{"id":"https://openalex.org/W2797837464","doi":"https://doi.org/10.1109/access.2018.2825887","title":"Clustering Statistic Hough Transform Based Estimation Method for Motion Elements of Multiple Underwater Targets","display_name":"Clustering Statistic Hough Transform Based Estimation Method for Motion Elements of Multiple Underwater Targets","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2797837464","doi":"https://doi.org/10.1109/access.2018.2825887","mag":"2797837464"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2825887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2825887","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2018.2825887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017411379","display_name":"Zheping Yan","orcid":"https://orcid.org/0000-0002-5598-0275"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheping Yan","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075004200","display_name":"Gengshi Zhang","orcid":"https://orcid.org/0000-0002-1833-1962"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengshi Zhang","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1833-1962","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006743523","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0002-1752-6557"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xu","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681184","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-8702-339X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066455201","display_name":"Xue Du","orcid":"https://orcid.org/0000-0003-1604-1045"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Du","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666590","display_name":"Juan Li","orcid":"https://orcid.org/0000-0002-9991-1538"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5202,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69835449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"23747","last_page":"23766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9991000294685364,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9991000294685364,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9916999936103821,"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":0.7141622304916382},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6691710352897644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6132032871246338},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6022523641586304},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5795779228210449},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5538312196731567},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5311609506607056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4648897051811218},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43730786442756653},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4169241786003113},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41140758991241455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09624508023262024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141622304916382},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6691710352897644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6132032871246338},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6022523641586304},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5795779228210449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5538312196731567},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5311609506607056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4648897051811218},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43730786442756653},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4169241786003113},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41140758991241455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09624508023262024}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2825887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2825887","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1a3b3a25c5294c78bfdedd9138944774","is_oa":true,"landing_page_url":"https://doaj.org/article/1a3b3a25c5294c78bfdedd9138944774","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 6, Pp 23747-23766 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2825887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2825887","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8100000023841858,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1401733761","display_name":null,"funder_award_id":"51679057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5748550644","display_name":null,"funder_award_id":"E2015050","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G6553217178","display_name":null,"funder_award_id":"51409055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G663281879","display_name":null,"funder_award_id":"51709062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G746292463","display_name":null,"funder_award_id":"51609046","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/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1557595030","https://openalex.org/W1965292958","https://openalex.org/W1969599301","https://openalex.org/W1974229496","https://openalex.org/W1975057148","https://openalex.org/W1992419399","https://openalex.org/W2007667002","https://openalex.org/W2009953720","https://openalex.org/W2026131180","https://openalex.org/W2029895480","https://openalex.org/W2036338046","https://openalex.org/W2052240371","https://openalex.org/W2059217757","https://openalex.org/W2062836238","https://openalex.org/W2116041897","https://openalex.org/W2168191822","https://openalex.org/W2172983719","https://openalex.org/W2211178663","https://openalex.org/W2281320744","https://openalex.org/W2314793904","https://openalex.org/W2343338679","https://openalex.org/W2418517984","https://openalex.org/W2511318769","https://openalex.org/W2537745404","https://openalex.org/W2553084692","https://openalex.org/W2588921242","https://openalex.org/W2605084688","https://openalex.org/W2618352019","https://openalex.org/W2625341703","https://openalex.org/W2735670920","https://openalex.org/W2765093485","https://openalex.org/W2767333017","https://openalex.org/W6633511732","https://openalex.org/W6738680935","https://openalex.org/W6740973426"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2366683332"],"abstract_inverted_index":{"Estimation":[0],"for":[1,20,150,162],"motion":[2,21,163],"elements":[3,22],"is":[4,34,109,148,177,189],"one":[5],"of":[6,11,23,52,62,85,127,152,167,200],"the":[7,12,40,53,58,66,70,76,89,93,103,116,120,125,131,156,171,201],"core":[8],"functional":[9],"components":[10],"multiple":[13,24,86,153,173],"targets":[14,87,174],"tracking":[15,175,209],"system.":[16],"Aiming":[17],"at":[18],"estimation":[19,161,206],"underwater":[25,78,172],"targets,":[26],"a":[27],"Clustering":[28],"Statistic":[29],"Hough":[30,113],"Transform":[31],"(CSHT)":[32],"method":[33,147,169,188],"proposed":[35],"in":[36,88,119,130,155,170,180],"order":[37],"to":[38,82,97,115,159,191],"overcome":[39],"false":[41,194],"alarm":[42,195],"and":[43,56,60,92,123,196,203,208],"missing":[44,197],"detection":[45,198],"effects":[46,199],"as":[47,49],"well":[48],"positioning":[50],"errors":[51],"sonar":[54,73,202],"data":[55,68,104,121,142],"improve":[57],"accuracy":[59,207],"reliability":[61],"feature":[63],"extraction.":[64],"First,":[65],"distance-direction":[67],"from":[69],"multi-beam":[71],"forward-looking":[72],"mounted":[74],"on":[75],"unmanned":[77],"vehicle":[79],"are":[80,135],"transformed":[81],"position":[83,94],"curves":[84,95],"earth-fixed":[90],"frame,":[91],"appear":[96],"be":[98],"sampling":[99,117],"points":[100,118],"that":[101,186],"form":[102],"space.":[105],"Second,":[106],"parameter":[107,133,157],"space":[108,134,158],"constructed":[110],"by":[111],"applying":[112],"transform":[114],"space,":[122],"then":[124],"votes":[126],"each":[128],"cell":[129],"rasterized":[132],"accumulated.":[136],"Finally,":[137],"fuzzy":[138],"iterative":[139],"self":[140],"organizing":[141],"analysis":[143],"techniques":[144],"algorithm":[145],"clustering":[146],"exploited":[149],"extraction":[151],"peaks":[154],"realize":[160],"elements.":[164],"The":[165],"application":[166],"CSHT":[168,187],"system":[176],"further":[178],"explained":[179],"this":[181],"paper.":[182],"Simulation":[183],"results":[184],"demonstrate":[185],"insensitive":[190],"environment":[192],"noise,":[193],"offers":[204],"favorable":[205],"performance,":[210],"indicating":[211],"engineering":[212],"reliability.":[213]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
