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Found 5 papers, 0 papers with code
Innovative Cognitive Approaches for Joint Radar Clutter Classification and Multiple Target Detection in Heterogeneous Environments
The joint adaptive detection of multiple point-like targets in scenarios characterized by different clutter types is still an open problem in the radar community.
EM-based Solutions for Covariance Structure Detection and Classification in Polarimetric SAR Images
This paper addresses the challenge of classifying polarimetric SAR images by leveraging the peculiar characteristics of the polarimetric covariance matrix (PCM).
Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals
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.
A Unifying Framework for Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses
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.
Learning Strategies for Radar Clutter Classification
The classification procedure relies on a model for the observables including latent variables that is solved by the expectation-maximization algorithm.
