activity
20122022
most citedHypothesis Testing in Speckled Data with Stochastic Distances

109 citations · 1.1k across the 45 of their papers we have counts for

collaborators

50 papers

cs.IT2022★ 9 cited

Statistical Properties of the Entropy from Ordinal Patterns

Eduarda T. C. Chagas, Alejandro. C. Frery, Juliana Gambini +3

The ultimate purpose of the statistical analysis of ordinal patterns is to characterize the distribution of the features they induce. In particular, knowing the joint distribution…

physics.class-ph2022

Dual Approaches to Express the Generalized Degree of Polarimetric Purity

Avik Bhattacharya, Subhadip Dey, Alejandro C. Frery

The degree of polarimetric purity is an invariant dimensionless quantity that characterizes the closeness of a polarization state of a wave to a pure state and is related to the Vo…

eess.SP2019★ 56 cited

A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance

Debanshu Ratha, Eric Pottier, Avik Bhattacharya +1

We propose a generic Scattering Power Factorization Framework (SPFF) for Polarimetric Synthetic Aperture Radar (PolSAR) data to directly obtain scattering power components alon…

stat.ME2019

Comparing Samples from the Distribution using a Geodesic Distance

Alejandro C. Frery, Juliana Gambini

The distribution is widely used for monopolarized SAR image modeling because it can characterize regions with different degree of texture accurately. It is indexed…

stat.AP2018

Parameter Estimation for the Single-Look Distribution

Débora Chan, Andrea Rey, Juliana Gambini +1

The statistical properties of Synthetic Aperture Radar (SAR) image texture reveals useful target characteristics. It is well-known that these images are affected by speckle, and pr…

stat.AP2018★ 2 cited

Revisiting the effect of spatial resolution on information content based on classification results

M. G. Palacio, S. B. Ferrero, A. C. Frery

Polarimetric Synthetic Aperture Radar (PolSAR) images are an important source of information. Speckle noise gives SAR images a granular appearance that makes interpretation and ana…