ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques

A. Bacci; E. Giusti; D. Cataldo; S. Tomei; M. Martorella

doi:10.1109/CoSeRa.2016.7745734

ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques

A. Bacci
, E. Giusti
, D. Cataldo
, S. Tomei
, M. Martorella

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The applicability of Compressing Sensing (CS) to Inverse Synthetic Aperture Radar has been widely treated in the last few years. In particular, CS based image reconstruction algorithms have been developed and their effectiveness has been proven when dealing with data that are incomplete in slow time and/or frequency domain. Resolution enhancement has been identified as a case in which CS can be exploited to obtain good results even compared with state of the art super resolution techniques. In this paper an exhaustive performance analysis is performed and a numerical comparison among CS and conventional super resolution techniques is provided. Some performance indicators are defined and results are provided using real dataset.

Original language	English
Title of host publication	2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	227-231
Number of pages	5
ISBN (Electronic)	9781509029204
DOIs	https://doi.org/10.1109/CoSeRa.2016.7745734
Publication status	Published - 15 Nov 2016
Event	4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 - Aachen, Germany Duration: 19 Sept 2016 → 23 Sept 2016

Publication series

Name	2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016

Conference

Conference	4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Country/Territory	Germany
City	Aachen
Period	19/09/16 → 23/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

Instrumentation
Signal Processing

Access to Document

10.1109/CoSeRa.2016.7745734

Cite this

Bacci, A., Giusti, E., Cataldo, D., Tomei, S., & Martorella, M. (2016). ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques. In 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 (pp. 227-231). Article 7745734 (2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CoSeRa.2016.7745734

Bacci, A. ; Giusti, E. ; Cataldo, D. et al. / ISAR resolution enhancement via compressive sensing : A comparison with state of the art SR techniques. 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. Institute of Electrical and Electronics Engineers (IEEE), 2016. pp. 227-231 (2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016).

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abstract = "The applicability of Compressing Sensing (CS) to Inverse Synthetic Aperture Radar has been widely treated in the last few years. In particular, CS based image reconstruction algorithms have been developed and their effectiveness has been proven when dealing with data that are incomplete in slow time and/or frequency domain. Resolution enhancement has been identified as a case in which CS can be exploited to obtain good results even compared with state of the art super resolution techniques. In this paper an exhaustive performance analysis is performed and a numerical comparison among CS and conventional super resolution techniques is provided. Some performance indicators are defined and results are provided using real dataset.",

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Bacci, A, Giusti, E, Cataldo, D, Tomei, S & Martorella, M 2016, ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques. in 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016., 7745734, 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016, Institute of Electrical and Electronics Engineers (IEEE), pp. 227-231, 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016, Aachen, Germany, 19/09/16. https://doi.org/10.1109/CoSeRa.2016.7745734

ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques. / Bacci, A.; Giusti, E.; Cataldo, D. et al.
2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 227-231 7745734 (2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The applicability of Compressing Sensing (CS) to Inverse Synthetic Aperture Radar has been widely treated in the last few years. In particular, CS based image reconstruction algorithms have been developed and their effectiveness has been proven when dealing with data that are incomplete in slow time and/or frequency domain. Resolution enhancement has been identified as a case in which CS can be exploited to obtain good results even compared with state of the art super resolution techniques. In this paper an exhaustive performance analysis is performed and a numerical comparison among CS and conventional super resolution techniques is provided. Some performance indicators are defined and results are provided using real dataset.

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Bacci A, Giusti E, Cataldo D, Tomei S, Martorella M. ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques. In 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 227-231. 7745734. (2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016). doi: 10.1109/CoSeRa.2016.7745734

ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this