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

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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Bibliographic Details
Main Authors: Chen Ding, Yu Li, Yue Wen, Mengmeng Zheng, Lei Zhang, Wei Wei, Yanning Zhang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
few-shot learning
one-shot learning
pseudo-label learning
hyperspectral image classification
Online Access:https://www.mdpi.com/2072-4292/13/17/3539

Internet

https://www.mdpi.com/2072-4292/13/17/3539

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