{"id":"https://openalex.org/W3007833995","doi":"https://doi.org/10.1109/access.2020.2976121","title":"Multi-AUV Collaborative Target Recognition Based on Transfer-Reinforcement Learning","display_name":"Multi-AUV Collaborative Target Recognition Based on Transfer-Reinforcement Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007833995","doi":"https://doi.org/10.1109/access.2020.2976121","mag":"3007833995"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2976121","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2976121","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007726.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007726.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081396646","display_name":"Lei Cai","orcid":"https://orcid.org/0000-0003-4811-5854"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Cai","raw_affiliation_strings":["School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004505865","display_name":"Qiankun Sun","orcid":"https://orcid.org/0000-0003-1067-3666"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiankun Sun","raw_affiliation_strings":["School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023052125","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-8821-4550"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568886","display_name":"Yukun Ma","orcid":"https://orcid.org/0000-0002-4419-4287"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Ma","raw_affiliation_strings":["School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065397399","display_name":"Zhenxue Chen","orcid":"https://orcid.org/0000-0001-9637-5170"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxue Chen","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081396646"],"corresponding_institution_ids":["https://openalex.org/I4210163247"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8462,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92256556,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"39273","last_page":"39284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.7937332391738892},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6828269958496094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6444036364555359},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.5962588787078857},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5806123614311218},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5531168580055237},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.506058394908905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49542486667633057},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4448702335357666},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43952038884162903},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42378681898117065},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4216604232788086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3570839762687683},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.28429436683654785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0937366783618927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937332391738892},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6828269958496094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6444036364555359},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.5962588787078857},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5806123614311218},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5531168580055237},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.506058394908905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49542486667633057},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4448702335357666},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43952038884162903},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42378681898117065},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4216604232788086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3570839762687683},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.28429436683654785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0937366783618927},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2976121","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2976121","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007726.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b8cc3e9a543d4cf0baa2fe56e5049022","is_oa":true,"landing_page_url":"https://doaj.org/article/b8cc3e9a543d4cf0baa2fe56e5049022","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 39273-39284 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2976121","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2976121","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007726.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2919340735","display_name":null,"funder_award_id":"61703143","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3735686512","display_name":null,"funder_award_id":"61703143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3823527860","display_name":null,"funder_award_id":"2017GGJS123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3965392733","display_name":null,"funder_award_id":"ZD18006","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G4350245657","display_name":null,"funder_award_id":"192102310260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5979195220","display_name":null,"funder_award_id":"192102310260","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6748129956","display_name":null,"funder_award_id":"ZD18006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7881948254","display_name":null,"funder_award_id":"2017GGJS123","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007833995.pdf","grobid_xml":"https://content.openalex.org/works/W3007833995.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1925297696","https://openalex.org/W1964512344","https://openalex.org/W2065337811","https://openalex.org/W2108905276","https://openalex.org/W2253429366","https://openalex.org/W2530913366","https://openalex.org/W2615692274","https://openalex.org/W2618255684","https://openalex.org/W2731516742","https://openalex.org/W2767184555","https://openalex.org/W2767743565","https://openalex.org/W2770363598","https://openalex.org/W2781170968","https://openalex.org/W2790490299","https://openalex.org/W2793245122","https://openalex.org/W2793523928","https://openalex.org/W2798117183","https://openalex.org/W2801441281","https://openalex.org/W2808910047","https://openalex.org/W2890848540","https://openalex.org/W2891053015","https://openalex.org/W2895828670","https://openalex.org/W2898142143","https://openalex.org/W2901451406","https://openalex.org/W2905359778","https://openalex.org/W2909934716","https://openalex.org/W2912105508","https://openalex.org/W2945786113","https://openalex.org/W2950135035","https://openalex.org/W2963516811","https://openalex.org/W2964327615","https://openalex.org/W2966149203","https://openalex.org/W3099097979","https://openalex.org/W3100789280","https://openalex.org/W3104515094","https://openalex.org/W3105730638","https://openalex.org/W6758730332","https://openalex.org/W6891797237"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W939486154","https://openalex.org/W2053213469","https://openalex.org/W2057608111","https://openalex.org/W2793032185","https://openalex.org/W2262622710"],"abstract_inverted_index":{"Due":[0,25],"to":[1,18,26,161],"the":[2,27,33,37,44,63,90,98,103,108,112,119,127,133,136,140,154,158,162,166,175,179,186,205,209],"existence":[3],"of":[4,22,30,36,43,62,82,135,157,169,178],"unfavorable":[5],"factors":[6],"such":[7],"as":[8],"turbid":[9],"water":[10],"quality":[11],"and":[12,77,89,118,124,172,201,204],"target":[13,23,53,64,109,141,163,195],"occlusion,":[14,196],"it":[15],"is":[16,39,67,84,93,115],"difficult":[17],"obtain":[19],"valid":[20],"data":[21,156],"features.":[24],"repeated":[28,167],"calculation":[29,168],"similar":[31,170],"data,":[32,171],"real-time":[34,176],"performance":[35,177],"algorithm":[38],"poor.":[40],"In":[41],"view":[42],"above":[45],"problems,":[46],"this":[47],"paper":[48],"proposes":[49],"a":[50],"multi-AUV":[51,70],"collaborative":[52],"recognition":[54],"method":[55],"based":[56,73,96,148],"on":[57,74,97,102,139,149],"transfer-reinforcement":[58],"learning.":[59],"The":[60,80,143],"features":[61,83,121],"information":[65,110],"which":[66,130],"collected":[68],"by":[69,86],"are":[71,122,183],"fused":[72],"wavelet":[75],"transformation":[76],"affine":[78],"invariance.":[79],"similarity":[81,99],"calculated":[85],"Mahalanobis":[87],"distance":[88],"learning":[91,106,146],"model":[92,147,211],"selected":[94],"autonomously":[95],"threshold.":[100],"Based":[101],"Q-learning":[104],"reinforcement":[105],"model,":[107],"under":[111,189],"interference":[113,138],"environment":[114],"trained":[116],"intensively,":[117],"effective":[120],"extracted":[123],"stored":[125],"in":[126,185],"source":[128,159],"domain,":[129,164],"can":[131],"reduce":[132],"impact":[134],"environmental":[137],"recognition.":[142],"feature":[144,155],"transfer":[145],"deep":[150],"confidence":[151],"network":[152],"transfers":[153],"domain":[160],"reducing":[165],"then":[173],"ensuring":[174],"algorithm.":[180],"Simulation":[181],"experiments":[182],"conducted":[184],"SUN":[187],"dataset":[188],"five":[190],"underwater":[191],"environments":[192],"(turbid":[193],"water,":[194],"insufficient":[197],"light,":[198],"complex":[199],"background,":[200],"overlapping":[202],"targets),":[203],"results":[206],"demonstrate":[207],"that":[208],"proposed":[210],"achieves":[212],"better":[213],"performance.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
