foundation models 1multi-date 1satellite imagery 1seasonal variation 1stereo matching 1synthetic data 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
SeasonStereo: Robust Dense Stereo Matching for Multi-Date Satellite Imagery via Generative AI
Ãlvaro DÃaz-Laureano, Roger MarÃ, ElÃas Masquil +2
SeasonStereo is a framework that trains dense stereo matching models on synthetic satellite image pairs with varied seasonal appearances and uses zero‑shot geometric priors from fo…
cs.CV2026
Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
Zhe Zheng, Valéry Dewil, Pablo Arias
Super-resolution (SR) of satellite imagery is challenging due to the lack of paired low-/high-resolution data. Recent self-supervised SR methods overcome this limitation by exploit…
physics.geo-ph2025
Inversion of Magnetic Data using Learned Dictionaries and Scale Space
Shadab Ahamed, Simon Ghyselincks, Pablo Chang Huang Arias +5
Magnetic data inversion is an important tool in geophysics, used to infer subsurface magnetic susceptibility distributions from surface magnetic field measurements. This inverse pr…