ISAR image resolution enhancement: Compressive sensing versus state-of-the-art super-resolution techniques

Elisa Giusti*, Davide Cataldo, Alessio Bacci, Sonia Tomei, Marco Martorella

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

The applicability of compressive sensing (CS) to inverse synthetic aperture radar (ISAR) imagery has been widely discussed over the past few years. In particular, CS-based ISAR image-reconstruction algorithms have been developed and their effectiveness proven when dealing with incomplete ISAR data. Resolution enhancement has also been identified as a case for which CS can be effectively applied to ISAR imagery. In this case, the acquired signal can be interpreted as incomplete data in the frequency/slow-time domain and CS used to reconstruct the super-resolved ISAR image. In this paper, an exhaustive performance analysis is carried out along with a comparison between CS and conventional super-resolution techniques. Several concepts and methods have been introduced in order to effectively define the performance, which is not simply based on visual inspection.

Original languageEnglish
Article number8293847
Pages (from-to)1983-1997
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume54
Issue number4
DOIs
Publication statusPublished - Aug 2018

Bibliographical note

Funding Information:
This was supported in part by the European Defence Agency in the framework of the Radar Implementation of Compressive Sensing (RICS) project.

Publisher Copyright:
© 1965-2011 IEEE.

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'ISAR image resolution enhancement: Compressive sensing versus state-of-the-art super-resolution techniques'. Together they form a unique fingerprint.

Cite this