Deep Convolutional Neural Networks for Hyperspectral Image Classification

Figure 3

The architecture of the proposed CNN classifier. The input represents a pixel spectral vector, followed by a convolution layer and a max pooling layer in turns to compute a set of 20 feature maps classified with a fully connected network.