{"id":"https://openalex.org/W3001463648","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965772","title":"A Bi-SRU Neural Network Based on Soft Attention for HRRP Target Recognition","display_name":"A Bi-SRU Neural Network Based on Soft Attention for HRRP Target Recognition","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3001463648","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965772","mag":"3001463648"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100749774","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-5364-1587"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100546494","display_name":"Zunhua Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunhua Guo","raw_affiliation_strings":["School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100749774"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78930266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9789999723434448,"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/computer-science","display_name":"Computer science","score":0.7098503112792969},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5980632305145264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49551117420196533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45203885436058044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098503112792969},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5980632305145264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49551117420196533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45203885436058044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":24,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2005708641","https://openalex.org/W2030285394","https://openalex.org/W2030710202","https://openalex.org/W2049909263","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2108727084","https://openalex.org/W2110485445","https://openalex.org/W2122200043","https://openalex.org/W2133047848","https://openalex.org/W2133564696","https://openalex.org/W2147973859","https://openalex.org/W2149516269","https://openalex.org/W2157331557","https://openalex.org/W2735751793","https://openalex.org/W2741139694","https://openalex.org/W2751185861","https://openalex.org/W2899817933","https://openalex.org/W2900929598","https://openalex.org/W2910615677","https://openalex.org/W2950635152","https://openalex.org/W2953825495","https://openalex.org/W4254816979"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Radar":[0],"automatic":[1],"target":[2,31,89,118],"recognition":[3],"(RATR)":[4],"plays":[5],"a":[6,19,74],"significant":[7],"role":[8],"in":[9,41,115],"military":[10],"applications.":[11],"The":[12,46,91],"high":[13],"resolution":[14],"range":[15],"profiles":[16],"(HRRP)":[17],"contain":[18],"large":[20],"amount":[21],"of":[22,28,44],"information,":[23],"such":[24],"as":[25],"the":[26,29,36,42,96,104],"distribution":[27],"scatterers,":[30],"size":[32],"and":[33,61,108,112],"structure,":[34],"so":[35],"HRRP":[37,48,88,105,116],"has":[38],"great":[39],"prospects":[40],"field":[43],"RATR.":[45],"traditional":[47],"based":[49,80,117],"RATR":[50],"systems":[51],"need":[52],"to":[53,63,86],"extract":[54,100],"features":[55,102],"manually,":[56],"which":[57],"is":[58],"very":[59],"difficult":[60],"complex":[62],"obtain":[64,109],"excellent":[65],"features.":[66],"To":[67],"solve":[68],"this":[69,71],"problem,":[70],"paper":[72],"proposed":[73,97],"bidirectional":[75],"simple":[76],"recurrent":[77],"unit":[78],"network":[79],"on":[81],"soft":[82],"attention":[83],"mechanism":[84],"(SAMBi-SRU)":[85],"achieve":[87],"recognition.":[90,119],"simulation":[92],"results":[93],"demonstrate":[94],"that":[95],"model":[98],"can":[99],"robust":[101],"from":[103],"data":[106],"effectively":[107],"good":[110],"performance":[111],"noise":[113],"immunity":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}