Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing(2019)
摘要
The increase in the spectral and spatial information of hyperspectral imagery poses challenges in classification due to the fact that spectral bands are highly correlated, training samples may be limited, and high resolution may increase intraclass difference and interclass similarity. In this paper, in order to better handle these problems, a Caps-TripleGAN framework is proposed by exploring the ...
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关键词
Hyperspectral imaging,Feature extraction,Gallium nitride,Generative adversarial networks,Hidden Markov models
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