Leveraging Vision Reconstruction Pipelines for Satellite Imagery

October 07, 2019 ยท Entered Twilight ยท ๐Ÿ› 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

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Authors Kai Zhang, Jin Sun, Noah Snavely arXiv ID 1910.02989 Category cs.CV: Computer Vision Citations 60 Venue 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) Repository https://github.com/kai-46/VisSat โญ 3 Last Checked 7 days ago
Abstract
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.
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