Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data

Federica Salvetti; Elisa Giusti; Daniele Stagliano; Marco Martorella

doi:10.1109/RADAR.2016.7485133

Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data

Federica Salvetti, Elisa Giusti, Daniele Stagliano, Marco Martorella

Engineering

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

Abstract

It has recently been demonstrated that Interferometrie ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-Temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.

Original language	English
Title of host publication	2016 IEEE Radar Conference, RadarConf 2016
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781509008636
DOIs	https://doi.org/10.1109/RADAR.2016.7485133
Publication status	Published - 3 Jun 2016
Event	2016 IEEE Radar Conference, RadarConf 2016 - Philadelphia, United States Duration: 2 May 2016 → 6 May 2016

Publication series

Name	2016 IEEE Radar Conference, RadarConf 2016

Conference

Conference	2016 IEEE Radar Conference, RadarConf 2016
Country/Territory	United States
City	Philadelphia
Period	2/05/16 → 6/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications
Instrumentation

Access to Document

10.1109/RADAR.2016.7485133

Cite this

@inproceedings{80fb855944ae480e94c0090f50e28d2f,

title = "Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data",

abstract = "It has recently been demonstrated that Interferometrie ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-Temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.",

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

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Radar Conference, RadarConf 2016 ; Conference date: 02-05-2016 Through 06-05-2016",

year = "2016",

month = jun,

day = "3",

doi = "10.1109/RADAR.2016.7485133",

language = "English",

series = "2016 IEEE Radar Conference, RadarConf 2016",

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

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Salvetti, F, Giusti, E, Stagliano, D & Martorella, M 2016, Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data. in 2016 IEEE Radar Conference, RadarConf 2016., 7485133, 2016 IEEE Radar Conference, RadarConf 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016 IEEE Radar Conference, RadarConf 2016, Philadelphia, United States, 2/05/16. https://doi.org/10.1109/RADAR.2016.7485133

Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data. / Salvetti, Federica; Giusti, Elisa; Stagliano, Daniele et al.
2016 IEEE Radar Conference, RadarConf 2016. Institute of Electrical and Electronics Engineers (IEEE), 2016. 7485133 (2016 IEEE Radar Conference, RadarConf 2016).

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

TY - GEN

T1 - Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data

AU - Salvetti, Federica

AU - Giusti, Elisa

AU - Stagliano, Daniele

AU - Martorella, Marco

PY - 2016/6/3

Y1 - 2016/6/3

N2 - It has recently been demonstrated that Interferometrie ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-Temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.

AB - It has recently been demonstrated that Interferometrie ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-Temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.

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U2 - 10.1109/RADAR.2016.7485133

DO - 10.1109/RADAR.2016.7485133

M3 - Conference contribution

AN - SCOPUS:84978221219

T3 - 2016 IEEE Radar Conference, RadarConf 2016

BT - 2016 IEEE Radar Conference, RadarConf 2016

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2016 IEEE Radar Conference, RadarConf 2016

Y2 - 2 May 2016 through 6 May 2016

ER -

Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this