Automatic Noise Removal of Multibeam Echo Sounders (MBES) Point Cloud Data: Feasibility Study Using Sparse Coding

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Publication Details

Journal
Geoinformatics
Published
2025-09-24
DOI
https://doi.org/10.6010/geoinformaticsx.36.3_65
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic Noise Removal of Multibeam Echo Sounders (MBES) Point Cloud Data: Feasibility Study Using Sparse Coding

Toshiaki Ueki, Oak Yono, Tatsu Kuwatani, Eiichi Kikawa et al.
Geoinformatics
Speech and Audio Processing
article

Automatic Noise Removal of Multibeam Echo Sounders (MBES) Point Cloud Data: Feasibility Study Using Sparse Coding

Toshiaki Ueki, Oak Yono, Tatsu Kuwatani, Eiichi Kikawa, Satoshi OKAWARA
article en

Abstract

No abstract available for this paper.
GeoinformaticsVol. 36(3)
Japan Agency for Marine-Earth Science and Technology (JP), Institute for Development and Economic Analysis (ID)
Openalex Percentile: Top 68%
Speech and Audio Processing
DOISourceOpenAlex
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Automatic Noise Removal of Multibeam Echo Sounders (MBES) Point Cloud Data: Feasibility Study Using Sparse Coding — Toshiaki Ueki, Oak Yono, et al. · Geoinformatics (2025) | TGRS Research Map | TGRS