],"abstract_inverted_index":{"Radar":[0,21],"targets":[1],"often":[2],"have":[3],"both":[4,27,96],"specular":[5],"and":[6,98,104,126,147],"diffuse":[7],"scatterers.":[8,30],"A":[9],"conditionally":[10,35,111,145,148,184],"Rician":[11,32,58,146,168],"model":[12,59,169],"for":[13,26,87,123,131,194],"the":[14,46,50,53,57,65,84,107,119,127,134,138,164,167,177,183],"amplitudes":[15],"of":[16,29,52,64,90,109,129,158,180],"pixels":[17],"in":[18,45,56],"Synthetic":[19],"Aperture":[20],"(SAR)":[22],"images":[23],"quantitatively":[24,117],"accounts":[25],"types":[28],"Conditionally":[31],"models":[33,37,150],"generalize":[34],"Gaussian":[36,112,149,185],"by":[38],"including":[39],"means":[40],"with":[41,171],"uniformly":[42],"distributed":[43],"phases":[44],"complex":[47],"imagery.":[48],"Qualitatively,":[49],"values":[51],"two":[54],"parameters":[55,76],"bring":[60],"out":[61],"different":[62],"aspects":[63],"images.":[66],"For":[67,133],"automatic":[68],"target":[69],"recognition":[70],"(ATR),":[71],"log-likelihoods":[72],"are":[73],"computed":[74],"using":[75,118],"estimated":[77],"from":[78],"training":[79,159,173],"data.":[80],"Using":[81],"MSTAR":[82,135],"data,":[83],"resulting":[85],"performance":[86,108,165,193],"a":[88,155,191],"number":[89,179],"four":[91],"class":[92],"ATR":[93],"problems":[94],"representing":[95],"standard":[97],"extended":[99],"operating":[100],"conditions":[101],"is":[102,115,161,187],"studied":[103],"compared":[105],"to":[106,176,189],"corresponding":[110],"models.":[113],"Performance":[114],"measured":[116],"Hilbert-Schmidt":[120],"squared":[121],"error":[122,130],"orientation":[124],"estimation":[125],"probability":[128],"recognition.":[132],"dataset":[136],"used,":[137],"results":[139,153],"indicate":[140],"that":[141],"algorithms":[142],"based":[143],"on":[144],"yield":[151,190],"similar":[152],"when":[154],"rich":[156],"set":[157],"data":[160],"available,":[162],"but":[163],"under":[166],"suffers":[170],"smaller":[172,178],"sets.":[174],"Due":[175],"distribution":[181],"parameters,":[182],"approach":[186],"able":[188],"better":[192],"any":[195],"fixed":[196],"complexity.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}