mlsanityData to 14 Oct 2026

Leveraging Vision Reconstruction Pipelines for Satellite Imagery

arXiv 1910.02989 ↗First posted 7 Oct 2019cs.CVcited by 23

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Abstract (arXiv)

Reconstructing 3D geometry from satellite imagery is an important topic of research. However, disparities exist between how this 3D reconstruction problem is handled in the remote sensing context and how multi-view reconstruction pipelines have been developed in the computer vision community. In this paper, we explore whether state-of-the-art reconstruction pipelines from the vision community can be applied to the satellite imagery. Along the way, we address several challenges adapting vision-based structure from motion and multi-view stereo methods. We show that vision pipelines can offer competitive speed and accuracy in the satellite context.

Key facts. Cited by 23 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2019.

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Citing papers per year: 2021: 4; 2022: 2; 2023: 3; 2024: 2; 2025: 6; 2026: 6.

23 papers.

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  1. 2022Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Camerascited by 59
  2. 2025Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagerycited by 17
  3. 2021Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matchingcited by 14
  4. 2025SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Imagescited by 14
  5. 2021Single View Geocentric Pose in the Wildcited by 9
  6. 2025Sat-DN: Implicit Surface Reconstruction from Multi-View Satellite Images with Depth and Normal Supervisioncited by 6
  7. 2025From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Imagescited by 5
  8. 20213D Surface Reconstruction From Multi-Date Satellite Imagescited by 3
  9. 2021Cumulative Assessment for Urban 3D Modelingcited by 3
  10. 2022Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstructioncited by 3
  11. 2026ShadowGS: Shadow-Aware 3D Gaussian Splatting for Satellite Imagerycited by 3
  12. 2023Fast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Sizecited by 2
11 more
  1. 2023rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Cameracited by 2
  2. 2024Learning autonomous driving from aerial imagerycited by 2
  3. 2025Semantic Neural Radiance Fields for Multi-Date Satellite Datacited by 2
  4. 2026RPC-GS: Gaussian Splatting with native RPC Rendering for Satellite Imagerycited by 2
  5. 2026EO-VGGT: Orbital Ray-Conditioned 3D Foundation Models for Satellite Multi-View Reconstructioncited by 1
  6. 2023Refined Equivalent Pinhole Model for Large-scale 3D Reconstruction from Spaceborne CCD Imagerycited by 0
  7. 2024Success Probability in Multi-View Imagingcited by 0
  8. 2025Methods for evaluating the resolution of 3D data derived from satellite imagescited by 0
  9. 2026SatGeo-NeRF: Geometrically Regularized NeRF for Satellite Imagerycited by 0
  10. 2026Robust RPC Bundle Adjustment for Multi-Date Satellite Imagery with Season-Invariant Correspondencescited by 0
  11. 2026GeoRay: Gauge-Aware Feed-Forward Satellite 3D Reconstruction in the Geodetic Framecited by 0