{"id":"https://openalex.org/W4385656562","doi":"https://doi.org/10.1109/tcyb.2023.3293033","title":"Explicable Fine-Grained Aircraft Recognition Via Deep Part Parsing Prior Framework for High-Resolution Remote Sensing Imagery","display_name":"Explicable Fine-Grained Aircraft Recognition Via Deep Part Parsing Prior Framework for High-Resolution Remote Sensing Imagery","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4385656562","doi":"https://doi.org/10.1109/tcyb.2023.3293033","pmid":"https://pubmed.ncbi.nlm.nih.gov/37552595"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2023.3293033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3293033","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5069488868","display_name":"Dingyuan Chen","orcid":"https://orcid.org/0000-0001-9907-4613"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingyuan Chen","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030713988","display_name":"Ailong Ma","orcid":"https://orcid.org/0000-0003-3692-6473"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ailong Ma","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000877601","display_name":"Zhuo Zheng","orcid":"https://orcid.org/0000-0003-1811-6725"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zheng","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069488868"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":1.4817,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84502711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"54","issue":"7","first_page":"3968","last_page":"3979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.901804506778717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072700262069702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6959100961685181},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6269803643226624},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5159145593643188},{"id":"https://openalex.org/keywords/fuselage","display_name":"Fuselage","score":0.48945489525794983},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.487313836812973},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4638322591781616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4465809762477875},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4130706191062927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38717949390411377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32282698154449463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1331670880317688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07844507694244385}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.901804506778717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072700262069702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6959100961685181},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6269803643226624},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5159145593643188},{"id":"https://openalex.org/C113556839","wikidata":"https://www.wikidata.org/wiki/Q1110579","display_name":"Fuselage","level":2,"score":0.48945489525794983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.487313836812973},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4638322591781616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4465809762477875},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4130706191062927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38717949390411377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32282698154449463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1331670880317688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07844507694244385},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2023.3293033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3293033","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:37552595","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37552595","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1223461643","display_name":null,"funder_award_id":"42071350","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4248245130","https://openalex.org/W1527563262","https://openalex.org/W1966616960","https://openalex.org/W4312554538","https://openalex.org/W1982444000","https://openalex.org/W3130756715","https://openalex.org/W2039210922","https://openalex.org/W4312342900","https://openalex.org/W2058313026","https://openalex.org/W2152075398"],"abstract_inverted_index":{"Aircraft":[0],"recognition":[1,42,59,214],"is":[2,209],"crucial":[3],"in":[4,157,232],"both":[5],"civil":[6],"and":[7,10,97,111,126,161,180,200,216,241],"military":[8],"fields,":[9],"high-spatial":[11],"resolution":[12],"remote":[13],"sensing":[14],"has":[15],"emerged":[16],"as":[17,75],"a":[18,50,63,76,143,158,165,170],"practical":[19],"approach.":[20],"However,":[21],"existing":[22],"data-driven":[23],"methods":[24,225],"fail":[25],"to":[26,35,40,107,141,168,177,196],"locate":[27],"discriminative":[28,148,198],"regions":[29],"for":[30,123,146,173,203,251],"effective":[31,249],"feature":[32],"extraction":[33],"due":[34],"limited":[36],"training":[37],"data,":[38],"leading":[39],"poor":[41],"performance.":[43,219],"To":[44],"address":[45],"this":[46,139],"issue,":[47],"we":[48],"propose":[49],"knowledge-driven":[51,132],"deep":[52],"learning":[53,224],"method":[54],"called":[55],"the":[56,71,87,116,120,188,227,239,244,247],"explicable":[57],"aircraft":[58,109,133,178,213,245],"framework":[60,208,231],"based":[61],"on":[62,211],"part":[64,78,105,134,155,183,190],"parsing":[65,79],"prior":[66,102,140],"(APPEAR).":[67],"APPEAR":[68,207],"explicitly":[69],"models":[70],"aircraft's":[72],"rigid":[73],"structure":[74],"pixel-level":[77],"prior,":[80],"dividing":[81],"it":[82],"into":[83,164],"five":[84],"parts:":[85],"1)":[86],"nose;":[88],"2)":[89],"left":[90],"wing;":[91,94],"3)":[92],"right":[93],"4)":[95],"fuselage;":[96],"5)":[98],"tail.":[99],"This":[100],"fine-grained":[101],"provides":[103],"reliable":[104],"locations":[106],"delineate":[108],"architecture":[110],"imposes":[112],"spatial":[113],"constraints":[114],"among":[115],"parts,":[117,199],"effectively":[118],"reducing":[119],"search":[121],"space":[122,167],"model":[124],"optimization":[125],"identifying":[127,147],"subtle":[128],"interclass":[129],"differences.":[130],"A":[131],"attention":[135,184],"(KAPA)":[136],"module":[137,185],"uses":[138],"achieving":[142],"geometric-invariant":[144],"representation":[145,172],"features.":[149],"Part":[150],"features":[151],"are":[152,246],"generated":[153],"by":[154],"indexing":[156],"specific":[159],"order":[160],"sequentially":[162],"embedded":[163,189],"compact":[166],"obtain":[169],"fixed-length":[171],"each":[174],"part,":[175],"invariant":[176],"orientation":[179],"scale.":[181],"The":[182,205],"then":[186],"takes":[187],"features,":[191],"adaptively":[192],"reweights":[193],"their":[194],"importance":[195],"identify":[197],"aggregates":[201],"them":[202],"recognition.":[204,252],"proposed":[206],"evaluated":[210],"two":[212],"datasets":[215],"achieves":[217],"superior":[218],"Moreover,":[220],"experiments":[221],"with":[222],"few-shot":[223],"demonstrate":[226],"robustness":[228],"of":[229,243],"our":[230],"different":[233],"tasks.":[234],"Ablation":[235],"analysis":[236],"illustrates":[237],"that":[238],"fuselage":[240],"wings":[242],"most":[248],"parts":[250]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
