{"id":"https://openalex.org/W4388407478","doi":"https://doi.org/10.1109/lgrs.2023.3330466","title":"Type-Aspect Disentanglement Network for HRRP Target Recognition With Missing Aspects","display_name":"Type-Aspect Disentanglement Network for HRRP Target Recognition With Missing Aspects","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388407478","doi":"https://doi.org/10.1109/lgrs.2023.3330466"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3330466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3330466","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100390783","display_name":"Yanhua Wang","orcid":"https://orcid.org/0000-0002-5568-9111"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanhua Wang","raw_affiliation_strings":["School of Information and Electronics and Electromagnetic Sensing Research Center of CEMEE State Key Laboratory, Beijing Institute of Technology, Beijing, China","Advanced Technology Research Institute, Beijing Institute of Technology, Shandong, China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China","Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China","Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics and Electromagnetic Sensing Research Center of CEMEE State Key Laboratory, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Advanced Technology Research Institute, Beijing Institute of Technology, Shandong, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655810","display_name":"Yunchi Ma","orcid":"https://orcid.org/0009-0000-8951-8137"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunchi Ma","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764888","display_name":"Zhilong Zhang","orcid":"https://orcid.org/0000-0002-5405-1220"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilong Zhang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067715727","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-2901-2593"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014506526","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-6688-0093"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100390783"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":9.8211,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.97488972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","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":0.9997000098228455,"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":0.9997000098228455,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11698","display_name":"Underwater Acoustics Research","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.7471495866775513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913274526596069},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6442412734031677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6368011832237244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6010226607322693},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4636669456958771},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.43181395530700684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3363981246948242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21934044361114502}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.7471495866775513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913274526596069},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6442412734031677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6368011832237244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6010226607322693},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4636669456958771},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.43181395530700684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3363981246948242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21934044361114502},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3330466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3330466","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G137050355","display_name":null,"funder_award_id":"ZR2021MF134","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7019939072","display_name":null,"funder_award_id":"2023M730269","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2410591237","https://openalex.org/W2895550165","https://openalex.org/W2910615677","https://openalex.org/W2920313172","https://openalex.org/W2954252026","https://openalex.org/W2993842823","https://openalex.org/W3012162389","https://openalex.org/W3129723678","https://openalex.org/W3165125926","https://openalex.org/W4210702177","https://openalex.org/W4295855898","https://openalex.org/W4306965295","https://openalex.org/W4309805490","https://openalex.org/W6847131820"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W3109905219","https://openalex.org/W2073586885","https://openalex.org/W2546477360","https://openalex.org/W2359691516","https://openalex.org/W1990069287"],"abstract_inverted_index":{"High":[0],"resolution":[1],"range":[2],"profile":[3],"(HRRP)":[4],"is":[5,100,116],"essential":[6],"for":[7],"high-throughput":[8],"radar":[9],"automatic":[10],"target":[11,73,78,127],"recognition.":[12],"Due":[13],"to":[14,44,70,102,118,134],"the":[15,20,25,46,64,81,104,123,143],"aspect":[16,60,88,130],"sensitivity":[17],"of":[18,106,152],"HRRP,":[19],"recognition":[21],"performance":[22],"degrades":[23],"when":[24],"training":[26],"dataset":[27],"misses":[28],"some":[29],"aspects.":[30,79],"Inspired":[31],"by":[32,77,90],"disentangled":[33],"representation":[34,66],"learning":[35],"(DRL),":[36],"this":[37,94],"letter":[38],"proposes":[39],"a":[40,113],"type-aspect":[41],"disentanglement":[42],"network":[43,83],"alleviate":[45],"above":[47],"aspects":[48,153],"missing":[49,154],"problem.":[50],"The":[51],"proposed":[52,82,144],"method":[53,145],"disentangles":[54],"HRRP":[55],"into":[56],"uncorrelated":[57],"type":[58,65,86,128],"and":[59,87,112,129],"representations,":[61],"so":[62],"that":[63,142],"can":[67],"be":[68],"used":[69,101],"accurately":[71],"recognize":[72],"without":[74],"being":[75],"affected":[76],"Specifically,":[80],"acquires":[84],"initial":[85],"representations":[89,108],"residual":[91],"factorization.":[92],"On":[93],"basis,":[95],"mutual":[96],"information":[97,120],"(MI)":[98],"minimization":[99],"constrain":[103,135],"independence":[105],"two":[107],"from":[109],"each":[110],"other,":[111],"reconstruction":[114],"loss":[115],"employed":[117],"avoid":[119],"reduction":[121],"during":[122],"decorrelation":[124],"process.":[125],"Additionally,":[126],"labels":[131],"are":[132],"exploited":[133],"their":[136],"semantic":[137],"meanings.":[138],"Experimental":[139],"results":[140],"demonstrate":[141],"achieves":[146],"improved":[147],"robustness":[148],"in":[149],"varying":[150],"degrees":[151],"cases.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
