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arXiv · 2504.18770

PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data

Manuel Weber·Carly Beneke
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Abstract

We propose PyViT-FUSE, a foundation model for earth observation data explicitly designed to handle multi-modal imagery by learning to fuse an arbitrary number of mixed-resolution input bands into a single representation through an attention mechanism. The learned patch tokens are further processed by a stack of vision transformers with a novel pyramidal structure. We train the model on a globally sampled dataset in a self-supervised manner, leveraging core concepts of the SwAV algorithm. We show the interpretability of the fusion mechanism by visualization of the attention scores and the models applicability to downstream tasks.

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BibTeXRIS

Manuel Weber, Carly Beneke. 2025-04-26. PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data. https://arxiv.org/abs/2504.18770

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