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20232026
most citedDeep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data

4 citations · 4 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation

Mohammad Ammar Mughees, Giovanni Montefoschi, Zhongxin Chen +1

Geospatial foundation models provide reusable representations of satellite imagery that support downstream mapping with limited task-specific modelling. We evaluate whether annual…

cs.CV2026

Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind

Julia Anna Leonardi, Johannes Jakubik, Paolo Fraccaro +1

Geospatial Foundation Models (GFMs) typically lack native support for Hyperspectral Imaging (HSI) due to the complexity and sheer size of high-dimensional spectral data. This study…