| abstract |
The invention discloses a spatiotemporal missing data completion method, device and medium based on multi-view learning. The method is aimed at massive and multi-type environmental monitoring data sets. , monitor the three-dimensional data tensors of parameters, and decompose three mixed view matrices, use the matrix complete algorithm to estimate the missing data from the local and global scales for the three mixed views constructed, and then perform multi-level based on artificial deep neural network. View learning to obtain the estimation results of the missing values of the final monitoring parameters. The invention can realize the completion of missing values of the environmental monitoring data set, and has important significance in the fields of marine environmental monitoring, smart city development and the like. |