{"id":"https://openalex.org/W4292183069","doi":"https://doi.org/10.3390/rs14163922","title":"Multi-Path Interactive Network for Aircraft Identification with Optical and SAR Images","display_name":"Multi-Path Interactive Network for Aircraft Identification with Optical and SAR Images","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4292183069","doi":"https://doi.org/10.3390/rs14163922"},"language":"en","primary_location":{"id":"doi:10.3390/rs14163922","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163922","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3922/pdf?version=1660753570","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/2072-4292/14/16/3922/pdf?version=1660753570","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084434297","display_name":"Quanwei Gao","orcid":"https://orcid.org/0000-0003-3557-893X"},"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":"Quanwei Gao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053487344","display_name":"Zhixi Feng","orcid":"https://orcid.org/0000-0002-7372-9180"},"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":"Zhixi Feng","raw_affiliation_strings":["Intelligent Decision and Cognitive Innovation Center of State Administration of Science, Technology and Industry for National Defense, Beijing 100048, China","School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Decision and Cognitive Innovation Center of State Administration of Science, Technology and Industry for National Defense, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"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":"Shuyuan Yang","raw_affiliation_strings":["Intelligent Decision and Cognitive Innovation Center of State Administration of Science, Technology and Industry for National Defense, Beijing 100048, China","School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Decision and Cognitive Innovation Center of State Administration of Science, Technology and Industry for National Defense, Beijing 100048, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078622553","display_name":"Zhihao Chang","orcid":"https://orcid.org/0000-0003-4627-7331"},"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":"Zhihao Chang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003191410","display_name":"Ruyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyu Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100764373"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9055,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74869549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"16","first_page":"3922","last_page":"3922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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":0.998199999332428,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9922000169754028,"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":0.7789241671562195},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6409627199172974},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5728067755699158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5363774299621582},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5073627829551697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5029415488243103},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4363548755645752},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.43250972032546997},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.42209702730178833},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1736690104007721},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14454886317253113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789241671562195},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6409627199172974},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5728067755699158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5363774299621582},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5073627829551697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5029415488243103},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4363548755645752},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.43250972032546997},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.42209702730178833},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1736690104007721},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14454886317253113},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14163922","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163922","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3922/pdf?version=1660753570","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:7494b210dfc24308824119ccf99e9d94","is_oa":true,"landing_page_url":"https://doaj.org/article/7494b210dfc24308824119ccf99e9d94","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 14, Iss 16, p 3922 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/16/3922/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14163922","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 16; Pages: 3922","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14163922","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163922","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3922/pdf?version=1660753570","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292183069.pdf","grobid_xml":"https://content.openalex.org/works/W4292183069.