Embedding the Sky

Two projects at the intersection of geospatial data and AI. First, a semantic search engine for aerial imagery, fine-tuned on OpenStreetMap-tagged data. Second, WARP—a custom neural model that learns embeddings of aircraft flight trajectories, trained on roughly a million aircraft tracks. Given any flight path, WARP can instantly retrieve the most similar trajectories from history. It enables…