Intelligent Image Monitoring Technology of Marine Environmental Pollution Information
Chen, H.; Li, W., and Xie, X., 2020. Intelligent image monitoring technology of marine environmental pollution information. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue N...
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| Veröffentlicht in: | Journal of coastal research Jg. 112; H. sp1; S. 1 - 4 |
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| Sprache: | Englisch |
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Fort Lauderdale
Coastal Education and Research Foundation
01.09.2020
Allen Press Publishing Allen Press Inc |
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| ISSN: | 0749-0208, 1551-5036 |
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| Abstract | Chen, H.; Li, W., and Xie, X., 2020. Intelligent image monitoring technology of marine environmental pollution information. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 1-4. Coconut Creek (Florida), ISSN 0749-0208. With the increasing shortage of land resources, countries around the world gradually develop and use marine resources. Therefore, the marine economy has gradually become an important pillar of our national economy, which will gradually expand the scale of marine resources development. With the increase of sea related projects, the probability of marine environmental pollution events is increasing, which has seriously affected the marine ecological environment. Therefore, we need to monitor the degree of marine pollution, which can better protect the marine environment. There are many problems in traditional marine environmental pollution monitoring technology, such as short monitoring range, low monitoring accuracy, long monitoring time, etc., which cannot meet the development needs of modern industrial technology. Based on the digital remote sensing technology, this paper establishes the intelligent image monitoring technology of marine environmental pollution information, which can monitor the marine water quality in multiple dimensions. Through big data analysis, we can calculate and process the collected data, which will better complete the monitoring and analysis of marine environmental pollution. Through the intelligent image monitoring technology, we can achieve the full coverage of high-precision marine pollution monitoring, which will improve the information of marine environmental pollution samples. |
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| AbstractList | Chen, H.; Li, W., and Xie, X., 2020. Intelligent image monitoring technology of marine environmental pollution information. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 1-4. Coconut Creek (Florida), ISSN 0749-0208.With the increasing shortage of land resources, countries around the world gradually develop and use marine resources. Therefore, the marine economy has gradually become an important pillar of our national economy, which will gradually expand the scale of marine resources development. With the increase of sea related projects, the probability of marine environmental pollution events is increasing, which has seriously affected the marine ecological environment. Therefore, we need to monitor the degree of marine pollution, which can better protect the marine environment. There are many problems in traditional marine environmental pollution monitoring technology, such as short monitoring range, low monitoring accuracy, long monitoring time, etc., which cannot meet the development needs of modern industrial technology. Based on the digital remote sensing technology, this paper establishes the intelligent image monitoring technology of marine environmental pollution information, which can monitor the marine water quality in multiple dimensions. Through big data analysis, we can calculate and process the collected data, which will better complete the monitoring and analysis of marine environmental pollution. Through the intelligent image monitoring technology, we can achieve the full coverage of high-precision marine pollution monitoring, which will improve the information of marine environmental pollution samples. With the increasing shortage of land resources, countries around the world gradually develop and use marine resources. Therefore, the marine economy has gradually become an important pillar of our national economy, which will gradually expand the scale of marine resources development. With the increase of sea related projects, the probability of marine environmental pollution events is increasing, which has seriously affected the marine ecological environment. Therefore, we need to monitor the degree of marine pollution, which can better protect the marine environment. There are many problems in traditional marine environmental pollution monitoring technology, such as short monitoring range, low monitoring accuracy, long monitoring time, etc., which cannot meet the development needs of modern industrial technology. Based on the digital remote sensing technology, this paper establishes the intelligent image monitoring technology of marine environmental pollution information, which can monitor the marine water quality in multiple dimensions. Through big data analysis, we can calculate and process the collected data, which will better complete the monitoring and analysis of marine environmental pollution. Through the intelligent image monitoring technology, we can achieve the full coverage of high-precision marine pollution monitoring, which will improve the information of marine environmental pollution samples. |
| Author | Li, Wenpan Chen, He Xie, Xin |
| Author_xml | – sequence: 1 givenname: He surname: Chen fullname: Chen, He organization: Beijing Normal University School of Environment Beijing 100875, China – sequence: 2 givenname: Wenpan surname: Li fullname: Li, Wenpan organization: China National Environmental Monitoring Centre Beijing 100012, China – sequence: 3 givenname: Xin surname: Xie fullname: Xie, Xin organization: China National Environmental Monitoring Centre Beijing 100012, China |
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| Copyright | Coastal Education and Research Foundation, Inc. 2020 Copyright Allen Press Inc. Fall 2020 |
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| SubjectTerms | Big Data COASTAL ENVIRONMENTS AND SUSTAINABLE DEVELOPMENT Coastal inlets Coastal research Coastal zone Data analysis Data collection Digital imaging Dimensions Economics Industrial applications intelligent image monitoring Keywords marine environmental pollution Land resources Marine ecology Marine environment Marine pollution Marine resources Marine technology Monitoring multilayer analysis technology Pollution monitoring Probability theory Remote sensing RESEARCH ARTICLES: COASTAL ENVIRONMENTS AND SUSTAINABLE DEVELOPMENT Resource development Sea pollution Sustainable development Water quality |
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