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Florence Tupin
Researcher at Télécom ParisTech
Publications - 231
Citations - 6913
Florence Tupin is an academic researcher from Télécom ParisTech. The author has contributed to research in topics: Synthetic aperture radar & Radar imaging. The author has an hindex of 36, co-authored 223 publications receiving 5786 citations. Previous affiliations of Florence Tupin include Centre national de la recherche scientifique & Institut Mines-Télécom.
Papers
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Journal ArticleDOI
Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights
TL;DR: The proposed filter is an extension of the nonlocal means (NL means) algorithm introduced by Buades, which performs a weighted average of the values of similar pixels which depends on the noise distribution model.
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Detection of linear features in SAR images: application to road network extraction
TL;DR: The authors propose a two-step algorithm for almost unsupervised detection of linear structures, in particular, main axes in road networks, as seen in synthetic aperture radar (SAR) images.
Journal ArticleDOI
Sar-sift: a sift-like algorithm for sar images
TL;DR: A SIFT-like algorithm specifically dedicated to SAR imaging, which includes both the detection of keypoints and the computation of local descriptors, and an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles is presented.
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A new statistical model for Markovian classification of urban areas in high-resolution SAR images
TL;DR: A mathematical model that relies on the Fisher distribution and the log-moment estimation and which is relevant for one-look data is used, and its accuracy for urban areas at high resolution is proved.
Journal ArticleDOI
NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising
TL;DR: A general method, i.e., NL-SAR, that builds extended nonlocal neighborhoods for denoising amplitude, polarimetric, and/or interferometric SAR images, and the best one is locally selected to form a single restored image with good preservation of radar structures and discontinuities is described.