Image-Based Monitoring of Jellyfish Using Deep Learning Architecture

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Jellyfish blooms have caused great damage to the fishery industry. In efforts to solve this problem, various systems to remove jellyfish have been proposed. This letter presents preliminary results of applying an image-based jellyfish distribution recognition algorithm to increase the efficiency of an existing jellyfish removal system. By using a convolutional neural network and dedicated image processing techniques, the experimental results show reasonable performance for real-world application
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2016-04
Language
English
Article Type
Article
Citation

IEEE SENSORS JOURNAL, v.16, no.8, pp.2215 - 2216

ISSN
1530-437X
DOI
10.1109/JSEN.2016.2517823
URI
http://hdl.handle.net/10203/209550
Appears in Collection
EE-Journal Papers(저널논문)
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