The scaled complex Wishart distribution is a widely used model for multilook full polarimetric
synthetic aperture radar data whose adequacy is attested in this paper. Classification …

A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this
paper. Its input consists of segments, and each one is assigned the class which minimizes a …

Model-based decompositions have gained considerable attention after the initial work of
Freeman and Durden. This decomposition, which assumes the target to be …

Synthetic aperture radar (SAR) systems are efficient to deal with remote sensing issues. In
contrast, SAR images are affected by speckle noise, due to the use of coherent illumination …

Images obtained from coherent illumination processes are contaminated with speckle noise,
with polarimetric synthetic aperture radar (PolSAR) imagery as a prominent example. With …

This letter proposes a regression model for nonnegative signals. The proposed regression
estimates the mean of Rayleigh distributed signals by a structure which includes a set of …

Abstract Two-dimensional (2-D) autoregressive moving average (ARMA) models are
commonly applied to describe real-world image data, usually assuming Gaussian or …

In this work, we focus on obtaining insights of the performances of some well-known
machine learning image classification techniques (k-NN, Support Vector Machine …

This paper presents five different statistical methods for ground scene prediction (GSP) in
wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used …

The proposal of more flexible distributions is an activity often required in practical contexts.
In particular, adding a positive real parameter to a probability distribution by exponentiation …