{"id":"https://openalex.org/W4206102477","doi":"https://doi.org/10.1109/iccc54389.2021.9674618","title":"Remote Sensing Image Target Detection Algorithm Based on Multi-dimension Attention","display_name":"Remote Sensing Image Target Detection Algorithm Based on Multi-dimension Attention","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4206102477","doi":"https://doi.org/10.1109/iccc54389.2021.9674618"},"language":"en","primary_location":{"id":"doi:10.1109/iccc54389.2021.9674618","doi":"https://doi.org/10.1109/iccc54389.2021.9674618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc54389.2021.9674618","pdf_url":null,"source":{"id":"https://openalex.org/S7407087561","display_name":"IEEE International Conference on Computer and Communications (ICCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computer and Communications (ICCC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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":null,"display_name":"Pengfei Shi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Shi","raw_affiliation_strings":["Hohai University","College of Internet of Things Engineering, Hohai University, Changzhou, China","Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rong Fan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Fan","raw_affiliation_strings":["Hohai University","College of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115621200","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0002-1758-8782","observed_orcids":["https://orcid.org/0000-0002-1758-8782"]},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["Hohai University","College of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064522410","display_name":"Xuan Wu Zhou","orcid":"https://orcid.org/0000-0002-4381-4413","observed_orcids":["https://orcid.org/0000-0002-4381-4413"]},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zhou","raw_affiliation_strings":["Hohai University","College of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101512598","display_name":"Xinyang Chen","orcid":"https://orcid.org/0000-0003-1145-510X","observed_orcids":["https://orcid.org/0000-0003-1145-510X"]},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyang Chen","raw_affiliation_strings":["Hohai University","College of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.1541,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40034557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9785000085830688,"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":0.9785000085830688,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.007499999832361937,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.004100000020116568,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/retinanet","display_name":"RetinaNet","score":0.8510000109672546},{"id":"https://openalex.org/keywords/feature-pyramid-network","display_name":"feature pyramid network","score":0.984000027179718},{"id":"https://openalex.org/keywords/multiscale-feature-fusion","display_name":"multi-scale feature fusion","score":0.8050000071525574},{"id":"https://openalex.org/keywords/small-object-detection","display_name":"small object detection","score":0.7710000276565552}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7096178531646729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692406415939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631038248538971},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5963796377182007},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5635691285133362},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5391884446144104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5391268134117126},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5055935382843018},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.497074156999588},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48954710364341736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4801470637321472},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46918511390686035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4257504940032959},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3824734091758728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17948463559150696},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/iccc54389.2021.9674618","doi":"https://doi.org/10.1109/iccc54389.2021.9674618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc54389.2021.9674618","pdf_url":null,"source":{"id":"https://openalex.org/S7407087561","display_name":"IEEE International Conference on Computer and Communications (ICCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computer and Communications (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325564","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2570343428","https://openalex.org/W2743706233","https://openalex.org/W2855340099","https://openalex.org/W2884561390","https://openalex.org/W2900741051","https://openalex.org/W2902184095","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2964080601","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W4377009026","https://openalex.org/W4361758046","https://openalex.org/W4312452405","https://openalex.org/W4400450246","https://openalex.org/W4293209327","https://openalex.org/W7203836447","https://openalex.org/W4377693289","https://openalex.org/W4211253060","https://openalex.org/W7123335696","https://openalex.org/W4312890985"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,9,31,36,40,53,62,71,75,82,87,91,102,111,114,120],"problem":[3],"of":[4,49,64,67,119],"missing":[5],"detection":[6,19],"caused":[7],"by":[8,127],"densely":[10],"arranged":[11],"targets":[12],"in":[13],"remote":[14],"sensing":[15],"images,":[16],"a":[17],"target":[18,33,88],"algorithm":[20,29,122],"based":[21],"on":[22,123],"multi-dimension":[23],"attention":[24,76],"is":[25,43,58,78,125],"proposed.":[26],"The":[27,104],"proposed":[28],"uses":[30],"RetinaNet":[32,112],"detector":[34],"as":[35],"main":[37],"framework.":[38],"Firstly,":[39],"backbone":[41],"network":[42],"used":[44,59,79,97],"to":[45,60,80,98],"extract":[46],"feature":[47,65,72],"maps":[48,66],"different":[50,68],"scales.":[51,69],"Secondly,":[52],"Feature":[54],"Pyramid":[55],"Net":[56],"(FPN)":[57],"realize":[61],"fusion":[63],"Then,":[70],"map":[73],"through":[74],"module":[77],"suppress":[81],"boundary":[83],"noise":[84],"and":[85,93,100],"highlight":[86],"features.":[89],"Finally,":[90],"class":[92],"box":[94],"subnets":[95],"are":[96],"classify":[99],"locate":[101],"target.":[103],"experimental":[105],"results":[106],"show":[107],"that,":[108],"compared":[109],"with":[110],"algorithm,":[113],"mean":[115],"Average":[116],"Precision":[117],"(mAP)":[118],"improved":[121,126],"small-DOTA":[124],"5.55%.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2022-01-25T00:00:00"}
