{"id":"https://openalex.org/W4205289332","doi":"https://doi.org/10.1109/lgrs.2022.3141057","title":"Adaptive Wavelet Threshold Denoising for Bathymetric Laser Full-Waveforms With Weak Bottom Returns","display_name":"Adaptive Wavelet Threshold Denoising for Bathymetric Laser Full-Waveforms With Weak Bottom Returns","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205289332","doi":"https://doi.org/10.1109/lgrs.2022.3141057"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3141057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3141057","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/A5002869738","display_name":"Xinglei Zhao","orcid":"https://orcid.org/0000-0001-8396-4419"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglei Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019;an, China","an, China","College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019"],"raw_orcid":"https://orcid.org/0000-0001-8396-4419","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019;an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709476","display_name":"Hui Xia","orcid":"https://orcid.org/0000-0001-8012-0333"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xia","raw_affiliation_strings":["College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019;an, China","College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019;an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University, Tai&#x2019","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018332007","display_name":"Jianhu Zhao","orcid":"https://orcid.org/0000-0003-3796-8405"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhu Zhao","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3796-8405","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110235999","display_name":"Fengnian Zhou","orcid":"https://orcid.org/0009-0007-0940-756X"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengnian Zhou","raw_affiliation_strings":["Survey Bureau of Hydrology and Water Resources of Yangtze Estuary, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Survey Bureau of Hydrology and Water Resources of Yangtze Estuary, Shanghai, China","institution_ids":["https://openalex.org/I4210099662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7815,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.892259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9980999827384949,"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":0.9980999827384949,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7492880821228027},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6836203932762146},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6096571683883667},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5800496339797974},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5756553411483765},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5700819492340088},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.49060454964637756},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.49043580889701843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4769239127635956},{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.4744105041027069},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4138588309288025},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.330883651971817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3121320307254791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30571475625038147},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20033377408981323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18519550561904907},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1741166114807129},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11993274092674255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08730587363243103}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7492880821228027},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6836203932762146},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6096571683883667},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5800496339797974},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5756553411483765},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5700819492340088},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.49060454964637756},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.49043580889701843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4769239127635956},{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.4744105041027069},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4138588309288025},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.330883651971817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3121320307254791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30571475625038147},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20033377408981323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18519550561904907},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1741166114807129},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11993274092674255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08730587363243103},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3141057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3141057","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,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G5837867833","display_name":null,"funder_award_id":"41906166","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":18,"referenced_works":["https://openalex.org/W190125964","https://openalex.org/W191129667","https://openalex.org/W1964809923","https://openalex.org/W1991108537","https://openalex.org/W2079724595","https://openalex.org/W2394657907","https://openalex.org/W2412205031","https://openalex.org/W2416739439","https://openalex.org/W2475005008","https://openalex.org/W2612401942","https://openalex.org/W2789481028","https://openalex.org/W2982248235","https://openalex.org/W3106841851","https://openalex.org/W3164687847","https://openalex.org/W3199620939","https://openalex.org/W6607843651","https://openalex.org/W6678394764","https://openalex.org/W6803155117"],"related_works":["https://openalex.org/W2020347729","https://openalex.org/W2909166162","https://openalex.org/W2092795029","https://openalex.org/W2991604863","https://openalex.org/W2377234638","https://openalex.org/W3121453921","https://openalex.org/W2792367698","https://openalex.org/W2410584994","https://openalex.org/W2547474982","https://openalex.org/W4205289332"],"abstract_inverted_index":{"Wavelet":[0],"threshold":[1,5,22,65,81],"denoising":[2,25],"with":[3,55,120],"different":[4,56],"selection":[6,66],"rules":[7],"(TSRs)":[8],"were":[9],"used":[10,23],"to":[11,70,97,143],"reduce":[12,98],"random":[13],"noise":[14],"(RN)":[15],"in":[16,28,101],"bathymetric":[17,51],"laser":[18,104],"full-waveforms.":[19],"A":[20,44],"nonreasonable":[21],"for":[24,49,82],"can":[26,150],"result":[27],"over-smoothing":[29],"or":[30,58],"under-smoothing":[31],"of":[32,39,53,74,89,129,162],"the":[33,72,87,99,124,127,144,153,156,160],"signal":[34],"and":[35,46,112,134,158],"easily":[36],"remove":[37,152],"details":[38],"weak":[40,163],"bottom":[41],"return":[42],"(BR).":[43],"unique":[45],"optimal":[47],"TSR":[48],"all":[50],"full-waveforms":[52,105],"waters":[54],"depths":[57],"turbidities":[59],"is":[60,68,95],"unavailable.":[61],"Hence,":[62],"an":[63],"adaptive":[64],"(ATS)":[67],"proposed":[69,93],"improve":[71],"performance":[73],"RN":[75,100,146],"reduction":[76],"by":[77,132],"adaptively":[78],"selecting":[79],"a":[80,136],"each":[83],"full-waveform":[84],"based":[85],"on":[86],"prominence":[88],"BR-to-noise":[90],"ratio.":[91],"The":[92],"method":[94],"applied":[96],"raw":[102],"green":[103],"collected":[106],"via":[107],"Optech":[108],"coastal":[109],"zone":[110],"mapping":[111],"imaging":[113],"LIght":[114],"Detection":[115],"And":[116],"Ranging":[117],"(LiDAR).":[118],"Compared":[119],"other":[121],"traditional":[122],"methods,":[123],"ATS":[125,149],"improves":[126],"ratio":[128],"detectable":[130],"BR":[131],"5.64&#x0025;":[133],"achieves":[135],"root":[137],"mean":[138],"squared":[139],"error":[140],"(RMSE)":[141],"closer":[142],"real":[145],"level.":[147],"Therefore,":[148],"effectively":[151],"RN,":[154],"enhance":[155],"prominence,":[157],"ensure":[159],"fidelity":[161],"BR.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
