Improving portfolios global performance using a cleaned and robust covariance matrix estimate

Theoretical Analysis of an Improved Covariance Matrix Estimator in non-Gaussian Noise

Performance analysis of covariance matrix estimates in impulsive noise

Performance of two Low-Rank STAP Filters in a Heterogeneous Noise

PolSAR Classification based on the SIRV model with a region growing initialization

Advanced Signal Processing Methods for Pulsed Laser Vibrometry

Robust anomaly detection in hyperspectral imaging

A statistical approach to polarimetric SAR data classifiaction

Stable scatterers detection and tracking in heterogeneous clutter by repeat-pass SAR interferometry

A combined TSVM model and GLRT detector for a roll invariant target detection.

Hyperspectral anomaly detectors using robust estimators

Propriété CFAR-Matrice du Détecteur BORD -Application Radar sur Signaux Expérimentaux non-Gaussiens

Exploiting persymmetry for low-rank Space Time Adaptive Processing

SAR Images Refocusing and Scattering Center Detection for Infrastructure Monitoring

Scattering Centers Monitoring in Refocused SAR Images on a High Resolution DEM

Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models

On the Extension of the Product Model in Polsar Processing for Unsupervised Classification Using Information Geometry of Covariance Matrices

Polarimetric Classification in Highly Textured SAR Images

Contribution of Information Geometry for Polarimetric SAR Classification in Heterogeneous Areas

Advanced Laser Vibrometry in Pulsed Mode using Poly-Pulse Waveforms and Time-frequency Processing

Optimal Parameter Estimation in Heterogeneous Clutter for High Resolution Polarimetric SAR Data

Comparaison d'estimateurs de fréquence instantanée et de formes d'ondes pour la vibrométrie laser impulsionnelle

Scatterers Characterisation in Radar Imaging Using Joint Time-Frequency Analysis and Polarimetric Coherent Decompositions

H/α Unsupervised Classification for Highly Textured Polinsar Images using Information Geometry of Covariance Matrices

Signal Processing Methods and Poly-Pulse Waveforms for Laser Vibrometry in Pulsed Mode

Statistical Classification for Heterogeneous Polarimetric SAR Images

KummerU clutter model for PolSAR data: Application to segmentation and classification

Roll Invariant Target Detection based on PolSAR Clutter Models

CFAR Hierarchical Clustering of Polarimetric SAR Data

Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data

Binary partition trees-based robust adaptive hyperspectral RX anomaly detection

Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data

A New method for High Resolution Polarimetric SAR Data Classification Based on the M-Box Test

A Test statistic for high resolution polarimetric SAR Data classification

Stochastically based wet snow mapping with SAR data

Dry snow backscattering sensivity on density change for SWE estimation

Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data Analysis

Time‐frequency characterisation of bistatic Doppler signature of a wooded area walk at L‐band

Scalable Gaussian Process for Large Datasets

Analyse statistique de la puissance absorbée par le corps entier en radiofréquence

Black-box identification and simulation of continuous-time nonlinear systems with random processes

Gradient-based IAGO strategy for the global optimization of expensive-to-evaluate functions and application to intake-port design

Improved scatter search for the global optimization of computationally expensive dynamic models

Identification boîte noire et simulation de systèmes non-linéaires à temps continu par prédiction linéaire de processus aléatoires

Identification of factors influencing the Whole Body Absorption Rate using statistical analysis

Estimation du volume des ensembles d'excursion d'un processus Gaussien par Krigeage intrinsèque

Plan d'expériences séquentiel appliqué à la dosimétrie numérique

Improved scatter search for the global optimization of computationally expensive dynamic models

Estimating derivatives and integrals with Kriging

Identification of expensive-to-simulate parametric models using Kriging and Stepwise Uncertainty Reduction