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

Figure 6

Reconstructed features under ROSIS-3 data with various numbers of hidden layer neurons. (a) Original and recreated asphalt spectral curve visualizations, when the concealed layer has 10, 30, 50, 70, or 90 neurons, respectively, are shown from left to right. (b) Original and reconstructed versions of the grass spectral curve, left to right, with 10, 30, 50, 70, and 90 neurons in the hidden layer. Visualization of reconstructed features with the different number of hidden layer neurons under HySpex data. (c) Original and reconstructed water body spectral curve with 10, 30, 50, 70, and 90 neurons in the hidden layer, from left to right. (d) Visualization of the original and reconstructed cement road spectral curve with 10, 30, 50, 70, and 90 neurons in the hidden layer, from left to right. The color transitions from blue (low reflectance) to red (high reflectance).

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