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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מידע ביבליוגרפי

Principais autores:	Yifei Xu, Lingming Cao, Jialu Li, Wenlong Li, Yaochen Li, Yingjie Zong, Aichen Wang, Yuan Rao, Shuiguang Deng
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Classification multimodal remote sensing residual cross-attention transformer
גישה מקוונת:	https://ieeexplore.ieee.org/document/11045906/
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