Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment

Hyperspectral image (HSI) classification is gaining a lot of momentum in present time because of high inherent spectral information within the images. However, these images suffer from the problem of curse of dimensionality and usually require a large number samples for tasks such as classification,...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Pande, Shivam, Nassim Ait Ali Braham, Wang, Yi, Albrecht, Conrad M, Banerjee, Biplab, Xiao Xiang Zhu
Format:	Artikel
Sprache:	eng
Schlagworte:	Data integration Datasets Deep learning Hyperspectral imaging Image classification Semi-supervised learning
Online-Zugang:	Volltext
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