SOURCE-LINKED INTELLIGENCE
Do Satellites See Commuters? A Critical Benchmark of Vision Foundation Models
Satellite foundation models offer a globally available alternative to census data for commuting origin-destination (OD) generation, yet no study has systematically compared encoder paradigms within a single downstream pipeline. We ablate four satellite vision encoders: language-supervised (RemoteCLIP), self-supervised (DINOv3), and geographically grounded (SatCLIP, AlphaEarth) within an identical WeDAN graph diffusion framework across 1,925 US counties, 325 UK districts, and 14 global cities under five random seeds. Three main findings emerge. First, language-supervised features achieve the st
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T03:39:26.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.