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

Elisa Giusti; Davide Cataldo; Alessio Bacci; Sonia Tomei; Marco Martorella

doi:10.1109/TAES.2018.2807283

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

Engineering

Research output: Contribution to journal › Article › peer-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 language	English
Article number	8293847
Pages (from-to)	1983-1997
Number of pages	15
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	54
Issue number	4
DOIs	https://doi.org/10.1109/TAES.2018.2807283
Publication status	Published - 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

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10.1109/TAES.2018.2807283

Cite this

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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.",

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AU - Tomei, Sonia

AU - Martorella, Marco

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

Abstract

Bibliographical note

ASJC Scopus subject areas

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