Optimizing Few-Shot Remote Sensing Scene Classification Based on an Improved Data Augmentation Approach

Optimizing Few-Shot Remote Sensing Scene Classification Based on an Improved Data Augmentation Approach

In the realm of few-shot classification learning, the judicious application of data augmentation methods has a significantly positive impact on classification performance. In the context of few-shot classification tasks for remote sensing images, the augmentation of features and the efficient utiliz...

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Bibliographic Details
Main Authors:	Zhong Dong, Baojun Lin, Fang Xie
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Remote Sensing
Subjects:	remote sensing scene classification few-shot learning data augmentation feature distortion
Online Access:	https://www.mdpi.com/2072-4292/16/3/525

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