176 citations · 785 across the 18 of their papers we have counts for
19 papers
Beyond FRiM, ASAP: a family of sparse approximation for covariance matrices and preconditioners
Éric Thiébaut, Michel Tallon, Samuel Thé +1
The FRiM fractal operator belongs to a family of operators, called ASAP, defined by an ordered selection of nearest neighbors. This generalization provides means to improve upon th…
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…
A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas
Zoé Berenger, Loïc Denis, Florence Tupin +2
Synthetic aperture radar tomographic imaging reconstructs the three-dimensional reflectivity of a scene from a set of coherent acquisitions performed in an interferometric configur…
Multi-temporal speckle reduction with self-supervised deep neural networks
Inès Meraoumia, Emanuele Dalsasso, Loïc Denis +2
Speckle filtering is generally a prerequisite to the analysis of synthetic aperture radar (SAR) images. Tremendous progress has been achieved in the domain of single-image despeckl…
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images
Inès Meraoumia, Emanuele Dalsasso, Loïc Denis +1
Reducing speckle and limiting the variations of the physical parameters in Synthetic Aperture Radar (SAR) images is often a key-step to fully exploit the potential of such data. No…
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…