JSAI2018

Presentation information

Oral presentation

Organized Session » [Organized Session] OS-11

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

Tue. Jun 5, 2018 3:20 PM - 4:40 PM Room B (4F Moon Light)

3:40 PM - 4:00 PM

[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.