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W2019812041","https://openalex.org/W2059284628","https://openalex.org/W2135228726","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2412558220","https://openalex.org/W2565639579","https://openalex.org/W2588349085","https://openalex.org/W2592403248","https://openalex.org/W2613718673","https://openalex.org/W2745023888","https://openalex.org/W2791199214","https://openalex.org/W2801791132","https://openalex.org/W2883279456","https://openalex.org/W2886912026","https://openalex.org/W2890319410","https://openalex.org/W2929607865","https://openalex.org/W2963037989","https://openalex.org/W2963064196","https://openalex.org/W2982024612","https://openalex.org/W2983417135","https://openalex.org/W2995801068","https://openalex.org/W2997281059","https://openalex.org/W3027738884","https://openalex.org/W3028160024","https://openalex.org/W3032183435","https://openalex.org/W3034552520","https://openalex.org/W3035402333","https://openalex.org/W3036616251","https://openalex.org/W3085291485","https://openalex.org/W3090227540","https://openalex.org/W3098740429","https://openalex.org/W3100667366","https://openalex.org/W3101684954","https://openalex.org/W3106250896","https://openalex.org/W3115007495","https://openalex.org/W3118957360","https://openalex.org/W3135244258","https://openalex.org/W3137397516","https://openalex.org/W3138000966","https://openalex.org/W3138516171","https://openalex.org/W3152390103","https://openalex.org/W3153500217","https://openalex.org/W3156576334","https://openalex.org/W3163612517","https://openalex.org/W3164812679","https://openalex.org/W3169483152","https://openalex.org/W3174058041","https://openalex.org/W3192433332","https://openalex.org/W3201655970","https://openalex.org/W3204027823","https://openalex.org/W3210579416","https://openalex.org/W3212022090","https://openalex.org/W3216412612","https://openalex.org/W4200068521","https://openalex.org/W4200322799","https://openalex.org/W4224940456","https://openalex.org/W4253272880","https://openalex.org/W4319586291","https://openalex.org/W6634501247","https://openalex.org/W6788018596","https://openalex.org/W6788486679","https://openalex.org/W6793632581","https://openalex.org/W6799945053","https://openalex.org/W6802626243","https://openalex.org/W6803568180","https://openalex.org/W6803670618","https://openalex.org/W6804605124"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2379407973","https://openalex.org/W2125195795"],"abstract_inverted_index":{"Aircraft":[0,141],"identification":[1,53],"has":[2],"been":[3],"a":[4,28,35,73],"research":[5],"hotspot":[6],"in":[7,17,156],"remote-sensing":[8],"fields.":[9],"However,":[10],"due":[11],"to":[12,24,42,80,97,109,121],"the":[13,82,116,122,138,149,152,165,168,180,184],"presence":[14],"of":[15,70,84,126,154],"clouds":[16,160],"satellite-borne":[18],"optical":[19,30,62],"imagery,":[20],"it":[21],"is":[22,40,78,94,107,146,173],"difficult":[23],"identify":[25],"aircraft":[26,52,158],"using":[27],"single":[29],"image.":[31],"In":[32],"this":[33],"paper,":[34],"Multi-path":[36],"Interactive":[37,88],"Network":[38],"(MIN)":[39],"proposed":[41,79,181],"fuse":[43],"Optical":[44],"and":[45,63,124,130,148,179],"Synthetic":[46],"Aperture":[47],"Radar":[48],"(SAR)":[49],"images":[50,65],"for":[51,128],"on":[54,137],"cloudy":[55],"days.":[56],"First,":[57],"features":[58,100,112,118],"are":[59,119,134],"extracted":[60],"from":[61,101,113],"SAR":[64],"separately":[66],"by":[67,175],"convolution":[68],"backbones":[69],"ResNet-34.":[71],"Second,":[72],"piecewise":[74],"residual":[75],"fusion":[76,91,170],"strategy":[77],"reduce":[81],"effect":[83],"clouds.":[85],"A":[86],"plug-and-play":[87],"Attention":[89],"Sum-Max":[90],"module":[92],"(IASM),":[93],"thus":[95],"constructed":[96],"interact":[98],"with":[99,161,164],"multi-modal":[102,111],"images.":[103],"Moreover,":[104],"multi-path":[105],"IASM":[106],"designed":[108],"mix":[110],"backbones.":[114],"Finally,":[115],"fused":[117],"sent":[120],"neck":[123],"head":[125],"MIN":[127,155,172],"regression":[129],"classification.":[131],"Extensive":[132],"experiments":[133],"carried":[135],"out":[136],"Fused":[139],"Cloudy":[140],"Detection":[142],"(FCAD)":[143],"dataset":[144],"that":[145],"constructed,":[147],"results":[150],"show":[151],"efficiency":[153],"identifying":[157],"under":[159],"different":[162],"thicknesses.Compared":[163],"single-source":[166],"model,":[167],"multi-source":[169],"model":[171],"improved":[174],"more":[176],"than":[177],"20%,":[178],"method":[182],"outperforms":[183],"state-of-the-art":[185],"approaches.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}