relation: http://www.eledia.org/students-reports/785/
title: A Matrix Completion Approach to Image Sparse Targets under the First‐Order Born Approximation
creator: Oliveri, G.
creator: Salucci, M.
creator: Anselmi, N.
subject: A WC Next Generation Wireless Communications
subject: M AT Analytic Techniques
subject: M CS Compressive Sensing
description: In this work, a novel approach to solve the microwave inverse scattering problem under the first-order Born approximation to image sparse and weak targets is addressed. Towards this end, a single-task Bayesian compressive sensing (ST-BCS) solver is exploited to retrieve a preliminary guess of the unknown contrast distribution within an inaccessible domain. Then, a filtering process is used to filter out the "less reliable" contrast coefficients from the BCS guess. Finally, a customized matrix completion (MC) procedure is adopted in order to complete the retrieved images and achieve significant accuracy improvements under high levels of noise on processed data.   In order to validate the effectiveness of the proposed methodology some representative numerical benchmarks are presented considering different targets and noise levels.
publisher: ELEDIA Research Center - University of Trento
date: 2018
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/785/1/A%20%20Matrix%20Completion%20Approach%20to%20Image%20Sparse%20Targets%20under%20the%20First%E2%80%90Order%20Born%20Approximation.pdf
identifier:   Oliveri, G. and Salucci, M. and Anselmi, N.  (2018) A Matrix Completion Approach to Image Sparse Targets under the First‐Order Born Approximation.  Technical Report. ELEDIA Research Center - University of Trento.