{"id":"https://openalex.org/W3208637217","doi":"https://doi.org/10.1109/icspcc52875.2021.9564512","title":"Underwater Multi-Class Targets Classification Based on Conflict Confidence Fusion","display_name":"Underwater Multi-Class Targets Classification Based on Conflict Confidence Fusion","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3208637217","doi":"https://doi.org/10.1109/icspcc52875.2021.9564512","mag":"3208637217"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564512","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/A5055981525","display_name":"Zhe Jiang","orcid":"https://orcid.org/0000-0002-6147-7393"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Jiang","raw_affiliation_strings":["School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736152","display_name":"Xuewen Chen","orcid":"https://orcid.org/0000-0001-6655-9657"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Chen","raw_affiliation_strings":["School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071390331","display_name":"Ke He","orcid":"https://orcid.org/0000-0001-5585-6859"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke He","raw_affiliation_strings":["School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102049667","display_name":"Haitao Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Dong","raw_affiliation_strings":["School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22383985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9754999876022339,"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/computer-science","display_name":"Computer science","score":0.6882644891738892},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6784282922744751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6155165433883667},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6092785596847534},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.583797812461853},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.580713152885437},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5337314009666443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.51850426197052},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5105608701705933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4939036965370178},{"id":"https://openalex.org/keywords/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.49182891845703125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4898674190044403},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4898662269115448},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4314744770526886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1680547595024109},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12794843316078186},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08989578485488892},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08404821157455444},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07498714327812195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882644891738892},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6784282922744751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155165433883667},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6092785596847534},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.583797812461853},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.580713152885437},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5337314009666443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.51850426197052},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5105608701705933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4939036965370178},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.49182891845703125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4898674190044403},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4898662269115448},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4314744770526886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1680547595024109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12794843316078186},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08989578485488892},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08404821157455444},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07498714327812195},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9564512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564512","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":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G201902814","display_name":null,"funder_award_id":"61771401","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2020089616","https://openalex.org/W2089572792","https://openalex.org/W2202891604","https://openalex.org/W2765350204","https://openalex.org/W2920091008"],"related_works":["https://openalex.org/W4248304816","https://openalex.org/W2067330150","https://openalex.org/W2375966783","https://openalex.org/W2335002055","https://openalex.org/W2377368844","https://openalex.org/W2360003067","https://openalex.org/W1971957814","https://openalex.org/W2363160655","https://openalex.org/W4200472336","https://openalex.org/W2135586417"],"abstract_inverted_index":{"Due":[0],"to":[1,36,81,145],"the":[2,13,20,47,59,71,74,82,87,116,147,163,174,179],"diversity":[3],"and":[4,15,19,38,41,61,84,133,149,160],"frequent":[5],"update":[6],"of":[7,31,43,73,77,89,92,103,106,119,151,154,162],"underwater":[8,23],"acoustic":[9],"targets,":[10],"coupled":[11],"with":[12,173],"complex":[14],"changeable":[16],"marine":[17],"environment":[18],"non-stationary":[21],"noise,":[22],"targets":[24,52,66,93,107,155],"also":[25],"suffer":[26],"from":[27],"a":[28,99,122,134],"serious":[29],"lack":[30,42],"radiated":[32],"noise":[33],"data":[34,177],"due":[35,80],"time":[37],"place":[39],"constraints":[40],"training":[44],"samples.":[45],"Therefore,":[46],"classification":[48,60,78,148],"method":[49,138,164],"for":[50,64],"multi-class":[51],"in":[53,67,94,108,156,166],"water":[54,109],"is":[55,131,143,169],"more":[56],"difficult":[57],"than":[58],"recognition":[62,79,150],"task":[63],"two-class":[65],"water.":[68,157],"Aiming":[69],"at":[70],"problem":[72],"low":[75],"accuracy":[76],"uncertainty":[83],"conflict":[85,112,117,124,129,141],"between":[86],"characteristics":[88],"multiple":[90,104,152],"types":[91,105,153],"water,":[95],"this":[96,167],"paper":[97,168],"proposes":[98],"SVM-DSmT":[100],"confidence-based":[101],"fusion":[102,137],"based":[110,127,139],"on":[111,128,140,178],"reliability":[113,142],"fusion.":[114],"Through":[115],"analysis":[118,125],"multi-target":[120],"features,":[121],"confidence":[123,136],"model":[126],"processing":[130],"constructed,":[132],"DSmT":[135],"proposed":[144,165],"realize":[146],"The":[158],"feasibility":[159],"effectiveness":[161],"verified":[170],"by":[171],"combining":[172],"field":[175],"test":[176],"lake.":[180]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
