Additionally we also employ Principle Component Analysis (PCA) dimension reduction to reduce the computation of each patch in the training phase. Finally, the results show us that the computation quantity of the sparse coding image SR is reduced efficiently. The SR time is 17.2s faster than the...
Firstly, EMAP algorithm is introduced to extract the morphological attribute profile features of the principal components extracted by PCA, and the EMAP feature map is used as the input of the network. Then, the spectral and spatial low-layer information of the HSI is extracted by a cubic ...