{"id":"https://openalex.org/W2808684827","doi":"https://doi.org/10.1109/tgrs.2018.2838593","title":"Multiview Synthetic Aperture Radar Automatic Target Recognition Optimization: Modeling and Implementation","display_name":"Multiview Synthetic Aperture Radar Automatic Target Recognition Optimization: Modeling and Implementation","publication_year":2018,"publication_date":"2018-06-12","ids":{"openalex":"https://openalex.org/W2808684827","doi":"https://doi.org/10.1109/tgrs.2018.2838593","mag":"2808684827"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2838593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2838593","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5013688635","display_name":"Jifang Pei","orcid":"https://orcid.org/0000-0002-4616-6642"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifang Pei","raw_affiliation_strings":["Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4616-6642","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027924825","display_name":"Yulin Huang","orcid":"https://orcid.org/0000-0003-3930-9323"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Huang","raw_affiliation_strings":["Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034477287","display_name":"Zhichao Sun","orcid":"https://orcid.org/0000-0001-9346-4418"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Sun","raw_affiliation_strings":["Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-9346-4418","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343725","display_name":"Yin Zhang","orcid":"https://orcid.org/0000-0002-6761-2269"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6761-2269","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660972","display_name":"Jianyu Yang","orcid":"https://orcid.org/0000-0002-4726-8384"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Yang","raw_affiliation_strings":["Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027037826","display_name":"Tat\u2010Soon Yeo","orcid":"https://orcid.org/0000-0002-0314-1621"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Soon Yeo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0314-1621","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.7031,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.99085929,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"56","issue":"11","first_page":"6425","last_page":"6439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8629671335220337},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8125098943710327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7906419038772583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7237697839736938},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6222647428512573},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.497283011674881},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4680103063583374},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.463803768157959},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.41300058364868164},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41087400913238525},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.40688568353652954},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3424742519855499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18071326613426208},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0764455795288086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07415404915809631}],"concepts":[{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.8629671335220337},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8125098943710327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906419038772583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7237697839736938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6222647428512573},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.497283011674881},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4680103063583374},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.463803768157959},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.41300058364868164},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41087400913238525},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.40688568353652954},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3424742519855499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18071326613426208},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0764455795288086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07415404915809631},{"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/tgrs.2018.2838593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2838593","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1860448674","display_name":"\u673a\u8f7d\u96f7\u8fbe\u524d\u89c6\u6210\u50cf\u4e0e\u96fe\u973e\u5929\u5019\u4e0b\u7740\u9646\u6307\u793a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W322998299","https://openalex.org/W617340121","https://openalex.org/W1506864460","https://openalex.org/W1612556207","https://openalex.org/W1968535060","https://openalex.org/W1978421454","https://openalex.org/W1997188340","https://openalex.org/W1999325076","https://openalex.org/W2021739315","https://openalex.org/W2033801480","https://openalex.org/W2037437396","https://openalex.org/W2038161692","https://openalex.org/W2038591350","https://openalex.org/W2059761475","https://openalex.org/W2065337811","https://openalex.org/W2079299474","https://openalex.org/W2095705004","https://openalex.org/W2100128988","https://openalex.org/W2103290993","https://openalex.org/W2111847198","https://openalex.org/W2117581466","https://openalex.org/W2124648367","https://openalex.org/W2126105956","https://openalex.org/W2133693888","https://openalex.org/W2144354855","https://openalex.org/W2148791593","https://openalex.org/W2152761983","https://openalex.org/W2154610955","https://openalex.org/W2157747529","https://openalex.org/W2163605009","https://openalex.org/W2165616753","https://openalex.org/W2261054240","https://openalex.org/W2410591237","https://openalex.org/W2521772843","https://openalex.org/W2540093921","https://openalex.org/W2588453093","https://openalex.org/W2863402227","https://openalex.org/W2919115771","https://openalex.org/W3097983326","https://openalex.org/W3147447086","https://openalex.org/W6636658889","https://openalex.org/W6674330103","https://openalex.org/W6679901780","https://openalex.org/W6682713193","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2886347302","https://openalex.org/W2784759481","https://openalex.org/W1545594509","https://openalex.org/W3130755980","https://openalex.org/W3038591045","https://openalex.org/W1988723959","https://openalex.org/W2053024573","https://openalex.org/W2540450177","https://openalex.org/W2887270943"],"abstract_inverted_index":{"Multiview":[0],"synthetic":[1],"aperture":[2],"radar":[3],"(SAR)":[4],"images":[5,37,161],"could":[6],"provide":[7],"much":[8],"richer":[9],"information":[10],"for":[11,60],"automatic":[12],"target":[13],"recognition":[14,80,107,172],"(ATR)":[15],"than":[16],"from":[17,38,162],"a":[18,33,56,95],"single-view":[19],"image.":[20],"It":[21],"is":[22,64,75,90,129],"desirable":[23],"to":[24,78,131,156,167],"find":[25],"optimal":[26,137],"SAR":[27,36,44,62,73,88,147,160,181,198],"platform":[28],"flight":[29,83,138,154],"paths":[30,139],"and":[31,51,66,82,92,109,111,122,136,140,189],"acquire":[32,157],"sequence":[34],"of":[35,70,191,196],"appropriate":[39],"views,":[40],"so":[41],"that":[42],"multiview":[43,61,72,87,159,180,197],"ATR":[45,63,74,89],"can":[46,149,174],"be":[47,175],"carried":[48],"out":[49],"accurately":[50],"efficiently.":[52],"In":[53],"this":[54],"paper,":[55],"novel":[57],"optimization":[58,98,194],"framework":[59,195],"proposed":[65,193],"implemented.":[67],"The":[68,146],"geometry":[69],"the":[71,79,86,104,133,158,187,192],"modeled":[76],"according":[77,166],"mission":[81],"environment.":[84],"Then,":[85],"abstracted":[91],"transformed":[93],"into":[94],"constrained":[96,123],"multiobjective":[97,134],"problem":[99],"with":[100],"objective":[101],"functions":[102],"considering":[103],"tradeoffs":[105],"between":[106],"performance":[108],"efficiency":[110],"security.":[112],"A":[113],"specific":[114],"approach":[115],"based":[116,177],"on":[117,178],"convolutional":[118],"neural":[119],"network":[120],"ensemble":[121],"nondominated":[124],"sorting":[125],"genetic":[126],"algorithm":[127],"II":[128],"employed":[130],"solve":[132],"optimization,":[135],"corresponding":[141],"imaging":[142],"viewpoints":[143],"are":[144],"obtained.":[145],"sensor":[148],"thus":[150],"choose":[151],"an":[152],"applicable":[153],"path":[155],"different":[163],"tradeoff":[164],"solutions":[165],"application":[168],"requirements.":[169],"Finally,":[170],"accurate":[171],"results":[173],"obtained":[176],"those":[179],"images.":[182],"Extensive":[183],"experiments":[184],"have":[185],"shown":[186],"validity":[188],"superiority":[190],"ATR.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
