Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar

Federica Salvetti; Marco Martorella; Elisa Giusti; Daniele Stagliano

doi:10.1109/TAES.2018.2864469

Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar

Federica Salvetti^*, Marco Martorella, Elisa Giusti, Daniele Stagliano

^*Corresponding author for this work

Engineering

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

Abstract

Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry. Such technique, namely Inteferometric ISAR (InISAR), allows for the main target scattering centers to be mapped into a 3-D spatial domain, therefore forming 3-D images under the form of 3-D point clouds. 3-D InISAR overcomes some main limitations of traditional 2-D ISAR imaging, such as the problem of cross-range scaling and unknown image projection plane. Despite the great advantage of 3-D imaging over traditional 2-D imaging, some issues remain, such as scatterer scintillation, shadowing effects, poor SNR, etc., which limit the effectiveness of 3-D imaging. A solution to these issues can be found in the use of multiple 3-D views, which can be obtained exploiting either multitemporal or multiperspective configurations or a combination of both. This paper proposes this concept and develops the image fusion algorithms that are necessary to produce multiview 3-D ISAR images. The effectiveness of the proposed technique is tested by using real data collected with a multistatic InISAR system.

Original language	English
Article number	8451947
Pages (from-to)	718-733
Number of pages	16
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	55
Issue number	2
DOIs	https://doi.org/10.1109/TAES.2018.2864469
Publication status	Published - Apr 2019

Bibliographical note

Funding Information:
This work was partially supported by the NATO under the framework of The NATO Set 196 “Multichannel/Multistatic Radar Imaging of Noncooperative Targets.” Authors’ address: F. Salvetti and E. Giusti are with the National Laboratory of Radar and Surveillance Systems (RaSS), CNIT, Pisa 56124, Italy, E-mail: ([email protected]; [email protected]); M. Mar-torella is with the Laboratory of Radar and Surveillance Systems (RaSS), CNIT, Pisa 56124, Italy, and also with the Department of Information Engineering, University of Pisa, Pisa 56122, Italy, E-mail: ([email protected]); D. Staglianò is with the Department of Information Engineering, University of Pisa, Pisa 56122, Italy, E-mail: ([email protected]). (Corresponding author: Federica Salvetti.)

Publisher Copyright:
© 1965-2011 IEEE.

Keywords

3-D Radar Imaging
Inverse synthetic aperture radar (ISAR)
multi-view radar Imaging
radar interferometry
three-dimensional (3D) incoherent image fusion

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TAES.2018.2864469

Cite this

@article{dde74be28eab48bda44561df79c061c4,

title = "Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar",

abstract = "Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry. Such technique, namely Inteferometric ISAR (InISAR), allows for the main target scattering centers to be mapped into a 3-D spatial domain, therefore forming 3-D images under the form of 3-D point clouds. 3-D InISAR overcomes some main limitations of traditional 2-D ISAR imaging, such as the problem of cross-range scaling and unknown image projection plane. Despite the great advantage of 3-D imaging over traditional 2-D imaging, some issues remain, such as scatterer scintillation, shadowing effects, poor SNR, etc., which limit the effectiveness of 3-D imaging. A solution to these issues can be found in the use of multiple 3-D views, which can be obtained exploiting either multitemporal or multiperspective configurations or a combination of both. This paper proposes this concept and develops the image fusion algorithms that are necessary to produce multiview 3-D ISAR images. The effectiveness of the proposed technique is tested by using real data collected with a multistatic InISAR system.",

keywords = "3-D Radar Imaging, Inverse synthetic aperture radar (ISAR), multi-view radar Imaging, radar interferometry, three-dimensional (3D) incoherent image fusion",

author = "Federica Salvetti and Marco Martorella and Elisa Giusti and Daniele Stagliano",

