Deep Convolutional Asymmetric Autoencoder-Based Spatial-Spectral Clustering Network for Hyperspectral Image

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">PSNR/dB</td><td class="align_center">SSIM</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">AE</td><td class="align_center">22.786322</td><td class="align_center">0.9605432</td></tr><tr><td class="align_left">CAE</td><td class="align_center">40.830353</td><td class="align_center">0.9831473</td></tr><tr><td class="align_left">Proposed model</td><td class="align_center">41.673317</td><td class="align_center">0.9751903</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of other typical autoencoder models.</div>

Wireless Communications and Mobile Computing

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Table 3

Table 3: Deep Convolutional Asymmetric Autoencoder-Based Spatial-Spectral Clustering Network for Hyperspectral Image 