Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label Learning

Deep neural networks have underpinned much of the recent progress in the field of hyperspectral image (HSI) classification owing to their powerful ability to learn discriminative features. However, training a deep neural network often requires the availability of a large number of labeled samples to...

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Bibliografski detalji

Glavni autori:	Chen Ding, Yu Li, Yue Wen, Mengmeng Zheng, Lei Zhang, Wei Wei, Yanning Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-09-01
Serija:	Remote Sensing
Teme:	few-shot learning one-shot learning pseudo-label learning hyperspectral image classification
Online pristup:	https://www.mdpi.com/2072-4292/13/17/3539
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