Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification

Due to the scarcity and high cost of labeled hyperspectral image (HSI) samples, many deep learning methods driven by massive data cannot achieve the intended expectations. Semi-supervised and self-supervised algorithms have advantages in coping with this phenomenon. This paper primarily concentrates...

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Detalles Bibliográficos

Principais autores:	Liangliang Song, Zhixi Feng, Shuyuan Yang, Xinyu Zhang, Licheng Jiao
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-06-01
Series:	Remote Sensing
Assuntos:	semi-supervised learning self-supervised learning auxiliary tasks hyperspectral image classification
Acceso en liña:	https://www.mdpi.com/2072-4292/14/13/2997
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