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Matching a photograph to satellite images

We describe a method for generating location estimates for a photograph by automatically matching it to satellite imagery. First, a user labels interest points in the photograph corresponding to stationary objects also identifiable from the air. We show how to compute robust invariants which can be matched against a large database of satellite views, and we evaluate several invariants on simulated data. We also explore the problem of automatic tree detection, and combine it with the invariants technique in a proof-of-concept demonstration of our image location method on a photograph from the Arnold Arboretum.