Search Results for author: Filippo Biondi

Found 8 papers, 0 papers with code

Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza

no code implementations1 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.

Scanning Volcanoes by Synthetic Aperture Radar

no code implementations18 Jun 2022 Filippo Biondi

In this context, indeed, imaging is only possible on targets distribute on the scene surface.

Unsupervised Sparse Unmixing of Atmospheric Trace Gases from Hyperspectral Satellite Data

no code implementations14 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.

blind source separation Compressive Sensing +1

EM-based Solutions for Covariance Structure Detection and Classification in Polarimetric SAR Images

no code implementations21 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).

Gait Recognition using FMCW Radar and Temporal Convolutional Deep Neural Networks

no code implementations6 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.

Anomaly Detection In Surveillance Videos Gait Recognition

Towards Monocular Digital Elevation Model (DEM) Estimation by Convolutional Neural Networks - Application on Synthetic Aperture Radar Images

no code implementations14 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.

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