[1B2-OS-11b] [Organized Session] OS-11

[1B2-OS-11b-02] Verification of Fish Species Estimation Model Based on Echo Sounder Image

〇Yudai Hirama¹, Soichiro Yokoyama¹, Tomohisa Yamashita¹, Hidenori Kawamura¹, Keiji Suzuki², Masaaki Wada² (1. Hokkaido University, 2. Future University Hakodate)

Keywords:Sonar Image, Convolutional Neural Network, Set-Net

The overfishing and depletion of marine resources including tuna have become problems in Japan. Managing to marine resource is necessary to increase catch amount. However, set-net is difficult to separate fish speceis. Therefore, this research used a sonar image obtained by an echo sounder installed in a set-net. We verify of fish species estimation model based on echo sounder image.