18 citations · 32 across the 5 of their papers we have counts for
11 papers
Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation
Alexis Groshenry, Clement Giron, Thomas Lauvaux +2
The new generation of hyperspectral imagers, such as PRISMA, has improved significantly our detection capability of methane (CH4) plumes from space at high spatial resolution (30m)…
Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras
Roger Marí, Gabriele Facciolo, Thibaud Ehret
We introduce the Satellite Neural Radiance Field (Sat-NeRF), a new end-to-end model for learning multi-view satellite photogrammetry in the wild. Sat-NeRF combines some of the late…
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products
Jérémy Anger, Thibaud Ehret, Gabriele Facciolo
Recent constellations of satellites, including the Skysat constellation, are able to acquire bursts of images. This new acquisition mode allows for modern image restoration techniq…
Self-Supervised training for blind multi-frame video denoising
Valéry Dewil, Jérémy Anger, Axel Davy +3
We propose a self-supervised approach for training multi-frame video denoising networks. These networks predict frame t from a window of frames around t. Our self-supervised approa…
Implementation of the VBM3D Video Denoising Method and Some Variants
Thibaud Ehret, Pablo Arias
VBM3D is an extension to video of the well known image denoising algorithm BM3D, which takes advantage of the sparse representation of stacks of similar patches in a transform doma…
Robust copy-move forgery detection by false alarms control
Thibaud Ehret
Detecting reliably copy-move forgeries is difficult because images do contain similar objects. The question is: how to discard natural image self-similarities while still detecting…