note = "Funding Information: This work was partially supported by the NATO under the framework of The NATO Set 196 “Multichannel/Multistatic Radar Imaging of Noncooperative Targets.” Authors{\textquoteright} address: F. Salvetti and E. Giusti are with the National Laboratory of Radar and Surveillance Systems (RaSS), CNIT, Pisa 56124, Italy, E-mail: ([email protected]; [email protected]); M. Mar-torella is with the Laboratory of Radar and Surveillance Systems (RaSS), CNIT, Pisa 56124, Italy, and also with the Department of Information Engineering, University of Pisa, Pisa 56122, Italy, E-mail: ([email protected]); D. Staglian{\`o} is with the Department of Information Engineering, University of Pisa, Pisa 56122, Italy, E-mail: ([email protected]). (Corresponding author: Federica Salvetti.) Publisher Copyright: {\textcopyright} 1965-2011 IEEE.",

year = "2019",

month = apr,

doi = "10.1109/TAES.2018.2864469",

language = "English",

volume = "55",

pages = "718--733",

journal = "IEEE Transactions on Aerospace and Electronic Systems",

issn = "0018-9251",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

number = "2",

}

TY - JOUR

T1 - Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar

AU - Salvetti, Federica

AU - Martorella, Marco

AU - Giusti, Elisa

AU - Stagliano, Daniele

N1 - Funding Information: This work was partially supported by the NATO under the framework of The NATO Set 196 “Multichannel/Multistatic Radar Imaging of Noncooperative Targets.” Authors’ address: F. Salvetti and E. Giusti are with the National Laboratory of Radar and Surveillance Systems (RaSS), CNIT, Pisa 56124, Italy, E-mail: ([email protected]; [email protected]); M. Mar-torella is with the Laboratory of Radar and Surveillance Systems (RaSS), CNIT, Pisa 56124, Italy, and also with the Department of Information Engineering, University of Pisa, Pisa 56122, Italy, E-mail: ([email protected]); D. Staglianò is with the Department of Information Engineering, University of Pisa, Pisa 56122, Italy, E-mail: ([email protected]). (Corresponding author: Federica Salvetti.) Publisher Copyright: © 1965-2011 IEEE.

PY - 2019/4

Y1 - 2019/4

N2 - Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry. Such technique, namely Inteferometric ISAR (InISAR), allows for the main target scattering centers to be mapped into a 3-D spatial domain, therefore forming 3-D images under the form of 3-D point clouds. 3-D InISAR overcomes some main limitations of traditional 2-D ISAR imaging, such as the problem of cross-range scaling and unknown image projection plane. Despite the great advantage of 3-D imaging over traditional 2-D imaging, some issues remain, such as scatterer scintillation, shadowing effects, poor SNR, etc., which limit the effectiveness of 3-D imaging. A solution to these issues can be found in the use of multiple 3-D views, which can be obtained exploiting either multitemporal or multiperspective configurations or a combination of both. This paper proposes this concept and develops the image fusion algorithms that are necessary to produce multiview 3-D ISAR images. The effectiveness of the proposed technique is tested by using real data collected with a multistatic InISAR system.

AB - Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry. Such technique, namely Inteferometric ISAR (InISAR), allows for the main target scattering centers to be mapped into a 3-D spatial domain, therefore forming 3-D images under the form of 3-D point clouds. 3-D InISAR overcomes some main limitations of traditional 2-D ISAR imaging, such as the problem of cross-range scaling and unknown image projection plane. Despite the great advantage of 3-D imaging over traditional 2-D imaging, some issues remain, such as scatterer scintillation, shadowing effects, poor SNR, etc., which limit the effectiveness of 3-D imaging. A solution to these issues can be found in the use of multiple 3-D views, which can be obtained exploiting either multitemporal or multiperspective configurations or a combination of both. This paper proposes this concept and develops the image fusion algorithms that are necessary to produce multiview 3-D ISAR images. The effectiveness of the proposed technique is tested by using real data collected with a multistatic InISAR system.

KW - 3-D Radar Imaging

KW - Inverse synthetic aperture radar (ISAR)

KW - multi-view radar Imaging

KW - radar interferometry

KW - three-dimensional (3D) incoherent image fusion

UR - http://www.scopus.com/inward/record.url?scp=85052665426&partnerID=8YFLogxK

U2 - 10.1109/TAES.2018.2864469

DO - 10.1109/TAES.2018.2864469

M3 - Article

AN - SCOPUS:85052665426

SN - 0018-9251

VL - 55

SP - 718

EP - 733

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 2

M1 - 8451947

ER -

Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this