Generative Adversarial Networks for Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing(2018)
摘要
A generative adversarial network (GAN) usually contains a generative network and a discriminative network in competition with each other. The GAN has shown its capability in a variety of applications. In this paper, the usefulness and effectiveness of GAN for classification of hyperspectral images (HSIs) are explored for the first time. In the proposed GAN, a convolutional neural network (CNN) is ...
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关键词
Gallium nitride,Training,Hyperspectral imaging,Feature extraction,Generators
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