A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Classification With Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 627-636, 2019.

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In this paper, a novel feature extraction method is proposed for hyperspectral image classification using a Gaussian–Bernoulli restricted Boltzmann machine (GBRBM) in parallel. The proposed approach employs several GBRBMs with different hidden layers to extract deep features from hyperspectral images, which are nonlinear and local invaria...More



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