98 citations · 298 across the 15 of their papers we have counts for
17 papers
An Information-Theoretic Detector for Multiple Scatterers in SAR Tomography
Pia Addabbo, Diego Reale, Antonio Pauciullo +2
Persistent scatterer interferometry and Synthetic Aperture Radar (SAR) Tomography are powerful tools for the detection and time monitoring of persistent scatterers. They have been…
EM-based Algorithm for Unsupervised Clustering of Measurements from a Radar Sensor Network
Linjie Yan, Pia Addabbo, Nicomino Fiscante +4
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. The network is formed by n…
Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems
Pia Addabbo, Nicomino Fiscante, Gaetano Giunta +3
Hyperspectral target detection is a task of primary importance in remote sensing since it allows identification, location, and discrimination of target features. To this end, the r…
A Unified Theory of Adaptive Subspace Detection. Part II: Numerical Examples
Pia Addabbo, Danilo Orlando, Giuseppe Ricci +1
This paper is devoted to the performance analysis of the detectors proposed in the companion paper where a comprehensive design framework is presented for the adaptive detection of…
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices
Tianqi Wang, Da Xu, Chengpeng Hao +2
This letter deals with the problem of clutter edge detection and localization in training data. To this end, the problem is formulated as a binary hypothesis test assuming that the…
Unsupervised Sparse Unmixing of Atmospheric Trace Gases from Hyperspectral Satellite Data
Nicomino Fiscante, Pia Addabbo, Filippo Biondi +2
In this letter, a new approach for the retrieval of the vertical column concentrations of trace gases from hyperspectral satellite observations, is proposed. The main idea is to pe…
EM-based Solutions for Covariance Structure Detection and Classification in Polarimetric SAR Images
Pia Addabbo, Filippo Biondi, Carmine Clemente +3
This paper addresses the challenge of classifying polarimetric SAR images by leveraging the peculiar characteristics of the polarimetric covariance matrix (PCM). To this end, a gen…
Adaptive Detection of Dim Maneuvering Targets in Adjacent Range Cells
Sheng Yan, Pia Addabbo, Chengpeng Hao +1
This letter addresses the detection problem of dim maneuvering targets in the presence of range cell migration. Specifically, it is assumed that the moving target can appear in mor…
Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals
Sudan Han, Linjie Yan, Yuxuan Zhang +3
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…
Geostationary Real-Time 3D Polarimetric RADAR Imaging by Orbital Angular Momentum Interferometry and Multi-Chromatic Analysis
Filippo Biondi, Pia Addabbo, Carmine Clemente +2
We design the proof of concept for high-resolution (HR) real-time (RT), Geosynchronous and Geostationary (Geo) Polarimetric (Pol) using orbital angular momentum (OAM) interferometr…
Novel Parameter Estimation and Radar Detection Approaches for Multiple Point-like Targets: Designs and Comparisons
Pia Addabbo, Jun Liu, Danilo Orlando +1
In this work, we develop and compare two innovative strategies for parameter estimation and radar detection of multiple point-like targets. The first strategy, which appears here f…
Monitoring of Critical Infrastructures by Micro-Motion Estimation: the Mosul Dam Destabilization
Filippo Biondi, Pia Addabbo, Carmine Clemente +2
In this paper, authors propose a new procedure to provide a tool for monitoring critical infrastructures. Particularly, through the analysis of COSMO-SkyMed satellite data, a detai…
A Sparse Learning Approach to the Detection of Multiple Noise-Like Jammers
Linjie Yan, Pia Addabbo, Yuxuan Zhang +4
In this paper, we address the problem of detecting multiple Noise-Like Jammers (NLJs) through a radar system equipped with an array of sensors. To this end, we develop an elegant a…
Learning Strategies for Radar Clutter Classification
Pia Addabbo, Sudan Han, Danilo Orlando +1
In this paper, we address the problem of classifying clutter returns in order to partition them into statistically homogeneous subsets. The classification procedure relies on a mod…
Adaptive Radar Detection of Dim Moving Targets in Presence of Range Migration
Pia Addabbo, Danilo Orlando, Giuseppe Ricci
This paper addresses adaptive radar detection of dim moving targets. To circumvent range migration, the detection problem is formulated as a multiple hypothesis test and solved app…
Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming
Pia Addabbo, Olivier Besson, Danilo Orlando +1
In this paper, we devise adaptive decision schemes to detect targets competing against clutter and smart noise-like jammers (NLJ) which illuminate the radar system from the sidelob…
New ECCM Techniques Against Noise-like and/or Coherent Interferers
Linjie Yan, Pia Addabbo, Chengpeng Hao +2
Multiple-stage adaptive architectures are conceived to face with the problem of target detection buried in noise, clutter, and intentional interference. First, a scenario where the…