{"id":"https://openalex.org/W4400908785","doi":"https://doi.org/10.1109/siu61531.2024.10600740","title":"Air-to-Ground Automatic Target Recognition and Estimation of Target Orientation Using Range Profiles","display_name":"Air-to-Ground Automatic Target Recognition and Estimation of Target Orientation Using Range Profiles","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908785","doi":"https://doi.org/10.1109/siu61531.2024.10600740"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","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/A5104987223","display_name":"Murat K\u00f6k\u00e7\u00fc","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Murat K\u00f6k\u00e7\u00fc","raw_affiliation_strings":["İstanbul Medipol Üniversitesi,Elektrik ve Elektronik Mühendisliği,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"İstanbul Medipol Üniversitesi,Elektrik ve Elektronik Mühendisliği,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045364506","display_name":"Osman Karabay\u0131r","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Osman Karabay\u0131r","raw_affiliation_strings":["TÜBİTAK,BİLGEM,Kocaeli,Türkiye"],"affiliations":[{"raw_affiliation_string":"TÜBİTAK,BİLGEM,Kocaeli,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026305814","display_name":"Yusuf Alag\u00f6z","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuf Alag\u00f6z","raw_affiliation_strings":["TÜBİTAK,BİLGEM,Kocaeli,Türkiye"],"affiliations":[{"raw_affiliation_string":"TÜBİTAK,BİLGEM,Kocaeli,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061909708","display_name":"Bahad\u0131r K. G\u00fcnt\u00fcrk","orcid":"https://orcid.org/0000-0003-0779-9620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bahad\u0131r K\u00fcr\u015fat G\u00fcnt\u00fcrk","raw_affiliation_strings":["İstanbul Medipol Üniversitesi,Elektrik ve Elektronik Mühendisliği,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"İstanbul Medipol Üniversitesi,Elektrik ve Elektronik Mühendisliği,İstanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104987223"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05578912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9865999817848206,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9865999817848206,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.97079998254776,"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/orientation","display_name":"Orientation (vector space)","score":0.6828573942184448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.580652117729187},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5598374605178833},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5411644577980042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012106895446777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48267439007759094},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32240432500839233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16051477193832397},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15631303191184998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10427036881446838},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.08751696348190308},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.07501357793807983}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6828573942184448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.580652117729187},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5598374605178833},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5411644577980042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012106895446777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48267439007759094},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32240432500839233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16051477193832397},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15631303191184998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10427036881446838},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.08751696348190308},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07501357793807983},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1965572316","https://openalex.org/W2112220318","https://openalex.org/W2154610955","https://openalex.org/W2073717954","https://openalex.org/W2948594896","https://openalex.org/W2147228188","https://openalex.org/W2142969332","https://openalex.org/W2006284743","https://openalex.org/W1577302144","https://openalex.org/W2967546683"],"abstract_inverted_index":{"Automatic":[0],"recognition":[1,24],"of":[2,8,29,36,44,62,115,126],"targets":[3,63,74],"on":[4,104,109],"the":[5,22,27,30,34,37,42,50,56,79,92,105,110,113,116],"surface":[6],"is":[7,129],"great":[9],"importance,":[10],"especially":[11],"for":[12],"active":[13],"electronic":[14],"scanning":[15],"radar":[16,46],"systems.":[17],"The":[18],"information":[19],"estimated":[20],"during":[21],"target":[23,94],"phase":[25],"and":[26,58],"accuracy":[28],"prediction":[31],"directly":[32],"affect":[33],"course":[35],"operation.":[38],"In":[39],"this":[40],"study,":[41],"performance":[43],"a":[45],"system":[47],"operating":[48],"in":[49,54,112],"X":[51],"frequency":[52],"band":[53],"determining":[55],"classes":[57],"horizontal":[59,127],"orientation":[60,128,134],"angles":[61],"by":[64],"using":[65,78],"high":[66],"resolution":[67],"range":[68],"profiles":[69],"collected":[70],"from":[71],"different":[72],"ground-based":[73],"was":[75],"examined.":[76],"Examinations":[77],"template":[80],"matching":[81],"technique":[82],"together":[83],"with":[84],"deep":[85],"learning-based":[86],"sequential":[87],"classifier":[88],"structures":[89,114],"show":[90],"that":[91,122],"main":[93],"class":[95],"can":[96],"be":[97],"recognized":[98],"at":[99],"levels":[100],"above":[101],"%85":[102],"depending":[103],"signal-to-noise":[106],"ratio.":[107],"Depending":[108],"symmetry":[111],"targets,":[117],"it":[118],"has":[119],"been":[120],"observed":[121],"correct":[123],"determination":[124],"rate":[125],"generally":[130],"divided":[131],"into":[132],"symmetrical":[133],"angle":[135],"segments.":[136]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}