{"id":"https://openalex.org/W4376608006","doi":"https://doi.org/10.1109/tgrs.2023.3275991","title":"Recognition of Micro-Motion Space Targets Based on Attention-Augmented Cross-Modal Feature Fusion Recognition Network","display_name":"Recognition of Micro-Motion Space Targets Based on Attention-Augmented Cross-Modal Feature Fusion Recognition Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4376608006","doi":"https://doi.org/10.1109/tgrs.2023.3275991"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3275991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3275991","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/A5014708520","display_name":"Xudong Tian","orcid":"https://orcid.org/0000-0001-6723-6032"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Tian","raw_affiliation_strings":["Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076901636","display_name":"Xueru Bai","orcid":"https://orcid.org/0000-0001-9283-1810"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueru Bai","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080509511","display_name":"Feng Zhou","orcid":"https://orcid.org/0000-0002-1514-7393"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhou","raw_affiliation_strings":["Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014708520"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":16.3054,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.99183792,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"9"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7085577249526978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7019575238227844},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5687435269355774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5584716200828552},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.5438426733016968},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.47428494691848755},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4592374265193939},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44590532779693604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42662134766578674},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.418989896774292},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.3420770764350891},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3344147205352783},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1029844880104065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7085577249526978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7019575238227844},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5687435269355774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5584716200828552},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.5438426733016968},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.47428494691848755},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4592374265193939},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44590532779693604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42662134766578674},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.418989896774292},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3420770764350891},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3344147205352783},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1029844880104065},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3275991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3275991","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":[],"awards":[{"id":"https://openalex.org/G2630173159","display_name":null,"funder_award_id":"61971332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3937783750","display_name":null,"funder_award_id":"62131020","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1548313798","https://openalex.org/W1723619723","https://openalex.org/W1836465849","https://openalex.org/W1975351241","https://openalex.org/W2045731367","https://openalex.org/W2047002226","https://openalex.org/W2095705004","https://openalex.org/W2104245099","https://openalex.org/W2110646474","https://openalex.org/W2131084851","https://openalex.org/W2147800946","https://openalex.org/W2148538798","https://openalex.org/W2156387975","https://openalex.org/W2157770256","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2261451947","https://openalex.org/W2523246573","https://openalex.org/W2587503573","https://openalex.org/W2885696608","https://openalex.org/W2889774027","https://openalex.org/W2891657227","https://openalex.org/W2911368153","https://openalex.org/W2919115771","https://openalex.org/W2922230884","https://openalex.org/W2957484200","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964346351","https://openalex.org/W2968547877","https://openalex.org/W3039343861","https://openalex.org/W3088631780","https://openalex.org/W3198099606","https://openalex.org/W3202448881","https://openalex.org/W3208926440","https://openalex.org/W4210702177","https://openalex.org/W4210930491","https://openalex.org/W4224086644","https://openalex.org/W4225660138","https://openalex.org/W4226206789","https://openalex.org/W4281709855","https://openalex.org/W4285011414","https://openalex.org/W4285225465","https://openalex.org/W4285278796","https://openalex.org/W4285288059","https://openalex.org/W4285295845","https://openalex.org/W4295973393","https://openalex.org/W6632829501","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6682236910","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6727249380"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2545123933","https://openalex.org/W2031673444","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563"],"abstract_inverted_index":{"Narrowband":[0],"and":[1,31,43,83,129],"wideband":[2],"waveforms":[3],"are":[4],"usually":[5],"adopted":[6],"simultaneously":[7],"during":[8],"the":[9,28,38,60,91,95,114,121],"observation":[10],"of":[11,94],"micro-motion":[12,116],"space":[13,117],"targets":[14,118],"by":[15,107],"inverse":[16],"synthetic":[17],"aperture":[18],"radar":[19],"(ISAR),":[20],"which":[21],"can":[22],"collect":[23],"rich":[24],"multimodal":[25],"information":[26],"in":[27],"time-Doppler,":[29],"time-range,":[30],"range-instantaneous-Doppler":[32,84],"domains.":[33],"In":[34,113],"order":[35],"to":[36,68],"exploit":[37],"electromagnetic":[39],"scattering,":[40],"shape,":[41],"structure,":[42],"motion":[44],"characteristics,":[45],"this":[46],"article":[47],"proposes":[48],"an":[49],"attention-augmented":[50,109],"cross-modal":[51,110],"feature":[52,71,92,99,105,111],"fusion":[53,106],"recognition":[54,119],"network,":[55],"namely":[56],"ACM-FR":[57,61,123],"Net.":[58],"Firstly,":[59],"Net":[62,124],"adopts":[63],"convolution":[64],"neural":[65],"network":[66],"(CNN)":[67],"extract":[69],"initial":[70],"vectors":[72,93],"from":[73],"joint":[74],"time-frequency":[75],"(JTF)":[76],"image,":[77,86],"high":[78,127],"resolution":[79],"range":[80],"profiles":[81],"(HRRPs),":[82],"(RID)":[85],"respectively.":[87],"Then,":[88],"it":[89,102],"transforms":[90],"three":[96],"modalities":[97],"into":[98],"sequences.":[100],"Finally,":[101],"achieves":[103],"interactive":[104],"implementing":[108],"fusion.":[112],"four-category":[115],"experiments,":[120],"proposed":[122],"has":[125],"demonstrated":[126],"accuracy":[128],"noise":[130],"robustness.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
