Can We Generate Good Samples for Hyperspectral Classification? - A Generative Adversarial Network Based Method

Liangpei Zhang
Liangpei Zhang

IGARSS, pp. 5752-5755, 2018.

Cited by: 3|Bibtex|Views5
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

The insufficiency of training samples is really a great challenge for hyperspectral image (HSI) classification. Samples generation is a commonly used technique in deep learning based remote sensing field which can extend the training set. However, previous methods ignore the real distribution of the training samples in the feature space a...More

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