Hierarchical Transfer Learning with Transformers to Improve Semantic Segmentation in Remote Sensing Land Use

Land use classification remains a significant challenge in remote sensing semantic segmentation. While convolutional neural networks (CNNs) are widely used, their inherent limitations, such as restricted receptive fields, hinder their widespread application in remote sensing. Additionally, the scarc...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Miaomiao Chen, Lianfa Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	land use semantic segmentation transformer hierarchical transfer learning
Online Access:	https://www.mdpi.com/2072-4292/17/2/290