Simone Pittaluga

Simone Pittaluga
Italian National Research Council | CNR · Institute for Applied Mathematics and Information Technologies IMATI

Geologist

About

10
Publications
672
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17
Citations

Publications

Publications (10)
Article
This paper tackles the volumetric representation of geophysical and geotechnical data, gathered during exploration surveys of the subsoil; in particular, we focus on the modeling and analysis of underwater deposits. The creation of a 3D model as support to geological interpretation has to take into account the heterogeneity of the input data, comin...
Conference Paper
In environmental surveys a large sampling effort is required to produce accurate geostatistical maps representing the distribution of environmental variables, and the analysis of each sample is often expensive. Typically, the sample locations are completely specified in the survey design phase, prior to data-collection. Usually, the sampling points...
Article
Full-text available
Digital environmental data are becoming commonplace and the amount of information they provide is complex to process, due to the size, variety, and dynamic nature of the data captured by sensing devices. The paper discusses an evaluation framework for comparing methods to approximate observed rain data, in real conditions of sparsity of the observa...
Conference Paper
Full-text available
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in time may give interesting insights on the evolution of storm. Our approach is based on a topological analysis of rainfall data allowing for the extraction of the most prominent, and hence meaningful, rainfall field maxima. Then, a...
Chapter
New data acquisition techniques are emerging and are providing fast and efficient means for multidimensional spatial data collection. Airborne LIDAR surveys, SAR satellites, stereo-photogrammetry and mobile mapping systems are increasingly used for the digital reconstruction of the environment. All these systems provide extremely high volumes of ra...
Conference Paper
Full-text available
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process, due to the size, variety, and dynamic nature of the data captured by the available sensing devices. Making use of the data largely relies on the availability of efficient methods to extract meaningful information, and requ...
Chapter
Le procedure di simulazione sequenziale gaussiana applicate ai datasets di Cr, Co, Ni e Pb nei sedimenti fluviali dell'area di Muravera hanno permesso di produrre immagini stocastiche, che evidenziano le caratteristiche di continuità spaziale a bassa frequenza delle variabili: nel contermpo, i risultati delle simulazioni consentono di valutare l'in...

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