S²RCFormer: Spatial-Spectral Residual Cross-Attention Transformer for Multimodal Remote Sensing Data Classification

With the advancement of remote sensing technology, more and more modalities are becoming available for land cover classification tasks, helping to address the issue of insufficiency and incompleteness caused by modeling on single-source remote sensing images. However, most existing remote sensing da...

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Podrobná bibliografie

Hlavní autoři:	Yifei Xu, Lingming Cao, Jialu Li, Wenlong Li, Yaochen Li, Yingjie Zong, Aichen Wang, Yuan Rao, Shuiguang Deng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Classification multimodal remote sensing residual cross-attention transformer
On-line přístup:	https://ieeexplore.ieee.org/document/11045906/
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