no code implementations • 4 May 2024 • Linjie Yan, Pia Addabbo, Nicomino Fiscante, Carmine Clemente, Chengpeng Hao, Gaetano Giunta, Danilo Orlando
This paper deals with the problem of clustering data returned by a radar sensor network that monitors a region where multiple moving targets are present.
no code implementations • 16 Jan 2023 • Pia Addabbo, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Giuseppe Ricci, Silvia Liberata Ullo
Hyperspectral target detection is a task of primary importance in remote sensing since it allows identification, location, and discrimination of target features.
no code implementations • 11 May 2022 • Pia Addabbo, Danilo Orlando, Giuseppe Ricci, Louis L. Scharf
If, instead, the signal subspace is known only by its dimension, the performance of GLR and EP detectors is very similar.
no code implementations • 3 Feb 2022 • Tianqi Wang, Da Xu, Chengpeng Hao, Pia Addabbo, Danilo Orlando
This letter deals with the problem of clutter edge detection and localization in training data.
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 Mar 2021 • Sheng Yan, Pia Addabbo, Chengpeng Hao, Danilo Orlando
This letter addresses the detection problem of dim maneuvering targets in the presence of range cell migration.
no code implementations • 23 Dec 2020 • Sudan Han, Linjie Yan, Yuxuan Zhang, Pia Addabbo, Chengpeng Hao, Danilo Orlando
In this paper, we address the problem of target detection in the presence of coherent (or fully correlated) signals, which can be due to multipath propagation effects or electronic attacks by smart jammers.
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 • 17 Sep 2020 • Pia Addabbo, Jun Liu, Danilo Orlando, Giuseppe Ricci
In this work, we develop and compare two innovative strategies for parameter estimation and radar detection of multiple point-like targets.
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 • Pia Addabbo, Sudan Han, Fillippo Biondi, Gaetano Giunta, Danilo Orlando
This analysis highlights that the architectures devised within the proposed framework represent an effective means to deal with detection problems where the uncertainty on some parameters leads to multiple alternative hypotheses.
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 • 17 Apr 2020 • Pia Addabbo, Sudan Han, Danilo Orlando, Giuseppe Ricci
The classification procedure relies on a model for the observables including latent variables that is solved by the expectation-maximization algorithm.