Optimized NeRF for Satellite Imagery

  • Generated Digital Surface Models from multi-view stereo satellite images by optimizing Neural Radiance Field (NeRF) for radiometric inconsistencies such as shadows, transient objects and multi-date imagery.
  • Utilized few-shot learning with Segment Anything Model to learn site-dependent styles for accurate building segmentation

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