{"id":"https://openalex.org/W2142969332","doi":"https://doi.org/10.1109/radar.2008.4721105","title":"Automatic Target Recognition in Synthetic Aperture Radar image using multiresolution analysis and classifiers combination","display_name":"Automatic Target Recognition in Synthetic Aperture Radar image using multiresolution analysis and classifiers combination","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2142969332","doi":"https://doi.org/10.1109/radar.2008.4721105","mag":"2142969332"},"language":"en","primary_location":{"id":"doi:10.1109/radar.2008.4721105","doi":"https://doi.org/10.1109/radar.2008.4721105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/radar.2008.4721105","pdf_url":null,"source":{"id":"https://openalex.org/S4210215198","display_name":"IEEE Radar Conference (RadarConf)","issn_l":"1097-5659","issn":["1097-5659","2375-5318"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Radar Conference","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5060534675","display_name":"Jo\u00e3o P. P. Gomes","orcid":"https://orcid.org/0000-0003-1686-595X","observed_orcids":["https://orcid.org/0000-0003-1686-595X"]},"institutions":[{"id":"https://openalex.org/I1288761627","display_name":"Embraer (Brazil)","ror":"https://ror.org/00zbcgj92","country_code":"BR","type":"company","lineage":["https://openalex.org/I1288761627"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao Paulo Pordeus Gomes","raw_affiliation_strings":["Empresa Brasileira de Aeron\u00e1utica S. A. (EMBRAER), Sao Paulo, Brazil","Empresa Brasileira de Aeronaut. S/A EMBRAER, Sao Jose"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Empresa Brasileira de Aeron\u00e1utica S. A. (EMBRAER), Sao Paulo, Brazil","institution_ids":["https://openalex.org/I1288761627"]},{"raw_affiliation_string":"Empresa Brasileira de Aeronaut. S/A EMBRAER, Sao Jose","institution_ids":["https://openalex.org/I1288761627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059056431","display_name":"Jos\u00e9 Fernando Basso Brancalion","orcid":"https://orcid.org/0000-0002-4387-0204","observed_orcids":["https://orcid.org/0000-0002-4387-0204"]},"institutions":[{"id":"https://openalex.org/I1288761627","display_name":"Embraer (Brazil)","ror":"https://ror.org/00zbcgj92","country_code":"BR","type":"company","lineage":["https://openalex.org/I1288761627"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Fernando Basso Brancalion","raw_affiliation_strings":["Empresa Brasileira de Aeron\u00e1utica S. A. (EMBRAER), Sao Paulo, Brazil","Empresa Brasileira de Aeronaut. S/A EMBRAER, Sao Jose"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Empresa Brasileira de Aeron\u00e1utica S. A. (EMBRAER), Sao Paulo, Brazil","institution_ids":["https://openalex.org/I1288761627"]},{"raw_affiliation_string":"Empresa Brasileira de Aeronaut. S/A EMBRAER, Sao Jose","institution_ids":["https://openalex.org/I1288761627"]}]},{"author_position":"last","author":{"id":null,"display_name":"David Fernandes","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"David Fernandes","raw_affiliation_strings":["Instituto Tecnol\u00f3gico de Aeron\u00e1utica, Sao Paulo, Brazil","Inst. Tecnol. de Aeronaut. ITA, Sao Jose"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I107428990"]},{"raw_affiliation_string":"Inst. Tecnol. de Aeronaut. ITA, Sao Jose","institution_ids":["https://openalex.org/I107428990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6107,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.5222739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":9.999999747378752e-05,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0,"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/automatic-target-recognition","display_name":"automatic target recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/synthetic-aperture-radar-imagery","display_name":"synthetic aperture radar images","score":0.8769999742507935},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"multiresolution analysis","score":0.9940000176429749},{"id":"https://openalex.org/keywords/classifier-combination","display_name":"classifier combination","score":0.8429999947547913},{"id":"https://openalex.org/keywords/minimum-distance-classifier","display_name":"minimum distance classifier","score":0.8370000123977661},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9430000185966492},{"id":"https://openalex.org/keywords/military-applications","display_name":"military applications","score":0.6380000114440918}],"concepts":[{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.9437118172645569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8035411834716797},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7414486408233643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241703271865845},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.7051624059677124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6389305591583252},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5970052480697632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47846245765686035},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47796082496643066},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4613651633262634},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.44824889302253723},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4480281472206116},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.41098666191101074},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3389054536819458},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16400691866874695},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/radar.2008.4721105","doi":"https://doi.org/10.1109/radar.2008.4721105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/radar.2008.4721105","pdf_url":null,"source":{"id":"https://openalex.org/S4210215198","display_name":"IEEE Radar Conference (RadarConf)","issn_l":"1097-5659","issn":["1097-5659","2375-5318"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Radar Conference","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":6,"referenced_works":["https://openalex.org/W2086031864","https://openalex.org/W2124648367","https://openalex.org/W2130615595","https://openalex.org/W2134146185","https://openalex.org/W2799061466","https://openalex.org/W3000404927"],"related_works":["https://openalex.org/W2047411003","https://openalex.org/W2771209933","https://openalex.org/W2150169086","https://openalex.org/W2967546683","https://openalex.org/W2803405656","https://openalex.org/W2521772843","https://openalex.org/W2768172300","https://openalex.org/W2100622743","https://openalex.org/W2130549393","https://openalex.org/W1550862076"],"abstract_inverted_index":{"Automatic":[0],"target":[1,20,37,49,62],"recognition":[2,50],"(ATR)":[3],"is":[4,59,69],"an":[5],"important":[6],"capability":[7],"for":[8],"defense":[9],"application.":[10],"ATR":[11],"removes":[12],"the":[13,17,25,47,65,78,83],"human":[14],"operator":[15],"from":[16],"process":[18],"of":[19,61,74],"acquisition":[21],"and":[22,31,88],"classification,":[23],"reducing":[24],"reaction":[26],"time":[27],"to":[28,35,45],"possible":[29],"threats":[30],"can":[32],"be":[33],"used":[34,44],"gun":[36],"engagement.":[38],"This":[39],"paper":[40],"presents":[41],"one":[42],"technique":[43],"solve":[46],"automatic":[48],"problem":[51],"in":[52,64],"synthetic":[53],"aperture":[54],"radars":[55],"(SAR)":[56],"images,":[57],"that":[58],"independent":[60],"pose":[63],"images.":[66],"The":[67],"classification":[68],"performed":[70],"by":[71],"a":[72,89,96],"combination":[73],"three":[75],"different":[76],"classifiers":[77],"minimum":[79],"distance":[80],"classifier":[81,86],"(MDC),":[82],"quadratic":[84],"Gaussian":[85],"(QGC)":[87],"multilayer":[90],"perceptron":[91],"(MLP)":[92],"neural":[93],"network,":[94],"using":[95],"voting":[97],"architecture.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
