{"id":"https://openalex.org/W4327521275","doi":"https://doi.org/10.1145/3573428.3573494","title":"Sonar Pulse Detection and Recognition Based on Deep Denoising","display_name":"Sonar Pulse Detection and Recognition Based on Deep Denoising","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521275","doi":"https://doi.org/10.1145/3573428.3573494"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-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/A5019182062","display_name":"Yaping Yin","orcid":"https://orcid.org/0000-0003-1732-9200"},"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":"Yaping Yin","raw_affiliation_strings":["Naval Submarine Academy, China"],"raw_orcid":"https://orcid.org/0000-0003-1732-9200","affiliations":[{"raw_affiliation_string":"Naval Submarine Academy, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055667422","display_name":"Jiaxing Qiu","orcid":"https://orcid.org/0000-0003-0223-3994"},"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":"Jiaxing Qiu","raw_affiliation_strings":["Naval Submarine Academy, China"],"raw_orcid":"https://orcid.org/0000-0003-0223-3994","affiliations":[{"raw_affiliation_string":"Naval Submarine Academy, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011412585","display_name":"Shilin Sun","orcid":"https://orcid.org/0000-0001-5710-4618"},"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":"Shilin Sun","raw_affiliation_strings":["Naval Submarine Academy, China"],"raw_orcid":"https://orcid.org/0000-0001-5710-4618","affiliations":[{"raw_affiliation_string":"Naval Submarine Academy, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044006544","display_name":"Leilei Zhou","orcid":"https://orcid.org/0000-0002-7921-302X"},"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":"Leilei Zhou","raw_affiliation_strings":["Naval Submarine Academy, China"],"raw_orcid":"https://orcid.org/0000-0002-7921-302X","affiliations":[{"raw_affiliation_string":"Naval Submarine Academy, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045951522","display_name":"Haitao Li","orcid":"https://orcid.org/0000-0002-9169-7821"},"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":"Haitao Li","raw_affiliation_strings":["Naval Submarine Academy, China"],"raw_orcid":"https://orcid.org/0000-0002-9169-7821","affiliations":[{"raw_affiliation_string":"Naval Submarine Academy, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019182062"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15941394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9962999820709229,"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":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6885271072387695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858800053596497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6633188724517822},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6608438491821289},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5743884444236755},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5221962332725525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4572463035583496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43467313051223755},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43191012740135193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2135409712791443}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6885271072387695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858800053596497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6633188724517822},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6608438491821289},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5743884444236755},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5221962332725525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4572463035583496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43467313051223755},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43191012740135193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2135409712791443},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2516616494","https://openalex.org/W2766049824","https://openalex.org/W4212922222"],"related_works":["https://openalex.org/W3199220297","https://openalex.org/W2137769200","https://openalex.org/W2070821970","https://openalex.org/W2032962400","https://openalex.org/W2952608638","https://openalex.org/W2121862391","https://openalex.org/W2183388676","https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W383418545"],"abstract_inverted_index":{"In":[0,104],"view":[1],"of":[2,6,17,22,46,50,64,70,81,95,99,129,157,166,190,199,212],"the":[3,7,35,39,47,61,68,74,82,93,96,100,105,107,115,127,130,136,146,158,167,177,186,188,191,197,200,205,210,216],"slow":[4],"convergence":[5,94],"typical":[8],"denoising":[9,30,55,89,124,133,193,213],"network,":[10,84],"which":[11,85,184],"is":[12,181],"prone":[13],"to":[14,113],"excessive":[15],"smoothing":[16],"images":[18,120],"and":[19,38,52,58,66,91,122,125,151,175,209],"insufficient":[20],"recovery":[21],"detailed":[23],"features,":[24],"this":[25],"paper":[26],"proposed":[27,131,187],"a":[28],"deep":[29,132,192],"network":[31,37,109,134,194],"architecture":[32],"based":[33],"on":[34],"auto-encoder":[36,83],"generative":[40,101],"adversarial":[41,48,102],"network.":[42,103],"That":[43],"took":[44],"advantage":[45],"learning":[49],"generators":[51],"discriminators,":[53],"making":[54],"results":[56,142],"sharper":[57],"clearer,":[59],"improving":[60,196],"over-smoothing":[62],"issue":[63],"images,":[65],"enhancing":[67],"restoration":[69],"specific":[71],"information.":[72],"Meanwhile,":[73],"residual":[75],"structure":[76],"was":[77,110],"introduced":[78],"into":[79],"encoders":[80],"further":[86],"augmented":[87],"their":[88],"capacity":[90],"accelerated":[92],"loss":[97],"function":[98],"end,":[106],"YOLOv3":[108],"respectively":[111],"employed":[112],"detect":[114],"sonar":[116,137,170,206,217],"pulse":[117,138,171,207,218],"power":[118,147,172,201],"spectrum":[119,173,202],"before":[121],"after":[123],"analyze":[126],"performance":[128],"in":[135,195,215],"detection.":[139,219],"The":[140],"experimental":[141],"manifest":[143],"that":[144,176],"both":[145],"signal-to-noise":[148],"ratio":[149],"(PSNR)":[150],"structural":[152],"similarity":[153],"index":[154],"measure":[155],"(SSIM)":[156],"denoised":[159],"image":[160,174,203],"are":[161],"improved,":[162],"compared":[163],"with":[164],"those":[165],"low":[168],"signal-noise":[169],"target":[178],"detection":[179],"accuracy":[180],"remarkably":[182],"lifted,":[183],"proves":[185],"effectiveness":[189],"quality":[198],"about":[204],"signal,":[208],"significance":[211],"process":[214]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}