Nicolas Gasnier

PhD Student in Remote Sensing Images Processing

Télécom Paris

CS-Group France

Centre National d'Etudes Spatiales

Biography

Nicolas Gasnier is a PhD student in SAR images processing in the IMAGES team of Télécom Paris. He is working on robust water surfaces extraction approaches as a part of the SWOT mission. His PhD subject is “Use of multi-temporal and multi-sensor data for continental water body extraction in the context of the SWOT mission”.

Download my resumé (in french).

Interests
  • Remote Sensing
  • Images Processing
  • Applied Mathematics
Education

  • PhD in images processing, 2018-2022

    Télécom Paris

  • Master in images processing, 2016-2018

    Sorbonne Université - Télécom ParisTech

  • Student (normalien) in the Electrical Engineering department, 2014-2018

    École Normale Supérieure de Cachan

Recent Publications

Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin (2021). Despeckling Sentinel-1 GRD Images by Deep-Learning and Application to Narrow River Segmentation. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

PDF Cite DOI

Béatrice Pinel-Puysségur, Luca Maggiolo, Michel Roux, Nicolas Gasnier, David Solarna, Gabriele Moser, Sebastiano B. Serpico, Florence Tupin (2021). Experimental Comparison of Registration Methods for Multisensor Sar-Optical Data. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Cite DOI

Nicolas Gasnier, Loïc Denis, Florence Tupin (2021). Generalized Likelihood Ratio Tests for Linear Structure Detection in SAR Images. EUSAR 2021; 13th European Conference on Synthetic Aperture Radar.

PDF Cite DOI

Nicolas Gasnier, Loïc Denis, Roger Fjørtoft, Frédéric Liège, Florence Tupin (2021). Narrow River Extraction From SAR Images Using Exogenous Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Cite DOI

Nicolas Gasnier, Loïc Denis, Florence Tupin (2020). On the Use and Denoising of the Temporal Geometric Mean for SAR Time Series. IEEE Geoscience and Remote Sensing Letters.

PDF Cite DOI

Gasnier Nicolas, Loïc Denis, Florence Tupin (2020). Détection de structures linéiques dans les images radar à synthèse d'ouverture par test de ratio de vraisemblance généralisé. CAP-RFIAP 2020.

PDF Cite

Caifang Cai, Thierry Bore, Florentin Delaine, Nicolas Gasnier, Eric Vourc'h (2017). 3D reconstruction of surface cracks using bi-frequency eddy current images and a direct semi-analytic model. Journal of Physics: Conference Series.

PDF Cite DOI

Caifang Cai, Thierry Bore, Florentin Delaine, Nicolas Gasnier, Romain Soulat, Eric Vourc'h (2017). 3D reconstruction of surface cracks using bi-frequency eddy current images and a direct semi-analytic model. 7th Conference on New Computational Methods for Inverse Problems.

PDF Cite