{"id":"https://openalex.org/W4388624555","doi":"https://doi.org/10.1109/tgrs.2023.3332127","title":"Marine Small Floating Target Detection Method Based on Fusion Weight and Graph Dynamic Attention Mechanism","display_name":"Marine Small Floating Target Detection Method Based on Fusion Weight and Graph Dynamic Attention Mechanism","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388624555","doi":"https://doi.org/10.1109/tgrs.2023.3332127"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3332127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3332127","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5012197757","display_name":"Hongtao Ru","orcid":"https://orcid.org/0000-0001-9925-7217"},"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":"Hongtao Ru","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072219013","display_name":"Shuwen Xu","orcid":"https://orcid.org/0000-0002-3557-5897"},"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":"Shuwen Xu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017897937","display_name":"Qi He","orcid":"https://orcid.org/0000-0001-5437-3169"},"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":"Qi He","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071090412","display_name":"Peng\u2010Lang Shui","orcid":"https://orcid.org/0000-0002-5921-5255"},"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":"Penglang Shui","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012197757"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.108,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93287088,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9861000180244446,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/clutter","display_name":"Clutter","score":0.7501955032348633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477796673774719},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6555517911911011},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6164973378181458},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5536410212516785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077556371688843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48361697793006897},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.45120346546173096},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41978710889816284},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11921373009681702}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7501955032348633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477796673774719},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6555517911911011},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6164973378181458},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5536410212516785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077556371688843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48361697793006897},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.45120346546173096},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41978710889816284},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11921373009681702},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3332127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3332127","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G5095065419","display_name":null,"funder_award_id":"62371382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5631434781","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G8204587933","display_name":null,"funder_award_id":"62071346","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"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1983834069","https://openalex.org/W2805777666","https://openalex.org/W2907492528","https://openalex.org/W2943589224","https://openalex.org/W2964321699","https://openalex.org/W3047443805","https://openalex.org/W3103695279","https://openalex.org/W3205805054","https://openalex.org/W3208926440","https://openalex.org/W4205138939","https://openalex.org/W4205912819","https://openalex.org/W4206218592","https://openalex.org/W4285036903","https://openalex.org/W4290043179","https://openalex.org/W4312620670","https://openalex.org/W4312984702","https://openalex.org/W4316660506","https://openalex.org/W4318586120","https://openalex.org/W4362653028","https://openalex.org/W4366198975","https://openalex.org/W4382567922","https://openalex.org/W4384518971","https://openalex.org/W4385245566","https://openalex.org/W6637178625","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6797464607","https://openalex.org/W6875619956"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2180954594","https://openalex.org/W2333771223","https://openalex.org/W2052835778","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2049003611","https://openalex.org/W2012141031","https://openalex.org/W2146230273"],"abstract_inverted_index":{"Sea":[0],"surface":[1],"target":[2,38,98],"detection":[3,39],"with":[4,47],"Graph":[5,27],"Neural":[6],"Networks":[7],"(GNN)":[8],"is":[9,69],"an":[10],"emerging":[11],"method.":[12],"However,":[13],"the":[14,25,65,141,159,163],"correlation":[15,49],"information":[16,130],"of":[17,50,87],"radar":[18,67],"returns":[19],"cannot":[20],"be":[21,91],"efficiently":[22],"exploited":[23],"by":[24],"conventional":[26,156],"Convolutional":[28],"Network":[29],"(GCN).":[30],"Therefore,":[31],"this":[32],"paper":[33],"proposes":[34],"a":[35,72,103],"small":[36,148],"floating":[37,149],"method":[40],"based":[41],"on":[42],"graph":[43,73,82],"attention":[44,59],"network":[45],"(GAT)":[46],"spatio-temporal":[48,78,127],"clutter":[51,96,128],"maps,":[52],"and":[53,57,97,106,114,124,131,136,162],"designs":[54],"fusion":[55],"weighting":[56],"dynamic":[58],"mechanism":[60],"for":[61,94],"practical":[62],"problem.":[63],"First,":[64],"dwell":[66],"data":[68,138],"modeled":[70],"as":[71],"structure":[74,83],"according":[75],"to":[76,90,109,119],"its":[77],"information.":[79],"The":[80],"proposed":[81,142],"allows":[84],"Doppler":[85],"spectra":[86],"same-type":[88],"samples":[89],"accumulated":[92],"separately":[93],"sea":[95,121],"returns.":[99],"Then,":[100],"we":[101],"propose":[102],"GAT-based":[104],"detector":[105],"optimize":[107],"it":[108],"create":[110],"variants:":[111],"GATv2,":[112],"GAT-Fused,":[113],"GATv2-Fused.":[115],"These":[116],"variants":[117],"aim":[118],"reduce":[120],"spike":[122],"interference":[123],"jointly":[125],"utilize":[126],"map":[129],"feature":[132],"correlation.":[133],"Both":[134],"measured":[135],"simulated":[137],"demonstrate":[139],"that":[140],"attention-based":[143],"detectors":[144],"effectively":[145],"identify":[146],"marine":[147],"targets,":[150],"including":[151],"out-of-distribution":[152],"(OOD)":[153],"detection,":[154],"outperforming":[155],"feature-based":[157],"detectors,":[158],"GCN":[160],"detector,":[161],"pure":[164],"GAT":[165],"detector.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
