{"id":"https://openalex.org/W4391307877","doi":"https://doi.org/10.1109/icspcc59353.2023.10400317","title":"A Study on Sonar Image Recognition based on Realistic Semi-Supervised Learning","display_name":"A Study on Sonar Image Recognition based on Realistic Semi-Supervised Learning","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4391307877","doi":"https://doi.org/10.1109/icspcc59353.2023.10400317"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc59353.2023.10400317","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icspcc59353.2023.10400317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5113106768","display_name":"Sichen Lv","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":"Sichen Lv","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100637195","display_name":"Hong Liang","orcid":"https://orcid.org/0000-0001-5960-2549"},"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":"Hong Liang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University,Xi&#x0027;an,China,710072","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":0.32557377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.8343999981880188,"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":0.8343999981880188,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.021199999377131462,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.7762570977210999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7452432513237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6139119267463684},{"id":"https://openalex.org/keywords/synthetic-aperture-sonar","display_name":"Synthetic aperture sonar","score":0.5208166837692261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5044604539871216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46435120701789856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4359205365180969}],"concepts":[{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.7762570977210999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452432513237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6139119267463684},{"id":"https://openalex.org/C181255713","wikidata":"https://www.wikidata.org/wiki/Q7662740","display_name":"Synthetic aperture sonar","level":3,"score":0.5208166837692261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5044604539871216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46435120701789856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4359205365180969}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc59353.2023.10400317","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icspcc59353.2023.10400317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4345231623","display_name":"\u5c0f\u6837\u672c\u4e0b\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u589e\u91cf\u5f0f\u58f0\u5450\u56fe\u50cf\u81ea\u52a8\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971354","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":6,"referenced_works":["https://openalex.org/W2033098034","https://openalex.org/W2990604239","https://openalex.org/W4214687390","https://openalex.org/W4292828882","https://openalex.org/W4312297403","https://openalex.org/W4312529715"],"related_works":["https://openalex.org/W2610363864","https://openalex.org/W2159784633","https://openalex.org/W2143131560","https://openalex.org/W2544250077","https://openalex.org/W3093449225","https://openalex.org/W1987798457","https://openalex.org/W3022543425","https://openalex.org/W3197313368","https://openalex.org/W1974561532","https://openalex.org/W2134159182"],"abstract_inverted_index":{"The":[0,132],"majority":[1],"of":[2,28,67,74,117],"existing":[3],"work":[4],"on":[5,10,51,85,128,143],"sonar":[6,29,55,68,75,102,120,147],"image":[7,30,76,148],"recognition":[8,31,47,90,140],"focuses":[9],"closed":[11],"set,":[12],"where":[13],"system":[14],"tends":[15],"to":[16,37,54,63,77,109],"make":[17],"incorrect":[18],"classifications":[19],"when":[20],"encountering":[21],"unknown":[22],"underwater":[23],"targets.":[24],"Therefore,":[25],"the":[26,59,65,79,86,89,97,101,111,115,125],"problem":[27],"in":[32,100],"open":[33,45,138],"world":[34,46,139],"scenario":[35],"needs":[36],"be":[38],"addressed.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,70],"apply":[44],"algorithm":[48,141],"architecture":[49],"based":[50,142],"self-supervised":[52],"learning":[53,112,145],"image.":[56],"After":[57],"improving":[58],"feature":[60],"extraction":[61],"network":[62,91],"accommodate":[64],"characteristics":[66],"image,":[69],"use":[71],"three":[72,87,119],"datasets":[73,121],"validate":[78],"approach.":[80],"By":[81],"performing":[82],"augmentation":[83],"operations":[84],"datasets,":[88],"generates":[92],"class":[93],"distribution-aware":[94],"pseudo-labels":[95,105],"for":[96,146],"unlabeled":[98],"data":[99],"datasets.":[103,131],"These":[104],"are":[106],"then":[107],"used":[108],"supervise":[110],"process.":[113],"Ultimately,":[114],"accuracy":[116,126],"all":[118],"exceeded":[122],"84%,":[123],"surpassing":[124],"achieved":[127],"most":[129],"fine-grained":[130],"result":[133],"validates":[134],"that":[135],"our":[136],"improved":[137],"semi-supervised":[144],"is":[149],"effective.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
