scispace - formally typeset
P

Pietro Ferraro

Researcher at National Research Council

Publications -  720
Citations -  14634

Pietro Ferraro is an academic researcher from National Research Council. The author has contributed to research in topics: Digital holography & Holography. The author has an hindex of 61, co-authored 653 publications receiving 12666 citations. Previous affiliations of Pietro Ferraro include Aeritalia & Centre national de la recherche scientifique.

Papers
More filters
Journal ArticleDOI

Multi-wavelengths digital holography: reconstruction, synthesis and display of holograms using adaptive transformation

TL;DR: A method based on spatial transformations of multiwavelength digital holograms and the correlation matching of their numerical reconstructions is proposed, with the aim to improve superimposition of different color reconstructed images.
Journal ArticleDOI

Interrogation of FBG-based strain sensors by means of laser radio-frequency modulation techniques

TL;DR: In this article, the authors proposed a novel, highly sensitive method for interrogation of fiber Bragg gratings (FBGs) as well as high-finesse fiber resonators, which relies on radiofrequency modulation of a distributed-feedback diode laser with phase-sensitive detection of the sensor-reflected signals.
Journal ArticleDOI

Deep learning assisted portable IR active imaging sensor spots and identifies live humans through fire

TL;DR: The successful use of a pre-trained Convolutional Neural Network is shown in recognizing a static or moving person through fire when this is imaged by the proposed system, able to detect the person even in the case the imaging system cannot reject the flame disturbance in full.
Journal ArticleDOI

Investigation of electric internal field in congruent LiNbO3 by electro-optic effect

TL;DR: In this paper, the effect of defect-induced internal field on the electro-optic behavior of z-cut congruent lithium niobate crystals was investigated, by a spatially resolved interferometric techn...
Journal ArticleDOI

Learning Diatoms Classification from a Dry Test Slide by Holographic Microscopy.

TL;DR: This work demonstrates the successful classification of diatoms based on a proper CNNs ensemble and a fully augmented dataset, i.e., creation starting from one single image per class available from a commercial glass slide containing 50 fixed species in a dry setting.