Global–Local Feature Fusion of Swin Kansformer Novel Network for Complex Scene Classification in Remote Sensing Images

Global–Local Feature Fusion of Swin Kansformer Novel Network for Complex Scene Classification in Remote Sensing Images

The spatial distribution characteristics of remote sensing scene imagery exhibit significant complexity, necessitating the extraction of critical semantic features and effective discrimination of feature information to improve classification accuracy. While the combination of traditional convolution...

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Bibliographic Details
Main Authors: Shuangxian An, Leyi Zhang, Xia Li, Guozhuang Zhang, Peizhe Li, Ke Zhao, Hua Ma, Zhiyang Lian
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
remote sensing scene classification
multilayer perceptron
Swin Kansformer
Kolmogorov–Arnold network
Online Access:https://www.mdpi.com/2072-4292/17/7/1137
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