In this paper, we consider the problem of testing equality of the covariance matrices of
complex Gaussian multivariate time series of dimension. We study the special case where …

This paper studies a statistical model for heteroscedastic (ie, power fluctuating) signals
embedded in white Gaussian noise. Using the Riemannian geometry theory, we propose an …

This paper focuses on the study of a multi-frequency interferometric coherence
characteristics analysis of typical objects for coherent change detection. Coherent change …

We develop the information geometry of scaled Gaussian distributions for which the
covariance matrix exhibits a Kronecker product structure. This model and its geometry are …

Constrained by complex imaging mechanism and extraordinary visual appearance, change
detection with synthetic aperture radar (SAR) images has been a difficult research topic …

Remote sensing systems offer an increased opportunity to record multi-temporal and
multidimensional images of the earth's surface. This opportunity greatly increases the …

Remote sensing systems offer an increased opportunity to record multi-temporal and
multidimensional images of the earth's surface. This opportunity greatly increases the …

In this paper, we propose a new estimator of the covariance matrix parameters when
observations follow a mixture of a deterministic Compound-Gaussian (CG) and a white …

Change detection remains a classic but essential problem in Synthetic Aperture Radar
(SAR) imagery. When designing statistical change detection schemes, SAR data are …

Air surveillance pulse Doppler radars (PDR) need to discriminate targets using the
backscatter generated by small bursts of modulated pulses. Rotating antennas constrain the …