Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data
Polymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed. How best to quickly and accurately identify polymetallic nodules is one of the key ques...
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| Format: | Article |
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MDPI AG
2024-02-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/12/2/333 |
| _version_ | 1827343397821612032 |
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| author | Kai Sun Ziyin Wu Mingwei Wang Jihong Shang Zhihao Liu Dineng Zhao Xiaowen Luo |
| author_facet | Kai Sun Ziyin Wu Mingwei Wang Jihong Shang Zhihao Liu Dineng Zhao Xiaowen Luo |
| author_sort | Kai Sun |
| collection | DOAJ |
| description | Polymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed. How best to quickly and accurately identify polymetallic nodules is one of the key questions of marine development and deep-sea-mineral-resource utilization. We propose a method that uses YOLOv5s as a reference network and integrates the IoU (Intersection over Union) and the Wasserstein distance in the optimal transmission theory to accurately identify different sizes of polymetallic nodules. Experiment using deep-sea hyperspectral data obtained from the Peru Basin was performed. The results showed that better recognition effects were achieved when the fusion ratio of overlap and Wasserstein distance metric was 0.5, and the accuracy of the proposed algorithm reached 84.5%, which was 6.2% higher than that of the original baseline network. In addition, the rest of the performance indexes were also improved significantly compared to traditional methods. |
| first_indexed | 2024-03-07T22:25:43Z |
| format | Article |
| id | doaj.art-6aa89392ead8474fb28ff036a89bf648 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-07T22:25:43Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-6aa89392ead8474fb28ff036a89bf6482024-02-23T15:23:20ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-02-0112233310.3390/jmse12020333Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral DataKai Sun0Ziyin Wu1Mingwei Wang2Jihong Shang3Zhihao Liu4Dineng Zhao5Xiaowen Luo6College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, ChinaKey Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources, 36 Baochubei Road, Hangzhou 310012, ChinaKey Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources, 36 Baochubei Road, Hangzhou 310012, ChinaKey Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources, 36 Baochubei Road, Hangzhou 310012, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, ChinaPolymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed. How best to quickly and accurately identify polymetallic nodules is one of the key questions of marine development and deep-sea-mineral-resource utilization. We propose a method that uses YOLOv5s as a reference network and integrates the IoU (Intersection over Union) and the Wasserstein distance in the optimal transmission theory to accurately identify different sizes of polymetallic nodules. Experiment using deep-sea hyperspectral data obtained from the Peru Basin was performed. The results showed that better recognition effects were achieved when the fusion ratio of overlap and Wasserstein distance metric was 0.5, and the accuracy of the proposed algorithm reached 84.5%, which was 6.2% higher than that of the original baseline network. In addition, the rest of the performance indexes were also improved significantly compared to traditional methods.https://www.mdpi.com/2077-1312/12/2/333deep-sea polymetallic nodulesYOLOv5intersection over uniontarget recognitionWasserstein distance |
| spellingShingle | Kai Sun Ziyin Wu Mingwei Wang Jihong Shang Zhihao Liu Dineng Zhao Xiaowen Luo Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data Journal of Marine Science and Engineering deep-sea polymetallic nodules YOLOv5 intersection over union target recognition Wasserstein distance |
| title | Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data |
| title_full | Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data |
| title_fullStr | Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data |
| title_full_unstemmed | Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data |
| title_short | Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data |
| title_sort | accurate identification method of small size polymetallic nodules based on seafloor hyperspectral data |
| topic | deep-sea polymetallic nodules YOLOv5 intersection over union target recognition Wasserstein distance |
| url | https://www.mdpi.com/2077-1312/12/2/333 |
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