TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION
Oil spills over the sea resulted in the destruction of the marine environment. Therefore, the Bayesian algorithm was developed to determine the source of spilled oil for reducing the damage to the marine environment. Based on the flow data of the offshore waters of the Bohai Sea, the influencing fac...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-02-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/133/2020/isprs-archives-XLII-3-W10-133-2020.pdf |
| _version_ | 1811323923587923968 |
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| author | D. Huang D. Huang Y. Zhang Y. Zhang W. Q. Yu W. Q. Yu |
| author_facet | D. Huang D. Huang Y. Zhang Y. Zhang W. Q. Yu W. Q. Yu |
| author_sort | D. Huang |
| collection | DOAJ |
| description | Oil spills over the sea resulted in the destruction of the marine environment. Therefore, the Bayesian algorithm was developed to determine the source of spilled oil for reducing the damage to the marine environment. Based on the flow data of the offshore waters of the Bohai Sea, the influencing factors of oil spill drift were used for algorithm. The main factors affecting the traceability of marine oil spills are considered: the distance from the oil point to the source point, the flow direction of water, the type of the spilled oil source, and the scale of the source. The algorithm is completed on the basis of a feasible simulation database. We not consider the relationship between the attributes by naive Bayesian classification. In this paper, we determine the result by the minimum error rates of each source. Then the performance evaluation of the model was done by cross-validation method. The experimental result shows that the Bayesian algorithm can be used to determine the source of spilled oil. It is easier and faster to determine the source by the method raised. |
| first_indexed | 2024-04-13T14:05:11Z |
| format | Article |
| id | doaj.art-255841eae77b4df58ef7a1681cb9d05b |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T14:05:11Z |
| publishDate | 2020-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-255841eae77b4df58ef7a1681cb9d05b2022-12-22T02:43:56ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-02-01XLII-3-W1013314010.5194/isprs-archives-XLII-3-W10-133-2020TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATIOND. Huang0D. Huang1Y. Zhang2Y. Zhang3W. Q. Yu4W. Q. Yu5College of Geomatics, Shandong University of Science and Technology, Qingdao, ChinaThe Key Lab of Surveying and Mapping Technology on Island and Reef, Ministry of Natural Resources, ChinaCollege of Geomatics, Shandong University of Science and Technology, Qingdao, ChinaThe Key Lab of Surveying and Mapping Technology on Island and Reef, Ministry of Natural Resources, ChinaCollege of Geomatics, Shandong University of Science and Technology, Qingdao, ChinaThe Key Lab of Surveying and Mapping Technology on Island and Reef, Ministry of Natural Resources, ChinaOil spills over the sea resulted in the destruction of the marine environment. Therefore, the Bayesian algorithm was developed to determine the source of spilled oil for reducing the damage to the marine environment. Based on the flow data of the offshore waters of the Bohai Sea, the influencing factors of oil spill drift were used for algorithm. The main factors affecting the traceability of marine oil spills are considered: the distance from the oil point to the source point, the flow direction of water, the type of the spilled oil source, and the scale of the source. The algorithm is completed on the basis of a feasible simulation database. We not consider the relationship between the attributes by naive Bayesian classification. In this paper, we determine the result by the minimum error rates of each source. Then the performance evaluation of the model was done by cross-validation method. The experimental result shows that the Bayesian algorithm can be used to determine the source of spilled oil. It is easier and faster to determine the source by the method raised.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/133/2020/isprs-archives-XLII-3-W10-133-2020.pdf |
| spellingShingle | D. Huang D. Huang Y. Zhang Y. Zhang W. Q. Yu W. Q. Yu TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION |
| title_full | TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION |
| title_fullStr | TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION |
| title_full_unstemmed | TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION |
| title_short | TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION |
| title_sort | traceability of oil spill from bayesian classification |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/133/2020/isprs-archives-XLII-3-W10-133-2020.pdf |
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