{"id":"https://openalex.org/W2920355868","doi":"https://doi.org/10.1109/lgrs.2019.2895843","title":"Nonhomogeneous Noise Removal From Side-Scan Sonar Images Using Structural Sparsity","display_name":"Nonhomogeneous Noise Removal From Side-Scan Sonar Images Using Structural Sparsity","publication_year":2019,"publication_date":"2019-02-26","ids":{"openalex":"https://openalex.org/W2920355868","doi":"https://doi.org/10.1109/lgrs.2019.2895843","mag":"2920355868"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2895843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2895843","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","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/A5049665125","display_name":"Youngsaeng Jin","orcid":"https://orcid.org/0000-0002-5289-4419"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Youngsaeng Jin","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5289-4419","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058649200","display_name":"Bonhwa Ku","orcid":"https://orcid.org/0000-0001-7064-2074"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bonhwa Ku","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050816413","display_name":"Jae\u2010Kyun Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaekyun Ahn","raw_affiliation_strings":["Agency for Defense Development, Jinhae, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Defense Development, Jinhae, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743355","display_name":"Seongil Kim","orcid":"https://orcid.org/0009-0009-4708-6108"},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongil Kim","raw_affiliation_strings":["Agency for Defense Development, Jinhae, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Defense Development, Jinhae, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hanseok Ko","orcid":"https://orcid.org/0000-0002-6817-4846"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanseok Ko","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6817-4846","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049665125"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.8169,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.76555899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"8","first_page":"1215","last_page":"1219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/noise","display_name":"Noise (video)","score":0.7029121518135071},{"id":"https://openalex.org/keywords/side-scan-sonar","display_name":"Side-scan sonar","score":0.6655064821243286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307097673416138},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5970105528831482},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5477851629257202},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.5118231177330017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5116739273071289},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4925861954689026},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4913078844547272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44097208976745605},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4179390072822571},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.41456782817840576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36255520582199097},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.35144102573394775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30971404910087585},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.2735152840614319},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.12809821963310242},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.1223791241645813},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10492825508117676},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1010843813419342}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7029121518135071},{"id":"https://openalex.org/C2776355146","wikidata":"https://www.wikidata.org/wiki/Q357527","display_name":"Side-scan sonar","level":3,"score":0.6655064821243286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307097673416138},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5970105528831482},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5477851629257202},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.5118231177330017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5116739273071289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4925861954689026},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4913078844547272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44097208976745605},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4179390072822571},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.41456782817840576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36255520582199097},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.35144102573394775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30971404910087585},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.2735152840614319},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.12809821963310242},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.1223791241645813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10492825508117676},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1010843813419342},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2895843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2895843","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G4369566627","display_name":null,"funder_award_id":"UD160015DD","funder_id":"https://openalex.org/F4320323103","funder_display_name":"Agency for Defense Development"}],"funders":[{"id":"https://openalex.org/F4320323103","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2008357395","https://openalex.org/W2045079989","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2104266187","https://openalex.org/W2116022929","https://openalex.org/W2121452312","https://openalex.org/W2128728535","https://openalex.org/W2133665775","https://openalex.org/W2160547390","https://openalex.org/W2161160262","https://openalex.org/W2903970123","https://openalex.org/W2963998230","https://openalex.org/W6757002797","https://openalex.org/W7045329624"],"related_works":["https://openalex.org/W2289108895","https://openalex.org/W2365251829","https://openalex.org/W2041399278","https://openalex.org/W2543670224","https://openalex.org/W2186577434","https://openalex.org/W2336974148","https://openalex.org/W2023005931","https://openalex.org/W3190667789","https://openalex.org/W3033631740","https://openalex.org/W1542420082"],"abstract_inverted_index":{"The":[0,100,137],"image":[1,88],"quality":[2],"of":[3,26,36,148,151],"side-scan":[4],"sonar":[5],"(SSS)":[6],"is":[7,30,59,77,91,161],"determined":[8],"by":[9,61],"its":[10],"operating":[11,14],"frequency.":[12],"SSS":[13,67,98],"at":[15],"a":[16,34,54,85],"low":[17],"frequency":[18],"produces":[19],"low-quality":[20],"images":[21,68,74,132],"due":[22],"to":[23,48,79,93,115,130,166],"high":[24],"levels":[25],"noise.":[27,153],"This":[28],"noise":[29,41,76,96],"randomly":[31],"generated":[32],"from":[33,97],"number":[35],"different":[37],"sources,":[38],"including":[39],"equipment":[40],"and":[42,65,105,118,163],"underwater":[43],"environmental":[44],"interference.":[45],"In":[46,82],"addition,":[47],"compensate":[49],"for":[50],"transmission":[51],"loss":[52],"in":[53,108,113,140,146],"received":[55],"signal,":[56],"the":[57,109,141,149,152,158],"signal":[58],"amplified":[60],"time-varied":[62],"gain":[63],"correction,":[64],"consequently,":[66],"contain":[69],"nonhomogeneous":[70,95],"noise,":[71],"unlike":[72],"natural":[73,134],"whose":[75],"assumed":[78],"be":[80],"homogeneous.":[81],"this":[83],"letter,":[84],"structural":[86,110,123],"sparsity-based":[87],"denoising":[89],"algorithm":[90,101,160],"proposed":[92,159],"remove":[94],"images.":[99],"incorporates":[102],"both":[103],"local":[104],"nonlocal":[106,120,142],"models":[107],"features":[111,124],"domain":[112],"order":[114],"guarantee":[116],"sparsity":[117],"enhance":[119],"self-similarity.":[121],"Using":[122],"also":[125],"preserves":[126],"fine-scale":[127],"structures,":[128],"leading":[129],"denoised":[131],"with":[133],"seabed":[135],"textures.":[136],"patch":[138],"weights":[139],"model":[143],"are":[144],"corrected":[145],"consideration":[147],"nonhomogeneity":[150],"Experimental":[154],"results":[155],"show":[156],"that":[157],"qualitatively":[162],"quantitatively":[164],"comparable":[165],"conventional":[167],"algorithms.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
