AINeutralarXiv – CS AI · 6h ago6/10
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Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models
Researchers propose a paradigm shift in Earth Observation Foundation Models by integrating raster satellite imagery with vector data (like OpenStreetMap) into unified embedding spaces. This multimodal approach aims to create more semantically grounded geospatial AI systems that combine continuous physical patterns from imagery with discrete human-centric geographic entities and their relationships.