{"id":"https://openalex.org/W4405566161","doi":"https://doi.org/10.3390/rs16244743","title":"Structural Attributes Injection Is Better: Exploring General Approach for Radar Image ATR with a Attribute Alignment Adapter","display_name":"Structural Attributes Injection Is Better: Exploring General Approach for Radar Image ATR with a Attribute Alignment Adapter","publication_year":2024,"publication_date":"2024-12-19","ids":{"openalex":"https://openalex.org/W4405566161","doi":"https://doi.org/10.3390/rs16244743"},"language":"en","primary_location":{"id":"doi:10.3390/rs16244743","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244743","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4743/pdf?version=1734613424","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/24/4743/pdf?version=1734613424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100830380","display_name":"Xiaolin Zhou","orcid":"https://orcid.org/0009-0006-8286-6757"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zhou","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620843","display_name":"Xunzhang Gao","orcid":"https://orcid.org/0000-0001-5875-2721"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunzhang Gao","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076077485","display_name":"Shuowei Liu","orcid":"https://orcid.org/0000-0003-1740-8865"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuowei Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046398284","display_name":"Junjie Han","orcid":"https://orcid.org/0000-0003-3410-2657"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Han","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101763981","display_name":"Xiaolong Su","orcid":"https://orcid.org/0000-0003-3566-5128"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Su","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100462858","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0003-4696-4502"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100462858"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34688736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"24","first_page":"4743","last_page":"4743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9757999777793884,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.7868033647537231},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6803234219551086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6472620964050293},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.6188841462135315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5220901370048523},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5127497911453247},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5065194368362427},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46049195528030396},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4354178309440613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4314964711666107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40729910135269165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06866821646690369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868033647537231},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6803234219551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6472620964050293},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.6188841462135315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5220901370048523},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5127497911453247},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5065194368362427},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46049195528030396},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4354178309440613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4314964711666107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40729910135269165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06866821646690369},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16244743","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244743","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4743/pdf?version=1734613424","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:db2e6acfd8034b8f8b3b9b7055e56af8","is_oa":true,"landing_page_url":"https://doaj.org/article/db2e6acfd8034b8f8b3b9b7055e56af8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 24, p 4743 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16244743","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244743","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4743/pdf?version=1734613424","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/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/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/G342726023","display_name":null,"funder_award_id":"62401585","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4603094014","display_name":null,"funder_award_id":"ZK23-18","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"},{"id":"https://openalex.org/G5851501073","display_name":null,"funder_award_id":"62201588","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","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"},{"id":"https://openalex.org/G858179448","display_name":null,"funder_award_id":"ZK23-18","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/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405566161.pdf","grobid_xml":"https://content.openalex.org/works/W4405566161.