Classification of very high resolution SAR images of urban areas
In the framework of the assessment of environmental risks, we propose herein a new
supervised Bayesian classification method. It combines statistical image modeling with a …
supervised Bayesian classification method. It combines statistical image modeling with a …
Incorporating financial applications in signal processing curricula
I Pollak - IEEE Signal Processing Magazine, 2011 - ieeexplore.ieee.org
Modern signal processing heavily relies on probability and statistics. Naturally, these
subjects are emphasized in the signal processing curricula at both the undergraduate and …
subjects are emphasized in the signal processing curricula at both the undergraduate and …
Synthetic aperture radar image classification via mixture approaches
In this paper we focus on the fundamental synthetic aperture radars (SAR) image processing
problem of supervised classification. To address it we consider a statistical finite mixture …
problem of supervised classification. To address it we consider a statistical finite mixture …
[PDF][PDF] Classification of very high resolution SAR images of urban areas
AVVKG Moser, SBSJ Zerubia - 2011 - inria.hal.science
In the framework of the assessment of environmental risks, we propose herein a new
supervised Bayesian classification method. It combines statistical image modeling with a …
supervised Bayesian classification method. It combines statistical image modeling with a …
[PDF][PDF] On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
VAKG Moser—Sebastiano, BSJ Zerubia - 2011 - Citeseer
Parameter estimation of probability density functions is one of the major steps in the
mainframe of statistical image and signal processing. In this report we explore the properties …
mainframe of statistical image and signal processing. In this report we explore the properties …