{"id":"https://openalex.org/W3210847829","doi":"https://doi.org/10.1109/icspcc52875.2021.9564861","title":"A Multiscale Dual-Attention based Convolutional Neural Network for Ship Classification in SAR Image","display_name":"A Multiscale Dual-Attention based Convolutional Neural Network for Ship Classification in SAR Image","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3210847829","doi":"https://doi.org/10.1109/icspcc52875.2021.9564861","mag":"3210847829"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5074399963","display_name":"Gaoyu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoyu Zhou","raw_affiliation_strings":["Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368308","display_name":"Gong Zhang","orcid":"https://orcid.org/0000-0002-7723-7538"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Zhang","raw_affiliation_strings":["Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032540560","display_name":"Zheng Fang","orcid":"https://orcid.org/0000-0001-5553-1747"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Fang","raw_affiliation_strings":["Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069724199","display_name":"Qijun Dai","orcid":"https://orcid.org/0000-0001-5317-0730"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Dai","raw_affiliation_strings":["Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":3.329,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92444444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9934999942779541,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7394117116928101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7369906902313232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7244223356246948},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6620529890060425},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6520376205444336},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6193073987960815},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5395142436027527},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5233855843544006},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5225077271461487},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4418703317642212},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4349311888217926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28422045707702637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12422025203704834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394117116928101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7369906902313232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7244223356246948},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6620529890060425},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6520376205444336},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6193073987960815},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5395142436027527},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5233855843544006},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5225077271461487},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4418703317642212},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4349311888217926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28422045707702637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12422025203704834},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9564861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G2029237251","display_name":null,"funder_award_id":"KYCX21_0216","funder_id":"https://openalex.org/F4320326180","funder_display_name":"Jiangsu Postdoctoral Research Foundation"},{"id":"https://openalex.org/G3338074548","display_name":null,"funder_award_id":"61801211,61871218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3412396153","display_name":null,"funder_award_id":"2018_SGIIT_KFJJ_AI_03","funder_id":"https://openalex.org/F4320321537","funder_display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center"},{"id":"https://openalex.org/G5491966201","display_name":null,"funder_award_id":"3082019NC2019002,NG2020001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321537","display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259"},{"id":"https://openalex.org/F4320326180","display_name":"Jiangsu Postdoctoral Research Foundation","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2079299474","https://openalex.org/W2517475170","https://openalex.org/W2751615339","https://openalex.org/W2762294195","https://openalex.org/W2810931990","https://openalex.org/W2887218698","https://openalex.org/W2890212406","https://openalex.org/W2913323966","https://openalex.org/W2955058313","https://openalex.org/W2962835968","https://openalex.org/W3044749031","https://openalex.org/W3081252408","https://openalex.org/W3132784030","https://openalex.org/W3135205122","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891"],"abstract_inverted_index":{"Classical":[0],"ship":[1,23,98,148],"target":[2],"classification":[3,164],"algorithms":[4],"in":[5,37,168],"synthetic":[6],"aperture":[7],"radar":[8],"(SAR)":[9],"images":[10,49,170],"mainly":[11],"rely":[12],"on":[13,116,144],"manual":[14],"extraction":[15],"of":[16,70,84,93,138,166],"simple":[17],"physical":[18],"features":[19,45,158],"to":[20,40,59,66,79,88,130],"distinguish":[21],"different":[22,97],"types.":[24],"A":[25],"novel":[26],"multiscale":[27],"dual-attention":[28],"(MDA)":[29],"based":[30],"convolutional":[31],"neural":[32],"network":[33],"(CNN)":[34],"is":[35,77,122,127],"proposed":[36],"this":[38,152],"paper":[39],"highlight":[41],"the":[42,55,61,68,74,81,85,90,101,113,145,163],"deep":[43,156],"distinguishable":[44],"extracted":[46],"from":[47],"SAR":[48,147,169],"for":[50],"classification.":[51],"First,":[52],"we":[53],"apply":[54],"data":[56],"enhancement":[57],"method":[58,153,174],"expand":[60],"limited":[62],"labeled":[63],"sample":[64],"set":[65],"alleviate":[67],"defect":[69],"unbalanced":[71],"dataset.":[72],"Second,":[73],"squeeze-and-excitation(SE)":[75],"block":[76],"adopted":[78],"learn":[80],"initial":[82],"weight":[83],"feature":[86,103,133],"maps":[87,104],"mitigate":[89],"negative":[91],"effects":[92],"large":[94],"similarity":[95],"between":[96],"classes.":[99],"Third,":[100],"weighted":[102],"are":[105],"sent":[106],"into":[107],"two":[108],"parallel":[109],"self-attention":[110],"blocks,":[111],"and":[112,119,141,160,175],"semantic":[114],"dependence":[115],"spatial":[117],"dimension":[118,121],"channel":[120],"modeled":[123],"respectively.":[124],"Feature":[125],"fusion":[126],"carried":[128],"out":[129],"further":[131,161],"improve":[132,162],"discrimination":[134],"ability.":[135],"The":[136],"results":[137],"ablation":[139],"experiments":[140,143],"comparative":[142],"open":[146],"dataset":[149],"show":[150],"that":[151],"can":[154],"mine":[155],"discriminant":[157],"effectively,":[159],"accuracy":[165],"ships":[167],"compared":[171],"with":[172],"baseline":[173],"other":[176],"latest":[177],"methods.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
