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20132025
most citedMulti-temporal speckle reduction with self-supervised deep neural networks

24 citations · 58 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Multi-view 3D surface reconstruction from SAR images by inverse rendering

Emile Barbier--Renard, Florence Tupin, Nicolas Trouvé +1

3D reconstruction of a scene from Synthetic Aperture Radar (SAR) images mainly relies on interferometric measurements, which involve strict constraints on the acquisition process.…

cs.CV2024

Patch-based adaptive temporal filter and residual evaluation

Weiying Zhao, Paul Riot, Charles-Alban Deledalle +3

In coherent imaging systems, speckle is a signal-dependent noise that visually strongly degrades images' appearance. A huge amount of SAR data has been acquired from different sens…

cs.CV2023

Multitemporal SAR images change detection and visualization using RABASAR and simplified GLR

Weiying Zhao, Charles-Alban Deledalle, Loïc Denis +3

Understanding the state of changed areas requires that precise information be given about the changes. Thus, detecting different kinds of changes is important for land surface moni…

cs.CV2021

As if by magic: self-supervised training of deep despeckling networks with MERLIN

Emanuele Dalsasso, Loïc Denis, Florence Tupin

Speckle fluctuations seriously limit the interpretability of synthetic aperture radar (SAR) images. Speckle reduction has thus been the subject of numerous works spanning at least…

cs.CV2021★ 15 cited

Urban Surface Reconstruction in SAR Tomography by Graph-Cuts

Clément Rambour, Loïc Denis, Florence Tupin +3

SAR (Synthetic Aperture Radar) tomography reconstructs 3-D volumes from stacks of SAR images. High-resolution satellites such as TerraSAR-X provide images that can be combined to p…

cs.CV2021

Multi-View Radar Semantic Segmentation

Arthur Ouaknine, Alasdair Newson, Patrick Pérez +2

Understanding the scene around the ego-vehicle is key to assisted and autonomous driving. Nowadays, this is mostly conducted using cameras and laser scanners, despite their reduced…