From the 2 of 5 linked papers with an AI index.
5 papers
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…
Robust RPC Bundle Adjustment for Multi-Date Satellite Imagery with Season-Invariant Correspondences
Roger MarÃ, ElÃas Masquil, Xavier Bou +2
The paper introduces a method that refines satellite camera models by using learned, season‑invariant feature matching and global image descriptors to select reliable image pairs,…
Deep S2P: Integrating Learning Based Stereo Matching Into the Satellite Stereo Pipeline
ElÃas Masquil, Thibaud Ehret, Pablo Musé +1
Digital Surface Model generation from satellite imagery is a core task in Earth observation and is commonly addressed using classical stereoscopic matching algorithms in satellite…
Diachronic Stereo Matching for Multi-Date Satellite Imagery
ElÃas Masquil, Luca Savant Aira, Roger Marà +3
Recent advances in image-based satellite 3D reconstruction have progressed along two complementary directions. On one hand, multi-date approaches using NeRF or Gaussian-splatting j…
S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications
ElÃas Masquil, Roger MarÃ, Thibaud Ehret +3
We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometry-aware shadow detection. Collected from diverse public-domain sources, including…