L
Leandro Chiarantini
Researcher at Selex ES
Publications - 31
Citations - 797
Leandro Chiarantini is an academic researcher from Selex ES. The author has contributed to research in topics: Hyperspectral imaging & Water content. The author has an hindex of 11, co-authored 31 publications receiving 572 citations. Previous affiliations of Leandro Chiarantini include Leonardo.
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Journal ArticleDOI
Hyper-Sharpening: A First Approach on SIM-GA Data
TL;DR: This paper defines a new paradigm (hypersharpening) in remote sensing image fusion, and draws the readers' attention to its peculiar characteristics, by proposing and evaluating two hypersharpens methods.
Proceedings ArticleDOI
SAR interferometry for structural changes detection: a demonstration test on a dam
TL;DR: The displacement of a dam of a water reservoir caused by water level and temperature changes has been monitored over a long period and the results are compared with the data recorded by a network of conventional sensors installed on the structure.
Journal ArticleDOI
Multifrequency passive microwave remote sensing of soil moisture and roughness
TL;DR: In this article, the accuracy of surface soil moisture measurement of rough bare and vegetated soils, typical of the Italian landscape, has been investigated by using microwave experimental data collected by means of a multi-band sensor package (L, X, Ka and infrared bands).
Journal ArticleDOI
The PRISMA imaging spectroscopy mission: overview and first performance analysis
Sergio Cogliati,Francesco Sarti,Leandro Chiarantini,M Cosi,R Lorusso,Ettore Lopinto,Franco Miglietta,Lorenzo Genesio,Luis Guanter,Alexander Damm,Alexander Damm,Sergio Pérez-López,Daniel Scheffler,G Tagliabue,Cinzia Panigada,Uwe Rascher,Thomas P. F. Dowling,Claudia Giardino,Roberto Colombo +18 more
TL;DR: In this paper, the spectral, radiometric and spatial performance of the PRISMA Level 1 Top-Of-Atmosphere radiance (LTOA) product were analyzed.
Proceedings ArticleDOI
Signal-dependent noise modelling and estimation of new-generation imaging spectrometers
Luciano Alparone,Massimo Selva,Bruno Aiazzi,Stefano Baronti,Francesco Butera,Leandro Chiarantini +5 more
TL;DR: This paper deals with an original method suitable for estimating the noise introduced by optical imaging systems, such as CCD cameras, multispectral scanners and imaging spectrometers, which relies on the multivariate regression of local sample mean and variance.