New method of mussel survey by using high-resolution acoustic video camera-ARIS and deep learning

Author:

Zhao Fan1,Mizuno Katsunori1,Tabeta Shigeru1,Asayama Takato2,Hayami Hiroki2,Fujimoto Yasufumi2,Shimada Tetsuo2

Affiliation:

1. The University of Tokyo,Graduate School of Frontier Sciences,Kashiwa,Japan

2. The Miyagi Prefectural Izunuma-Uchinuma Environmental Foundation,Kurihara,Japan

Publisher

IEEE

Reference11 articles.

1. Cost?effective seafloor habitat mapping using a portable speedy sea scanner and deep?learning?based segmentation: A sea trial at Pujada Bay, Philippines;terayama;Methods in Ecology and Evolution,2021

2. Status of the freshwater mussel (Unionidae) communities of the mainstem of the Leon River, Texas

3. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy,2020

4. Application of a high-resolution acoustic video camera to fish classification: An experimental study

5. Accuracy enhancement of high-resolution acoustic mosaic images using positioning and navigating data

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