SPARSESAT-NERF: DENSE DEPTH SUPERVISED NEURAL RADIANCE FIELDS FOR SPARSE SATELLITE IMAGES
Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuities. Neural radiance fields (NeRF) offer a new paradigm for reconstructing surface geometries using continuous volumetri...
| Published in: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-12-01
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| Online Access: | https://isprs-annals.copernicus.org/articles/X-1-W1-2023/895/2023/isprs-annals-X-1-W1-2023-895-2023.pdf |