Interests in synthetic aperture radar (SAR) data analysis is driven by the constantly increased spatial resolutions of the acquired images, where the geometries of scene objects can be better defined than in lower resolution data. This paper addresses the problem of the built-up areas extraction in high-resolution (HR) SAR images, which can provide a wealth of information to characterize urban ...

Generalized variogram is used to extract vocal dysperiocities in disordered speech produced by dysphonic speakers. Both signal and dysperiodicity are passed through a filter bank and a segmental signal-to-dysperiodicity ratio is defined in each frequency band. Multivariate analysis is carried out to summarize the degree of perceived hoarseness. The predictor variables are the segmental signal-t...

Method for reducing the number of wild animal monitors is proposed by means of Kriging. Through wild animal route of simulations with 128 by 128 cells, the required number of wild animal monitors is clarified. Then it is found that the number of wild animal monitors can be reduced based on Kriging by using variograms and semi-variograms among the neighboring monitors. Also, it is found that the...

For modelling non-stationary spatial random fields Z = {Z(x) : x ∈ Rn, n ≥ 2} a recent method has been proposed to deform bijectively the index space so that the spatial dispersion D(x, y) = var[Z(x) − Z(y)], (x, y) ∈ Rn × Rn, depends only on the Euclidean distance in the deformed space through a stationary and isotropic variogram γ. We prove uniqueness of this model in two different cases: (i)...

It is a matter o f common experience that ore values often do not follow the normal (or lognormal) distributions assumed for them, but, instead, follow some other heavier-tailed distribution. In this paper we discuss the robust estimation o f the variogram when the distribution is normal-like in the central region but heavier than normal in the tails. It is shown that the use o f a fourth-root ...

Up to now, relatively little effort has been dedicated the quantitative assessment of differences in spatial patterns model outputs. In this paper, we employed a variogram-based methodology quantify root-zone soil moisture, net radiation, and latent sensible heat fluxes simulated by three land surface models (SURFEX/ISBA, JULES CHTESSEL) over European geographic domains – namely, UK, France Spa...

We investigate the use of the standard morphological texture characterisation methods, the granulometry and the variogram, in the task of texture classification. These methods are applied to both colour and greyscale texture images. We also introduce a method for minimising the effect of different illumination conditions and show that its use leads to improved classification. The classification...

A new methodology to detect fibres orientation in composite materials, using image processing tools is introduced. Several examples with manufacturing defects are studied using RIMAPS technique and the Variogram method. The characterization is made from digitized images of the samples. Combined use of RIMAPS and Variogram analyses identified the orientation of fibres and determined the values o...