{"id":"https://openalex.org/W4387803748","doi":"https://doi.org/10.1109/igarss52108.2023.10282727","title":"SAR Target Recognition via Information Dissemination Networks","display_name":"SAR Target Recognition via Information Dissemination Networks","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803748","doi":"https://doi.org/10.1109/igarss52108.2023.10282727"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015515281","display_name":"Zhiqiang Zeng","orcid":"https://orcid.org/0000-0002-6615-9626"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zeng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University,Beijing,China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778202","display_name":"Jinping Sun","orcid":"https://orcid.org/0000-0002-7184-5057"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University,Beijing,China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101043706","display_name":"Xianxun Yao","orcid":"https://orcid.org/0000-0002-9008-7626"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxun Yao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University,Beijing,China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109111988","display_name":"Dandan Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dandan Gu","raw_affiliation_strings":["Science and Technology on Electromagnetic Scattering Laboratory,Shanghai,China","Science and Technology on Electromagnetic Scattering Laboratory, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Electromagnetic Scattering Laboratory,Shanghai,China","institution_ids":[]},{"raw_affiliation_string":"Science and Technology on Electromagnetic Scattering Laboratory, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9569,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77904108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"7019","last_page":"7022"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9987999796867371,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9973000288009644,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8474422693252563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8235346078872681},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.7429569959640503},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.6406285762786865},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.627062201499939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6034538149833679},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49997997283935547},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4874303638935089},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4830525517463684},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4705890715122223},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4573253393173218},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4316396415233612},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.431041955947876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42115819454193115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41798263788223267},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3900183439254761},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.33806025981903076},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10844001173973083}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8474422693252563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8235346078872681},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.7429569959640503},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.6406285762786865},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.627062201499939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6034538149833679},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49997997283935547},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4874303638935089},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4830525517463684},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4705890715122223},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4573253393173218},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4316396415233612},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.431041955947876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42115819454193115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41798263788223267},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3900183439254761},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.33806025981903076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10844001173973083},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":12,"referenced_works":["https://openalex.org/W2887270943","https://openalex.org/W3010250471","https://openalex.org/W3123596047","https://openalex.org/W3137365474","https://openalex.org/W3168262362","https://openalex.org/W3186409694","https://openalex.org/W3215715933","https://openalex.org/W4214854488","https://openalex.org/W4226220893","https://openalex.org/W4285288059","https://openalex.org/W4285310237","https://openalex.org/W4312471029"],"related_works":["https://openalex.org/W1965572316","https://openalex.org/W4390678388","https://openalex.org/W2112220318","https://openalex.org/W2131815970","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W2006284743","https://openalex.org/W3094709941","https://openalex.org/W3041793138","https://openalex.org/W1552305638"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3],"learning":[4],"(DL)":[5],"algorithms":[6],"have":[7],"been":[8],"successfully":[9],"applied":[10],"in":[11,89],"synthetic":[12],"aperture":[13],"radar":[14],"automatic":[15],"target":[16,25,88],"recognition":[17,102],"(SAR-ATR)":[18],"owing":[19],"to":[20,95,112,148],"its":[21],"powerful":[22],"and":[23,28,60,82,141],"excellent":[24],"feature":[26],"extraction":[27],"representation":[29,98],"ability.":[30],"However,":[31],"these":[32],"DL-based":[33,152],"models":[34],"merely":[35],"exploit":[36],"the":[37,47,51,80,97,115,119,126,135,139,144,149],"intensity":[38],"(magnitude)":[39],"information":[40,72,92],"of":[41,86,100,118,128,143],"SAR":[42,52,87,101],"target,":[43],"without":[44],"fully":[45],"considering":[46,79],"domain":[48],"characteristics":[49],"underlying":[50],"images,":[53],"for":[54],"example,":[55],"azimuth,":[56],"scattering":[57],"center,":[58],"phase":[59],"so":[61],"on.":[62],"To":[63],"address":[64],"this":[65,67],"issue,":[66],"paper":[68],"proposes":[69],"a":[70,90,107],"novel":[71],"dissemination":[73,93],"networks,":[74],"called":[75],"IDNets,":[76],"by":[77],"both":[78],"azimuth":[81],"strong":[83],"scatter":[84],"centers":[85],"multi-scale":[91,121],"mechanism":[94,111],"improve":[96],"capability":[99],"model.":[103],"Moreover,":[104],"IDNets":[105,146],"introduces":[106],"stream-based":[108],"self-attention":[109],"(SSA)":[110],"adaptively":[113],"learn":[114],"attention":[116],"distribution":[117],"multi-streams":[120],"sematic":[122],"features,":[123],"further":[124],"enhancing":[125],"performance":[127],"SAR-ATR":[129,153],"system.":[130],"Experimental":[131],"results":[132],"conducted":[133],"on":[134],"MSTAR":[136],"dataset":[137],"demonstrate":[138],"effectiveness":[140],"superiority":[142],"proposed":[145],"compared":[147],"current":[150],"state-of-the-art":[151],"methods.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}