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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Bibliographic Details
Published in:	Remote Sensing
Main Authors:	Liangliang Song, Zhixi Feng, Shuyuan Yang, Xinyu Zhang, Licheng Jiao
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Subjects:	semi-supervised learning self-supervised learning auxiliary tasks hyperspectral image classification
Online Access:	https://www.mdpi.com/2072-4292/14/13/2997

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