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1994606660","https://openalex.org/W2019731632","https://openalex.org/W2031754687","https://openalex.org/W2153094283","https://openalex.org/W2165515835","https://openalex.org/W2194775991","https://openalex.org/W2281856034","https://openalex.org/W2363206776","https://openalex.org/W2805385227","https://openalex.org/W2991109157","https://openalex.org/W3001606623","https://openalex.org/W3093764775","https://openalex.org/W3094502228","https://openalex.org/W3116956422","https://openalex.org/W3131779266","https://openalex.org/W3167976421","https://openalex.org/W3203687922","https://openalex.org/W3205975767","https://openalex.org/W3206873062","https://openalex.org/W4226220893","https://openalex.org/W4226334005","https://openalex.org/W4280490589","https://openalex.org/W4310582166","https://openalex.org/W4319586794","https://openalex.org/W4323316583","https://openalex.org/W4361221423","https://openalex.org/W4385347482","https://openalex.org/W4385421868","https://openalex.org/W4387158208","https://openalex.org/W4387886098","https://openalex.org/W4388240444","https://openalex.org/W4391132239","https://openalex.org/W4392449482","https://openalex.org/W4393291801","https://openalex.org/W4405022676","https://openalex.org/W6684191040","https://openalex.org/W6744729954","https://openalex.org/W6776854842","https://openalex.org/W6783678730","https://openalex.org/W6839576168","https://openalex.org/W6839906123","https://openalex.org/W6853168692","https://openalex.org/W6860024110","https://openalex.org/W6861517219","https://openalex.org/W6872789786","https://openalex.org/W6884748114","https://openalex.org/W6922005993","https://openalex.org/W6922114160","https://openalex.org/W7018337791"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2151050075"],"abstract_inverted_index":{"Nowadays,":[0],"deep":[1],"learning":[2],"techniques":[3],"are":[4],"extensively":[5],"applied":[6],"in":[7,138,239,265],"the":[8,27,48,54,68,102,113,119,125,173,184,195,217,221,228,236,246,272,279],"field":[9],"of":[10,26,33,38,50,57,112,190,197,209,220,241,256,271,278],"automatic":[11],"target":[12,114,139,169],"recognition":[13,170,218],"(ATR)":[14],"for":[15,93],"radar":[16,94,191],"images.":[17],"However,":[18],"existing":[19,229],"data-driven":[20],"approaches":[21,233,238],"frequently":[22],"ignore":[23],"prior":[24,155],"knowledge":[25,49],"target,":[28],"leading":[29],"to":[30,105,123,128,227],"a":[31,74,154,178],"lack":[32],"interpretability":[34],"and":[35,64,109,115,131,199,234,260,275],"poor":[36],"performance":[37],"trained":[39],"models.":[40],"To":[41],"address":[42],"this":[43],"issue,":[44],"we":[45,72],"first":[46],"integrate":[47],"structural":[51,65,103,107,126],"attributes":[52,104,127],"into":[53,85,166],"training":[55,180],"process":[56],"an":[58],"ATR":[59,232],"model,":[60],"providing":[61],"both":[62],"category":[63,110],"information":[66,108],"at":[67],"dataset":[69,175],"level.":[70],"Specifically,":[71,244],"propose":[73],"Structural":[75],"Attribute":[76],"Injection":[77],"(SAI)":[78],"module":[79,122,149,213],"that":[80,145,161,206],"can":[81,100,116,150,163,214,251],"be":[82,143,151,164],"flexibly":[83],"inserted":[84,165],"any":[86],"framework":[87],"constructed":[88],"based":[89],"on":[90,172,281],"neural":[91],"networks":[92,264],"image":[95,192],"recognition.":[96,140],"Our":[97],"proposed":[98,120,147,185,211],"method":[99,186],"encode":[101],"provide":[106],"correlation":[111],"further":[117],"apply":[118],"SAI":[121,148,212,247],"map":[124],"something":[129],"high-dimensional":[130],"align":[132],"them":[133],"with":[134,176,245],"samples,":[135],"effectively":[136],"assisting":[137],"It":[141],"should":[142],"noted":[144],"our":[146,207,210,249],"regarded":[152],"as":[153],"feature":[156],"enhancement":[157],"method,":[158],"which":[159,224],"means":[160],"it":[162],"all":[167],"downstream":[168],"methods":[171],"same":[174],"only":[177],"single":[179],"session.":[181],"We":[182],"evaluated":[183],"using":[187],"two":[188],"types":[189],"datasets":[193],"under":[194],"conditions":[196],"few":[198],"sufficient":[200],"samples.":[201],"The":[202],"experimental":[203],"results":[204],"demonstrate":[205],"application":[208],"significantly":[215],"improve":[216],"accuracy":[219,254],"baseline":[222],"models,":[223],"is":[225],"equivalent":[226],"state-of-the-art":[230],"(SOTA)":[231],"outperforms":[235],"SOTA":[237],"terms":[240],"resource":[242],"consumption.":[243],"module,":[248],"approach":[250],"achieve":[252],"substantial":[253],"improvements":[255],"3.48%,":[257],"18.22%,":[258],"1.52%,":[259],"15.03%":[261],"over":[262],"traditional":[263],"four":[266],"scenarios":[267],"while":[268],"requiring":[269],"1/5":[270],"parameter":[273],"count":[274],"just":[276],"1/14":[277],"FLOPs":[280],"average.":[282]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}