Research on hyperspectral image classification method based on deep learning
Targeting the issue of insufficient accuracy of hyperspectral image classification methods,a hyperspectral im-age classification method based on Spatial-spatial transformer(SST)network is proposed.Firstly,the hyperspectral im-ages are preprocessed into one-dimensional feature vectors.Then,the SST hyperspectral image classification network with spectral-spatial attention module and pooled residual module is designed.The overall classification accuracy of the proposed classification method on Indian Pines dataset and Pavia University dataset is 98.67%and 99.87%,respective-ly,which indicates that this method has high classification accuracy and provides a new scheme for hyperspectral image classification and application.
deep learninghyperspectral imageclassificationsatellite imagery