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Intelligent Edge Monitoring Algorithm of Remote Sensing Images on Marine Environmental Pollution
- Source :
- Journal of Coastal Research. 112
- Publication Year :
- 2020
- Publisher :
- Coastal Education and Research Foundation, 2020.
-
Abstract
- Liu, G.; Ye, J.; Yang, X.; Chen, Y., and Gu, Y., 2020. Intelligent edge monitoring algorithm of remote sensing images on marine environmental pollution. 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. 429-432. Coconut Creek (Florida), ISSN 0749-0208.Although traditional marine environmental pollution monitoring technology can detect marine pollution, it has shortcomings such as short monitoring range, low monitoring accuracy, and long monitoring time. This paper proposes that by introducing intelligent digital remote sensing multi-layer analysis technology, multidimensional monitoring of marine water quality; using big data analysis method to calculate the collected data to complete marine environmental pollution monitoring and analysis. Experimental results show that improved image monitoring technology can achieve full coverage and high-precision marine pollution monitoring, and can extract marine environmental pollution sample information.
- Subjects :
- Sustainable development
Ecology
business.industry
Big data
Environmental pollution
Full coverage
Marine water quality
Marine pollution
Remote sensing (archaeology)
Environmental science
Enhanced Data Rates for GSM Evolution
business
Algorithm
Earth-Surface Processes
Water Science and Technology
Remote sensing
Subjects
Details
- ISSN :
- 07490208
- Volume :
- 112
- Database :
- OpenAIRE
- Journal :
- Journal of Coastal Research
- Accession number :
- edsair.doi...........8fcd307fd04570b98ca7a15bb8893bc7