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Ho Seuk Bae

As seen in: MDPI
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Articles

Effect of Seabed Type on Image Segmentation of an Underwater Object Obtained from a Side Scan Sonar Using a Deep Learning Approach

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By Ho Seuk Bae, Jungyong Park, Ho Seuk
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Imaging of Artificial Bubble Distribution Using a Multi-Sonar Array System

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By Ho Seuk Bae, Won-Ki Kim, Su-Uk Son, Joung-Soo Park
| MDPI
Abstract : Bubble clusters present in seawater can cause acoustic interference and acoustic signal distortion during marine exploration. However, this interference can also be used as an acoustic masking technique, which has significant implications for military purposes. Therefore, characterizing the distribution of bubble clusters in water would allow for the development of anti-detection technologies.
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