This article aims to provide a comprehensive review of the latest advancements in numerical
methods and practical implementations in the field of fractional stochastic partial differential …

The design of bespoke adaptive detection schemes relying on the joint use of
multistatic/polarimetric measurements requires a preliminary statistical inference on the …

Polarimetric incoherent target decomposition aims at accessing physical parameters of
illuminated scatters through the analysis of the target coherence or covariance matrix. In this …

In this paper, the problem of estimating complex-valued proportional covariance matrices is
addressed. The obtained estimate generalizes the fixed point estimate to scaled packets of …

Exploitation algorithms for synthetic aperture radar (SAR) frequently rely on the Gaussian
backscatter assumption. However, previous research has shown that this assumption breaks …

The Cloude and Pottier H/α feature space is one of the most employed methods for
unsupervised polarimetric synthetic aperture radar (PolSAR) data classification based on …

In this paper, we describe a new approach to non-coherent change detection for high
resolution polarimetric synthetic aperture radar (polSAR) exploitation. In the high resolution …

Cloude and Pottier H/α feature space [1] is one of the most employed methods for
unsupervised PolSAR data classification based on Incoherent Target Decomposition. The …

Je tiens à remercier encore une fois, Gabriel VASILE pour les défis qu'il m'a proposés et la
chance de travailler avec de nouvelles technologies, apprendre de nouvelles notions …

Most of the tests proposed in the literature to verify if a given random multivariate dataset fits
a spherical or elliptical distribution are designed for real valued data and rely on the …