Multistage Training and Fusion Method for Imbalanced Multimodal UAV Remote Sensing Classification

In remote sensing applications, autonomous aerial vehicles (AAVs) overcome the limitations of single-sensor approaches by integrating multiple sensors and fusing cross-modal data, significantly improving target classification accuracy. However, during the process of multimodal learning, the effectiv...

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Principais autores:	Shihao Wang, Zhengwei Xu, Yun Lin
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Gradient conflict modal fusion modality imbalance multimodal learning
גישה מקוונת:	https://ieeexplore.ieee.org/document/11071999/
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