The application of data fusion method in the analysis of ocean and meteorology observation data
Wei Wang, Zhijie Liu, Zhao Yue, Gong Xiao Qing · International Journal of Hydrology · 2019
Data fusion is a new technology of data processing for multi source ocean meteorology data In order to clearly understand how to apply this technology in the data processing of ocean meteorology observation the author first divides the fusion methods into three categories i e pixel level fusion feature level fusion and decision making level fusion Then the corresponding methods of each data fusion are discussed in detail Afterward the SST fusion data from China Meteorological administrative is analyzed in order to explain that the fusion data is applied in numerical forecast model on the China rsquo s Bohai sea region Finally the authors believe that the data fusion technology of multi source observation data has a good application value when the observation data is processed into grid data of ocean meteorology which can be used as the grid truth value of numerical model inspection In addition the fusion technology at decision making level can also develop with the intelligent technology and deeply mine the application of data fusion technology to the ocean meteorology observation data