Reliable estimation of long-range dependence parameters is vital in time series. For example, in environmental and climate science such estimation is often key to …
Natural images, especially color or multicomponent images, are complex information- carrying signals. To contribute to the characterization of this complexity, we investigate the …
Long memory has been observed for time series across a multitude of fields, and the accurate estimation of such dependence, for example via the Hurst exponent, is crucial for …
Self-similar processes are useful models for natural systems that exhibit scaling. Operator scaling allows a different scale factor in each coordinate. This paper develops practical …
The present thesis deals with amplitude and sign decompositions of images via complex wavelets. We develop the monogenic curvelet transform for the directional decomposition of …
We propose a signal analysis tool based on the sign (or the phase) of complex wavelet coefficients, which we call a signature. The signature is defined as the fine-scale limit of the …
This chapter overviews statistical models and transforms that are pertinent for an understanding of the subsequent chapters. A number of models of random processes …
A method for segmenting water bodies in optical and synthetic aperture radar (SAR) satellite images is proposed. It makes use of the textural features of the different regions in the image …
VM San Martin, A Figliola - Papers in physics, 2017 - SciELO Argentina
Application of multifractal analysis to segmentation of water bodies in optical satellite images Page 1 Papers in Physics, vol. 9, art. 090007 (2017) Received: 29 May 2017 …