A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation

Accurate semantic segmentation of remote sensing data plays a crucial role in the success of geoscience research and applications. Recently, multimodal fusion-based segmentation models have attracted much attention due to their outstanding performance as compared to conventional single-modal techniq...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-15
Hauptverfasser:	Ma, Xianping, Zhang, Xiaokang, Pun, Man-On, Liu, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Convolutional neural networks Data mining Feature extraction Multilevel Multilevel multimodal fusion Neural networks Remote sensing Semantic segmentation Semantics Source code Steering Transformers vision transformer (Vit)
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