LEPA: Learning Geometric Equivariance in Satellite Remote Sensing Data with a Predictive Architecture

Erik Scheurer, Rocco Sedona, Stefan Kesselheim +1

Geospatial foundation models provide precomputed embeddings that serve as compact feature vectors for large-scale satellite remote sensing data. While these embeddings can reduce d…