Wide-Area Image Geolocalization with Aerial Reference Imagery

@article{Workman2015WideAreaIG,
  title={Wide-Area Image Geolocalization with Aerial Reference Imagery},
  author={Scott Workman and Richard Souvenir and Nathan Jacobs},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={3961-3969}
}
We propose to use deep convolutional neural networks to address the problem of cross-view image geolocalization, in which the geolocation of a ground-level query image is estimated by matching to georeferenced aerial images. We use state-of-the-art feature representations for ground-level images and introduce a cross-view training approach for learning a joint semantic feature representation for aerial images. We also propose a network architecture that fuses features extracted from aerial… CONTINUE READING
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