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http://dx.doi.org/10.3744/SNAK.2022.59.2.118

Noise Removal of Radar Image Using Image Inpainting  

Jeon, Dongmin (Department of Naval Architecture and Ocean Engineering, Pusan National University)
Oh, Sang-jin (Department of Naval Architecture and Ocean Engineering, Pusan National University)
Lim, Chaeog (Department of Naval Architecture and Ocean Engineering, Pusan National University)
Shin, Sung-chul (Department of Naval Architecture and Ocean Engineering, Pusan National University)
Publication Information
Journal of the Society of Naval Architects of Korea / v.59, no.2, 2022 , pp. 118-124 More about this Journal
Abstract
Marine environment analysis and ship motion prediction during ship navigation are important technologies for safe and economical operation of autonomous ships. As a marine environment analysis technology, there is a method of analyzing waves by measuring the sea states through images acquired based on radar(radio detection and ranging) signal. However, in the process of deriving marine environment information from radar images, noises generated by external factors are included, limiting the interpretation of the marine environment. Therefore, image processing for noise removal is required. In this study, image inpainting by partial convolutional neural network model is proposed as a method to remove noises and reconstruct radar images.
Keywords
Image inpainting; Radar image; Partial convolutional neural network;
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