{"id":"https://openalex.org/W3039940047","doi":"https://doi.org/10.1142/s0218001421500063","title":"Detection Algorithm of the Shipwreck Target Based on Residual Contour Information","display_name":"Detection Algorithm of the Shipwreck Target Based on Residual Contour Information","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3039940047","doi":"https://doi.org/10.1142/s0218001421500063","mag":"3039940047"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001421500063","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421500063","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100343533","display_name":"Ke Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Li","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Jiefang Road 717, 145 mailbox Wuhan 430033, Hubei, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0627-0573","affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Jiefang Road 717, 145 mailbox Wuhan 430033, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103045505","display_name":"Zhong Liu","orcid":"https://orcid.org/0000-0003-4096-3170"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Liu","raw_affiliation_strings":["Weapon Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weapon Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112497110","display_name":"Jianbin Lu","orcid":"https://orcid.org/0000-0002-1645-5558"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Lu","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765011","display_name":"Liguo Liu","orcid":"https://orcid.org/0000-0001-8461-164X"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liguo Liu","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091445163","display_name":"Nan Qin","orcid":"https://orcid.org/0000-0002-7042-9537"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Qin","raw_affiliation_strings":["Naval Submarine Academy, Qingdao, Shandong, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Submarine Academy, Qingdao, Shandong, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112545926","display_name":"Jingxin An","orcid":"https://orcid.org/0009-0009-1799-8632"},"institutions":[{"id":"https://openalex.org/I4210140386","display_name":"PLA Navy General Hospital","ror":"https://ror.org/036dyz052","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140386"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxin An","raw_affiliation_strings":["Beijing Bureau of Naval General Armaments Department, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Bureau of Naval General Armaments Department, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210140386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100343533","https://openalex.org/A5101765011"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":0.3734,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63412933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"35","issue":"02","first_page":"2150006","last_page":"2150006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9739000201225281,"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":0.9739000201225281,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9473999738693237,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9437999725341797,"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/residual","display_name":"Residual","score":0.8068600296974182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7387715578079224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6871785521507263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6793314218521118},{"id":"https://openalex.org/keywords/synthetic-aperture-sonar","display_name":"Synthetic aperture sonar","score":0.6209008693695068},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.577316403388977},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5397328734397888},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5216115713119507},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5153019428253174},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.48136597871780396},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47397011518478394},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4556879699230194},{"id":"https://openalex.org/keywords/scan-line","display_name":"Scan line","score":0.4398075044155121},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.4120296239852905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40728944540023804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38536494970321655},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2870830297470093},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21628475189208984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18351829051971436},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.08340826630592346}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8068600296974182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7387715578079224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6871785521507263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793314218521118},{"id":"https://openalex.org/C181255713","wikidata":"https://www.wikidata.org/wiki/Q7662740","display_name":"Synthetic aperture sonar","level":3,"score":0.6209008693695068},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.577316403388977},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5397328734397888},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5216115713119507},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5153019428253174},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.48136597871780396},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47397011518478394},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4556879699230194},{"id":"https://openalex.org/C142748172","wikidata":"https://www.wikidata.org/wiki/Q3240002","display_name":"Scan line","level":4,"score":0.4398075044155121},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.4120296239852905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40728944540023804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38536494970321655},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2870830297470093},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21628475189208984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18351829051971436},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.08340826630592346},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001421500063","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421500063","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1966998796","https://openalex.org/W2153589635","https://openalex.org/W2731046646","https://openalex.org/W2947332177","https://openalex.org/W2947503818","https://openalex.org/W2993035999"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2373164917","https://openalex.org/W2140201873"],"abstract_inverted_index":{"In":[0,29],"synthetic":[1],"aperture":[2],"sonar":[3,151],"(SAS)":[4],"image,":[5],"the":[6,22,35,38,42,49,54,61,70,77,85,90,94,98,103,129,135],"underwater":[7],"shipwreck":[8,106,136],"targets":[9,107],"are":[10,108,122],"often":[11],"buried":[12,40],"by":[13],"sediment":[14],"or":[15],"badly":[16],"damaged.":[17],"Only":[18],"a":[19,114],"part":[20],"of":[21,24,37,64,93,100,105,117],"characteristics":[23],"artificial":[25,65],"objects":[26],"is":[27,45,67,81],"retained.":[28],"this":[30],"paper,":[31],"firstly,":[32],"based":[33,138],"on":[34,139],"analysis":[36],"ocean":[39],"background,":[41],"Meanshift":[43],"filtering":[44],"used":[46],"to":[47,83],"smooth":[48],"original":[50],"image":[51,56,152],"and":[52,88,111],"convert":[53],"color":[55],"into":[57],"binary":[58],"one.":[59],"Secondly,":[60],"residual":[62,140],"contour":[63,141],"target":[66,137],"extracted":[68],"through":[69],"modified":[71],"Canny":[72],"edge":[73,92],"detection":[74],"algorithm.":[75],"Thirdly,":[76],"Region":[78],"Growing":[79],"method":[80],"taken":[82],"remove":[84],"discrete":[86],"interference":[87],"keep":[89],"intact":[91],"line.":[95],"Consideration":[96],"with":[97,144],"principle":[99],"line":[101],"alignment,":[102],"contours":[104],"gradually":[109],"connected":[110],"aggregated.":[112],"Finally,":[113],"large":[115,149],"amount":[116],"measured":[118],"practical":[119],"SAS":[120],"images":[121],"tested.":[123],"The":[124],"experimental":[125],"results":[126],"verified":[127],"that":[128],"proposed":[130],"algorithm":[131],"can":[132],"accurately":[133],"detect":[134],"information,":[142],"meanwhile":[143],"an":[145],"acceptable":[146],"timeliness":[147],"for":[148],"size":[150],"data.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
