{"id":"https://openalex.org/W2127970731","doi":"https://doi.org/10.1186/1687-1499-2013-39","title":"A hierarchical propelled fusion strategy for SAR automatic target recognition","display_name":"A hierarchical propelled fusion strategy for SAR automatic target recognition","publication_year":2013,"publication_date":"2013-02-19","ids":{"openalex":"https://openalex.org/W2127970731","doi":"https://doi.org/10.1186/1687-1499-2013-39","mag":"2127970731"},"language":"en","primary_location":{"id":"doi:10.1186/1687-1499-2013-39","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-39","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-39","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-39","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061245960","display_name":"Zongyong Cui","orcid":"https://orcid.org/0000-0003-1155-786X"},"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":true,"raw_author_name":"Zongyong Cui","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019411747","display_name":"Zongjie Cao","orcid":"https://orcid.org/0000-0002-0117-9087"},"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":"Zongjie Cao","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of 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":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088876545","display_name":"Jilan Feng","orcid":null},"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":"Jilan Feng","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061245960"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":62.952,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.99620996,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9950000047683716,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.8693633079528809},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.791663408279419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6678510308265686},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.6411099433898926},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5801908373832703},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5736389756202698},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5436896085739136},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5250232815742493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5199790596961975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3370091915130615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8693633079528809},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.791663408279419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6678510308265686},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.6411099433898926},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5801908373832703},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5736389756202698},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5436896085739136},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5250232815742493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5199790596961975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3370091915130615},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-1499-2013-39","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-39","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-39","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-1499-2013-39","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-39","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-39","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G181426922","display_name":null,"funder_award_id":"61271287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3148930453","display_name":null,"funder_award_id":"60802065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2127970731.pdf","grobid_xml":"https://content.openalex.org/works/W2127970731.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W118170734","https://openalex.org/W1902027874","https://openalex.org/W2014056170","https://openalex.org/W2059021178","https://openalex.org/W2065337811","https://openalex.org/W2075589663","https://openalex.org/W2112803241","https://openalex.org/W2117581466","https://openalex.org/W2121647436","https://openalex.org/W2133508000","https://openalex.org/W2134262590","https://openalex.org/W2136520064","https://openalex.org/W2147228188","https://openalex.org/W2148603752","https://openalex.org/W2150169086","https://openalex.org/W2155806188","https://openalex.org/W2158275940","https://openalex.org/W2160445017","https://openalex.org/W2160648405","https://openalex.org/W2281875135","https://openalex.org/W2483237440","https://openalex.org/W2536954809","https://openalex.org/W2544789064"],"related_works":["https://openalex.org/W2543161807","https://openalex.org/W1964120219","https://openalex.org/W2973417394","https://openalex.org/W2967546683","https://openalex.org/W2085350532","https://openalex.org/W3022798719","https://openalex.org/W271719700","https://openalex.org/W2062264607","https://openalex.org/W2150169086","https://openalex.org/W2513787030"],"abstract_inverted_index":{"Abstract":[0],"Synthetic":[1],"aperture":[2],"radar":[3],"(SAR)":[4],"automatic":[5],"target":[6],"recognition":[7,47,126,147,174,190],"(ATR)":[8],"is":[9,34,101,170],"playing":[10],"a":[11,55,140],"very":[12],"important":[13],"role":[14],"in":[15,58,103,139,157],"military":[16],"and":[17,87,115,124,134,189],"civil":[18],"field.":[19],"Much":[20],"work":[21],"has":[22,53,76,109,182],"been":[23],"done":[24],"to":[25],"improve":[26],"the":[27,66,110,125,136,145,155,167,178],"performance":[28,184],"of":[29,113],"SAR":[30,59],"ATR":[31],"systems.":[32],"It":[33],"well-known":[35],"that":[36,166],"ensemble":[37],"methods":[38,68],"can":[39,119,128,148],"be":[40,120,129,149],"used":[41,121],"for":[42,97,154,172],"improving":[43],"prediction":[44],"performance.":[45],"Thus":[46],"using":[48],"multiple":[49],"classifiers":[50],"fusion":[51,67,99],"(MCF)":[52],"become":[54],"research":[56],"hotspot":[57],"ATR.":[60],"Most":[61],"current":[62],"researchers":[63],"focus":[64],"on":[65,90,161,186],"by":[69,131,151],"parallel":[70,74,116,179],"structure.":[71,117],"However,":[72],"such":[73,79],"structure":[75],"some":[77],"disadvantages,":[78],"as":[80],"large":[81],"time":[82,187],"consumption,":[83],"features":[84,133],"attribution":[85],"conflict":[86],"low":[88],"capability":[89],"confuser":[91,146],"recognition.":[92],"A":[93],"hierarchical":[94,141],"propelled":[95,142],"strategy":[96],"multi-classifier":[98],"(HPSMCF)":[100],"proposed":[102,107,168],"this":[104],"paper.":[105],"The":[106],"HPSMCF":[108,169,181],"characters":[111],"both":[112,185],"series":[114],"Features":[118],"more":[122],"effective":[123],"efficiency":[127],"improved":[130],"extracting":[132],"fusing":[135],"probabilistic":[137],"outputs":[138],"way.":[143],"Meanwhile,":[144],"achieved":[150],"setting":[152],"thresholds":[153],"confidence":[156],"each":[158],"level.":[159],"Experiments":[160],"MSTAR":[162],"public":[163],"data":[164],"demonstrate":[165],"robust":[171],"variant":[173],"conditions.":[175],"Compared":[176],"with":[177],"structure,":[180],"better":[183],"consumption":[188],"rate.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
