SOURCE-LINKED INTELLIGENCE
Efficient Continuous DEM Reconstruction under Limited Target-Resolution Supervision
High-resolution digital elevation models (DEMs) support Earth observation applications, but paired training references are often available only at coarser output resolutions. Reconstructing finer terrain grids therefore requires both effective transfer beyond the supervised scale and control of dense-query computation. To address this problem, SCOPE learns a continuous terrain representation from coarser-resolution pairs. It predicts a latent coefficient field on the low-resolution grid and reuses local Fourier residual functions through basis evaluation and geometry-guided ensemble fusion. Th
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-24T14:23:59.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.