Polarimetric SAR images for characterization of urban targets

H. Aghababaei; Giampaolo Ferraioli; Roghayeh Zamani

doi:10.1109/IGARSS47720.2021.9553158

Polarimetric SAR images for characterization of urban targets

H. Aghababaei, Giampaolo Ferraioli, Roghayeh Zamani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper addresses the 3D classification of superimposed target scattering mechanisms in polarimetric synthetic aperture radar (SAR) images of urban environments. Theoretically, the solution of this problem is possible with polarimetric tomographic SAR focusing techniques. In this work, we investigate how SAR Tomography (TomoSAR) can be used to identify and distinguish the superimposed target mechanisms. In particular, various strategies are employed to separate and characterize the polarimetric scattering patterns of targets in layover regions. Extensive and comparative analyses are performed to answer how accurately different strategies can identify the polarimetric scattering pattern.

Original language	English
Title of host publication	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1701-1704
Number of pages	4
ISBN (Electronic)	978-1-6654-0369-6
ISBN (Print)	978-1-6654-4762-1, 978-1-6654-0368-9 (USB)
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9553158
Publication status	Published - 12 Oct 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 https://igarss2021.com

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium IGARSS
Publisher	IEEE
Volume	2021
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Abbreviated title	IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21
Internet address	https://igarss2021.com

Keywords

3D classification
Decomposition
SAR tomography
22/1 OA procedure

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10.1109/IGARSS47720.2021.9553158

ArticleFinal published version, 6.55 MBLicence: Taverne

Cite this

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title = "Polarimetric SAR images for characterization of urban targets",

abstract = "This paper addresses the 3D classification of superimposed target scattering mechanisms in polarimetric synthetic aperture radar (SAR) images of urban environments. Theoretically, the solution of this problem is possible with polarimetric tomographic SAR focusing techniques. In this work, we investigate how SAR Tomography (TomoSAR) can be used to identify and distinguish the superimposed target mechanisms. In particular, various strategies are employed to separate and characterize the polarimetric scattering patterns of targets in layover regions. Extensive and comparative analyses are performed to answer how accurately different strategies can identify the polarimetric scattering pattern.",

keywords = "3D classification, Decomposition, SAR tomography, 22/1 OA procedure",

author = "H. Aghababaei and Giampaolo Ferraioli and Roghayeh Zamani",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

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isbn = "978-1-6654-4762-1",

series = "IEEE International Geoscience and Remote Sensing Symposium IGARSS",

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booktitle = "2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021",

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Aghababaei, H, Ferraioli, G & Zamani, R 2021, Polarimetric SAR images for characterization of urban targets. in 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021. IEEE International Geoscience and Remote Sensing Symposium IGARSS, vol. 2021, IEEE, Piscataway, NJ, pp. 1701-1704, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9553158

Polarimetric SAR images for characterization of urban targets. / Aghababaei, H.; Ferraioli, Giampaolo; Zamani, Roghayeh.
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021. Piscataway, NJ: IEEE, 2021. p. 1701-1704 (IEEE International Geoscience and Remote Sensing Symposium IGARSS; Vol. 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Polarimetric SAR images for characterization of urban targets

AU - Aghababaei, H.

AU - Ferraioli, Giampaolo

AU - Zamani, Roghayeh

PY - 2021/10/12

Y1 - 2021/10/12

N2 - This paper addresses the 3D classification of superimposed target scattering mechanisms in polarimetric synthetic aperture radar (SAR) images of urban environments. Theoretically, the solution of this problem is possible with polarimetric tomographic SAR focusing techniques. In this work, we investigate how SAR Tomography (TomoSAR) can be used to identify and distinguish the superimposed target mechanisms. In particular, various strategies are employed to separate and characterize the polarimetric scattering patterns of targets in layover regions. Extensive and comparative analyses are performed to answer how accurately different strategies can identify the polarimetric scattering pattern.

AB - This paper addresses the 3D classification of superimposed target scattering mechanisms in polarimetric synthetic aperture radar (SAR) images of urban environments. Theoretically, the solution of this problem is possible with polarimetric tomographic SAR focusing techniques. In this work, we investigate how SAR Tomography (TomoSAR) can be used to identify and distinguish the superimposed target mechanisms. In particular, various strategies are employed to separate and characterize the polarimetric scattering patterns of targets in layover regions. Extensive and comparative analyses are performed to answer how accurately different strategies can identify the polarimetric scattering pattern.

KW - 3D classification

KW - Decomposition

KW - SAR tomography

KW - 22/1 OA procedure

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DO - 10.1109/IGARSS47720.2021.9553158

M3 - Conference contribution

AN - SCOPUS:85126037740

SN - 978-1-6654-4762-1

SN - 978-1-6654-0368-9 (USB)

T3 - IEEE International Geoscience and Remote Sensing Symposium IGARSS

SP - 1701

EP - 1704

BT - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

PB - IEEE

CY - Piscataway, NJ

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

Polarimetric SAR images for characterization of urban targets

Abstract

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Keywords

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