no code implementations • 1 Aug 2022 • Filippo Biondi, Corrado Malanga
A problem with synthetic aperture radar (SAR) is that, due to the poor penetrating action of electromagnetic waves inside solid bodies, the capability to observe inside distributed targets is precluded.
no code implementations • 18 Jun 2022 • Filippo Biondi
In this context, indeed, imaging is only possible on targets distribute on the scene surface.
no code implementations • 14 Jan 2022 • Nicomino Fiscante, Pia Addabbo, Filippo Biondi, Gaetano Giunta, Danilo Orlando
In this letter, a new approach for the retrieval of the vertical column concentrations of trace gases from hyperspectral satellite observations, is proposed.
no code implementations • 21 Jun 2021 • Pia Addabbo, Filippo Biondi, Carmine Clemente, Sudan Han, Danilo Orlando, Giuseppe Ricci
This paper addresses the challenge of classifying polarimetric SAR images by leveraging the peculiar characteristics of the polarimetric covariance matrix (PCM).
no code implementations • 7 Dec 2020 • Filippo Biondi, Pia Addabbo, Carmine Clemente, Danilo Orlando, Fabrizio Tamburini
Each OAM fast-time RADAR image is separated in frequency by using MCA.
no code implementations • 6 Aug 2020 • Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Danilo Orlando
The capability of human identification in specific scenarios and in a quickly and accurately manner, is a critical aspect in various surveillance applications.
no code implementations • 10 Jul 2020 • Filippo Biondi, Pia Addabbo, Carmine Clemente, Silvia Liberata Ullo, Danilo Orlando
In this paper, authors propose a new procedure to provide a tool for monitoring critical infrastructures.
no code implementations • 14 Mar 2018 • Gabriele Costante, Thomas A. Ciarfuglia, Filippo Biondi
In this work, the authors propose a novel experimental alternative to the InSAR method that uses single-pass acquisitions, using a data driven approach implemented by Deep Neural Networks.