From the 2 of 14 linked papers with an AI index.
14 papers
Efficient Neural-Network-Based High-Resolution Radiative Transfer for CO___ Retrieval, and Application to Interferometric Sensing
Jordan Lontsi Tedongmo, Yann Ferrec, Laurence Croizé +3
Studying climate change requires reducing uncertainties in CO2 and CH4 emission estimates to better distinguish anthropogenic from natural sources, which motivates spaceborne measu…
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,…
Generalization Limits in Vehicle Re-Identification
Anis Yassine Ben Mabrouk, Antoine Tadros, Rafael Grompone von Gioi +3
Vehicle re-identification focuses on retrieving images of the same vehicle from a gallery given a query image. Upon closer inspection of commonly used datasets, we observe that veh…
EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering
Pierrick Bournez, Luca Savant Aira, Thibaud Ehret +1
Recently, 3D Gaussian Splatting has been introduced as a compelling alternative to NeRF for Earth observation, offering competitive reconstruction quality with significantly reduce…
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…