A5045153980- Calibration and Measurement Techniques
- Image and Signal Denoising Methods
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Meteorological Phenomena and Simulations
- Atmospheric Ozone and Climate
- Statistical Methods and Inference
- Atmospheric aerosols and clouds
- Solar Radiation and Photovoltaics
- Sparse and Compressive Sensing Techniques
- Solar Thermal and Photovoltaic Systems
- Numerical methods in inverse problems
- Advanced Statistical Methods and Models
- Advanced Numerical Analysis Techniques
- Spectroscopy and Chemometric Analyses
- Infrared Target Detection Methodologies
- Urban Heat Island Mitigation
- Photovoltaic System Optimization Techniques
- Advanced Image Fusion Techniques
- Statistical and numerical algorithms
- Approximation Theory and Sequence Spaces
- Blind Source Separation Techniques
- Atmospheric and Environmental Gas Dynamics
- Iterative Methods for Nonlinear Equations
- Structural Health Monitoring Techniques
National Research Council
2011-2024
Institute of Applied Science and Intelligent Systems
2020-2023
Institute for Microelectronics and Microsystems
2017-2022
Istituto per le Applicazioni del Calcolo Mauro Picone
2008-2020
Laboratoire Jean Kuntzmann
2009-2020
Université Grenoble Alpes
2020
University of Cape Town
2020
IAC (United States)
2012-2013
European Centre for Medium-Range Weather Forecasts
2009
University of Basilicata
2009
This paper presents a new hybrid approach integrating the cross-entropy (CE) algorithm and sequential quadratic programming (SQP) technique to solve economic load dispatch (ELD) problem related electrical power generating units. Due introduction of valve-point effect in ELD objective function, optimization task requires tools appropriate for nonconvex landscape. In this respect, we employ CE approach, which constructs random sequence solutions probabilistically converging near-optimal...
The main objectives of the PRISMA (Hyperspectral Precursor Application Mission) mission are: implementation an Earth Observation pre-operative payload, in-orbit demonstration and qualification Italian state-of-the-art hyperspectral/panchromatic technology validation end-to-end data processing system able to support development new applications based on high spectral resolution images. aim paper is provide overview by describing current status program giving a brief outline work done till now...
The problem of solving numerically a Fredholm integral equation the first kind when it is known that f(x)>or=0, by regularization method based on minimization considered. convergence solutions this problem, given conditions data and parameter lambda , demonstrated to show procedure leads correct method. A generalized cross validation strategy for selection introduced. number numerical experiments are made comparisons with Tikhonov schemes differential operators.
Abstract. We introduce a classification method (cumulative discriminant analysis) of the analysis type to discriminate between cloudy and clear-sky satellite observations in thermal infrared. The tool is intended for high-spectral-resolution infrared sounder (IRS) planned geostationary METEOSAT (Meteorological Satellite) Third Generation platform uses IASI (Infrared Atmospheric Sounding Interferometer) data as proxy. cumulative does not biases intrinsic with approximation probability density...
An experimental method to select the number of principal components in minimum noise fraction (MNF) is proposed process images measured by imagery sensors onboard aircraft or satellites. The based on an measurement spectrometers dark conditions from which structure can be estimated. To represent typical land and atmospheric variability, a significative data set synthetic noise-free real Multispectral Infrared Visible Imaging Spectrometer built. this purpose, subset spectra selected within...
The upcoming launch of the next generation hyperspectral satellites (PRISMA, EnMap, HyspIRI, etc.) will meet increasing demand for availability/accessibility information on agricultural land use from agriculture community. To this purpose, algorithms classification remotely sensed images are here considered monitoring cultivated area, exploiting high spectral resolution images. Classification is accomplished by procedures based discriminant analysis tools that well suit hyperspectrality,...
A Riemannian manifold optimization strategy is proposed to facilitate the relaxation of orthonormality constraint in a more natural way course performing independent component analysis (ICA) that employs mutual information-based source-adaptive contrast function. Despite extensive development techniques catering constraint, only limited number works have been dedicated oblique (OB) algorithms intrinsically handle normality which has empirically shown be superior other and Euclidean...
Abstract. A retrieval algorithm that uses a statistical strategy based on dimension reduction is proposed. The methodology and details of the implementation new are presented discussed. has been applied to high resolution spectra measured by Infrared Atmospheric Sounding Interferometer instrument retrieve atmospheric profiles temperature, water vapour ozone. performance inversion assessed comparing retrieved ones obtained co-locating in space time from European Centre for Medium-Range...
The problem of the effect apodization on retrieval geophysical parameters from infrared radiances recorded by Fourier transform spectrometers has been analytically and numerically addressed. Exploiting a matrix representation apodization, we first derive general analytical expression for apodized covariance then show that when properly applied, no retrievals. methodology applied to investigate Gaussian Infrared Atmospheric Sounding Interferometer currently under development at laboratories...
The SAP4PRISMA is a four year research project which aims at developing algorithms and products for the future PRISMA mission. started on May 2010 now entering his full activities as "PRISMA like" data set has been defined test areas were selected. paper describes main objectives realized in first 9 months of project.
The SAP4PRISMA project research activities aimed at supporting the Italian hyperspectral PRISMA mission by developing preliminary processing chains suitable for to obtain high level data products agriculture, land degradation, natural and human hazards.
Surface electromyographic (sEMG) data impart valuable information concerning muscle function and neuromuscular diseases especially under human movement conditions. However, they are subject to trial-wise subject-wise variations, which would pose challenges for investigators engaged in precisely estimating the onset of activation. To this end, we posited two unsupervised statistical approaches - scree-plot elbow detection (SPE) heavily relying on threshold choice more robust profile...
Abstract Methods coming from statistics and pattern recognition to estimate the cloud mask radiance measured by visible infrared sensors on board satellites are gaining greater consideration for their ability properly exploit increasing number of channels available with current next-generation sensors. Endowed physical arguments, they give rise robust methods accurately estimating mask. Application such classification Moderate Resolution Imaging Spectroradiometer (MODIS) data is discussed in...
Abstract. We investigate the asymptotic optimality of several Bayesian wavelet estimators, namely, posterior mean, median and Bayes Factor, where prior imposed on coefficients is a mixture mass function at zero Gaussian density. show that in terms mean squared error, for properly chosen hyperparameters prior, all three resulting estimators achieve optimal minimax rates within any prescribed Besov space p ≥ 2. For 1 ≤ < 2, Factor still (2 s +2)/(2 +1) 2 always outperforms can only best...