The structural similarity (SSIM) index has been studied from different perspectives in the last
decade. Most of the developments consider its parameters fixed. Because each of these …

An R package SpatialPack that implements routines to compute point estimators and
perform hypothesis testing of the spatial association between two stochastic sequences is …

Image fusion of satellite sensors can generate a high-resolution multi-spectral image from
inputs of a high spatial resolution panchromatic image and a low spatial resolution multi …

Visualizing and quantifying spatial patterns of co‐occurrence (ie, of two or more species, or
of species and underlying environmental variables) can suggest hypotheses about …

This paper proposes a methodology to address the classification of images that have been
acquired from remote sensors. One common problem in classification is the high …

The wide use of image fusion techniques in different fields such as medical diagnostics,
digital camera vision, military and surveillance applications, among others, has motivated …

Assessing the significance of the correlation between the components of a bivariate random
field is of great interest in the analysis of spatial data. This problem has been addressed in …

This paper focuses on the construction of image similarity indices that consider the hidden
spatial association between two images. The proposal is a variant of a structural similarity …

In the last decade, image quality indices have received considerable attention to quantify the
dissimilarity between two images. The codispersion coefficient, commonly used in spatial …

Context. The game industry is increasingly growing in recent years. Every day, millions of
people play video games, not only as a hobby, but also for professional competitions (eg, e …