Semisupervised hyperspectral imagery classification based on a three-dimensional convolutional adversarial autoencoder model with low sample requirements
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DOI: 10.1117/1.jrs.14.024522
Abstract: Abstract. Although there are many state-of-the-art methods for hyperspectral classification, data deficiency is a problem that should be addressed before popularizing hyperspectral technology. To solve this problem, it is worth exploring methods based on small… read more here.
Keywords: semisupervised hyperspectral; adversarial autoencoder; dimensional convolutional; three dimensional ... See more keywords