Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning
書誌事項
- 公開日
- 2020-06
- 資源種別
- journal article
- 権利情報
-
- https://www.elsevier.com/tdm/userlicense/1.0/
- https://www.elsevier.com/legal/tdmrep-license
- http://www.elsevier.com/open-access/userlicense/1.0/
- DOI
-
- 10.1016/j.marpolbul.2020.111127
- 公開者
- Elsevier BV
この論文をさがす
説明
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 of5%. 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.
収録刊行物
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- Marine Pollution Bulletin
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Marine Pollution Bulletin 155 111127-, 2020-06
Elsevier BV