Significant wave height prediction from X-band marine radar images using deep learning with 3D convolutions
Ji-Woo Kwon,
Won-Du Chang,
Young Jun Yang
Abstract:This research introduces a deep learning method for ocean wave height estimation utilizing a Convolutional Neural Network (CNN) based on the VGGNet. The model is trained on a dataset comprising buoy wave heights and radar images, both critical for marine engineering. The dataset features X-band radar images sourced from Sokcho, Republic of Korea, spanning from June 1, 2021, to August 13, 2021. This collection amounts to 72,180 three-dimensional images, gathered at intervals of approximately 1.43 seconds. The d… Show more
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