activity
20182021
collaborators

9 papers

eess.SP2021

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…

eess.SP2020

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…

eess.SP2020

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…

eess.SP2019

CFAR Feature Plane: a Novel Framework for the Analysis and Design of Radar Detectors

Angelo Coluccia, Alessio Fascista, Giuseppe Ricci

Since Kelly's pioneering work on GLRT-based adaptive detection, many solutions have been proposed to enhance either selectivity or robustness of radar detectors to mismatched signa…

eess.SP2019

A k-nearest neighbors approach to the design of radar detectors

Angelo Coluccia, Alessio Fascista, Giuseppe Ricci

A k-nearest neighbors (KNN) approach to the design of radar detectors is investigated. The idea is to start with either raw data or well-known radar receiver statistics as feature…

eess.SP2019

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…