OBSERVATION AND BEHAVOIR ANALYSIS OF FLOATING DEBRIS IN AN URBAN TIDAL RIVER BY USING A DEEP LEARNING MODEL
Author:
Affiliation:
1. 大阪大学 大学院工学研究科地球総合工学専攻
Publisher
Japan Society of Civil Engineers
Link
https://www.jstage.jst.go.jp/article/jscejj/80/16/80_23-16031/_pdf
Reference10 articles.
1. 1) Meijer, L. J. J., Emmerik, T. V., Ent, R. V. D., Schmidt, C. and Lebreton, L. : More than 1000 rivers account for 80 % of global riverine plastic emissions into the ocean, Science Advances, Vol. 7, No. 18, eaaz5803, 2021.
2. 2) 吉田拓司，藤山朋樹，片岡智哉，緒方陸，二瓶泰雄：IPカメラ連続観測と画像解析手法に基づく複数出水時の河川人工系ごみ輸送特性の比較，土木学会論文集 B1（水工学），Vol. 77，No. 2，pp. I_1003-I_1008，2021. [Yoshida, T., Fujiyama, T., Kataoka, T., Ogata, R. and Nihei, Y.: Comparison of anthropogenic debris flux in various floods with continuous monitoring of IP camera and image analysis, Journal of Japan Society of Civil Engineers, ser. B1 (Hydraulic engineering), Vol. 77, No. 2, pp. I_1003-I_1008, 2021.]
3. 3) 水田周作，高崎忠勝，河村明，天口英雄，石原成幸：定点カメラ画像を用いたニューラルネットワークによる都市河川のスカム自動判別，土木学会論文集 B1（水工学），Vol. 71，No. 4，pp. I_1231-I_1236，2015. [Mizuta, S., Takasaki, T., Kawamura, A., Amaguchi, H. and Ishihara, S.: Automatic distinction of scum in urban river by the neural network using fixed point camera image, Journal of Japan Society of Civil Engineers, ser. B1 (Hydraulic Engineering), Vol. 71, No. 4, pp. I_1231-I_1236, 2015.]
4. 4) 中谷祐介，懸樋洸大：U-Net を用いた河川スカム連続検出手法の改良，土木学会論文集 B1（水工学）, Vol. 77, No. 4, pp. I_895-I_900, 2021. [Nakatani, Y. and Kakehi, K.: An improved method for continuous detection of scum in rivers using U-Net, Journal of Japan Society of Civil Engineers, ser. B1 (Hydraulic Engineering), Vol. 77, No. 4, pp. I_895-I_900, 2021.]
5. 5) 安達智哉，懸樋洸大，中谷祐介：深層学習を用いた河川浮遊ごみ検出手法の開発と流出特性の解析，土木学会論文集 B1（水工学），Vol. 78，No. 2，pp. I_937-I_942, 2022. [Adachi, T., Kakehi, K. and Nakatani, Y.: Observation of floating debris in rivers using a deep learning model and analysis of runoff characteristics, Journal of Japan Society of Civil Engineers, ser. B1 (Hydraulic Engineering), Vol. 78, No. 2, pp. I_937-I_942, 2022.]
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