Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning

MARINE POLLUTION BULLETIN

卷:155

Article

Kako, Shin'ichiro¹  Morita, Shohei¹  Taneda, Tetsuya² 

[1] Kagoshima Univ, Dept Ocean Civil Engn, Grad Sch Sci & Engn, Kagoshima, Japan

[2] Kagoshima Univ, Tech Support Div, Grad Sch Sci & Engn, Kagoshima, Japan

关键词: Plastic marine debris;    UAV;    Image processing;    Deep learning;   

DOI  :  10.1016/j.marpolbul.2020.111127

来源: Elsevier

【 摘 要 】

Plastic marine debris (PMD) is of global concern. To help address this problem, a novel approach for estimating PMD volumes using a combination of unmanned aerial vehicle (UAV) surveys and image processing based on deep learning is proposed. A three-dimensional model and orthoscopic image of a beach, constructed via Structure from Motion software using UAV-derived data, enabled PMD volumes to be computed by edge detection through image processing. The accuracy of the method was verified by estimating the volumes of test debris placed on a beach in known sizes and shapes. The proposed approach shows potential for estimating PMD volumes with an error of <5%. Compared with subjective methods based on beach surveys, this approach can accurately, rapidly, and objectively calculate the PMD volume on a beach and can be used to improve the efficiency of beach surveys and identify beaches that need preferential cleaning.

【 授权许可】

Free