Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model

Table 6

Comparative analysis of the accuracy of the two autoencoders.

Classification accuracy/(%)	ROSIS-3 data	HySpex data
Stacked autoencoder (SAE)	92.12	94.02
Stacked sparse autoencoder	93.41	94.92