Efficient remote sensing image classification using the novel STConvNeXt convolutional network

Abstract Remote sensing images present formidable classification challenges due to their complex spatial organization, high inter-class similarity, and significant intra-class variability. To address the balance between computational efficiency and feature extraction capability in existing methods,...

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Bibliographic Details
Main Authors: Bo Liu, Chenmei Zhan, Cheng Guo, Xiaobo Liu, Shufen Ruan
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-92629-x
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