Remote Sensing Image Scene Classification via Self-Supervised Learning and Knowledge Distillation

Remote Sensing Image Scene Classification via Self-Supervised Learning and Knowledge Distillation

The main challenges of remote sensing image scene classification are extracting discriminative features and making full use of the training data. The current mainstream deep learning methods usually only use the hard labels of the samples, ignoring the potential soft labels and natural labels. Self-...

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Bibliographic Details
Main Authors: Yibo Zhao, Jianjun Liu, Jinlong Yang, Zebin Wu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
remote sensing images
scene classification
knowledge distillation
attention
feature fusion
self-supervised learning
Online Access:https://www.mdpi.com/2072-4292/14/19/4813

Internet

https://www.mdpi.com/2072-4292/14/19/4813

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