Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing

H. Aghababaee; Alessandra Budillon; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi

doi:10.1109/IGARSS.2019.8898719

Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing

H. Aghababaee, Alessandra Budillon, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi

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

3 Citations (Scopus)

Abstract

This paper deals with the characterization of permanent scatterers in polarimetric synthetic aperture radar (SAR) images of urban environment. To this aim, the main purpose of this paper is to investigate how spaceborne SAR tomography (TomoSAR) can be employed to identify and distinguish the target scattering mechanisms. Along this, the conventional H-α classifier can be adapted to the reconstructed polarimetric coherence matrix, i.e. T, in a multi-dimensional space. However, dealing with multitemporal multi-baseline satellite images, the accurate tomographic reconstruction requires permanent scatterers between all the acquisitions. To cope with this issue, a generalized likelihood ratio test (GLRT)-based tomographic approach for polarimetric SAR tomography is developed. The proposed framework of scatterer detection and characterization is evaluated using TerraSAR-X polarimetric multi-baseline data sets over an urban area in France.

Original language	English
Title of host publication	IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	986-989
Number of pages	4
ISBN (Electronic)	978-1-5386-9154-0, 978-1-5386-9153-3 (USB)
ISBN (Print)	978-1-5386-9155-7
DOIs	https://doi.org/10.1109/IGARSS.2019.8898719
Publication status	Published - 28 Jul 2019
Externally published	Yes
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 Conference number: 39

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
Volume	2019
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Abbreviated title	IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Keywords

Full-rank reconstruction
H/α classifier
Permanent scatterer
Polarimetric GLRT
SAR tomography
ITC-CV
n/a OA procedure

Access to Document

10.1109/IGARSS.2019.8898719

Cite this

Aghababaee, H., Budillon, A., Ferraioli, G., Pascazio, V., & Schirinzi, G. (2019). Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing. In IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 986-989). Article 8898719 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019). IEEE. https://doi.org/10.1109/IGARSS.2019.8898719

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title = "Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing",

abstract = "This paper deals with the characterization of permanent scatterers in polarimetric synthetic aperture radar (SAR) images of urban environment. To this aim, the main purpose of this paper is to investigate how spaceborne SAR tomography (TomoSAR) can be employed to identify and distinguish the target scattering mechanisms. Along this, the conventional H-α classifier can be adapted to the reconstructed polarimetric coherence matrix, i.e. T, in a multi-dimensional space. However, dealing with multitemporal multi-baseline satellite images, the accurate tomographic reconstruction requires permanent scatterers between all the acquisitions. To cope with this issue, a generalized likelihood ratio test (GLRT)-based tomographic approach for polarimetric SAR tomography is developed. The proposed framework of scatterer detection and characterization is evaluated using TerraSAR-X polarimetric multi-baseline data sets over an urban area in France.",

keywords = "Full-rank reconstruction, H/α classifier, Permanent scatterer, Polarimetric GLRT, SAR tomography, ITC-CV, n/a OA procedure",

author = "H. Aghababaee and Alessandra Budillon and Giampaolo Ferraioli and Vito Pascazio and Gilda Schirinzi",

year = "2019",

month = jul,

day = "28",

doi = "10.1109/IGARSS.2019.8898719",

language = "English",

isbn = "978-1-5386-9155-7",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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booktitle = "IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium",

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note = "39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

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Aghababaee, H, Budillon, A, Ferraioli, G, Pascazio, V & Schirinzi, G 2019, Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing. in IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings., 8898719, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2019, IEEE, Piscataway, NJ, pp. 986-989, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8898719

Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing. / Aghababaee, H.; Budillon, Alessandra; Ferraioli, Giampaolo et al.
IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings. Piscataway, NJ: IEEE, 2019. p. 986-989 8898719 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019).

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

TY - GEN

T1 - Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing

AU - Aghababaee, H.

AU - Budillon, Alessandra

AU - Ferraioli, Giampaolo

AU - Pascazio, Vito

AU - Schirinzi, Gilda

N1 - Conference code: 39

PY - 2019/7/28

Y1 - 2019/7/28

N2 - This paper deals with the characterization of permanent scatterers in polarimetric synthetic aperture radar (SAR) images of urban environment. To this aim, the main purpose of this paper is to investigate how spaceborne SAR tomography (TomoSAR) can be employed to identify and distinguish the target scattering mechanisms. Along this, the conventional H-α classifier can be adapted to the reconstructed polarimetric coherence matrix, i.e. T, in a multi-dimensional space. However, dealing with multitemporal multi-baseline satellite images, the accurate tomographic reconstruction requires permanent scatterers between all the acquisitions. To cope with this issue, a generalized likelihood ratio test (GLRT)-based tomographic approach for polarimetric SAR tomography is developed. The proposed framework of scatterer detection and characterization is evaluated using TerraSAR-X polarimetric multi-baseline data sets over an urban area in France.

AB - This paper deals with the characterization of permanent scatterers in polarimetric synthetic aperture radar (SAR) images of urban environment. To this aim, the main purpose of this paper is to investigate how spaceborne SAR tomography (TomoSAR) can be employed to identify and distinguish the target scattering mechanisms. Along this, the conventional H-α classifier can be adapted to the reconstructed polarimetric coherence matrix, i.e. T, in a multi-dimensional space. However, dealing with multitemporal multi-baseline satellite images, the accurate tomographic reconstruction requires permanent scatterers between all the acquisitions. To cope with this issue, a generalized likelihood ratio test (GLRT)-based tomographic approach for polarimetric SAR tomography is developed. The proposed framework of scatterer detection and characterization is evaluated using TerraSAR-X polarimetric multi-baseline data sets over an urban area in France.

KW - Full-rank reconstruction

KW - H/α classifier

KW - Permanent scatterer

KW - Polarimetric GLRT

KW - SAR tomography

KW - ITC-CV

KW - n/a OA procedure

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DO - 10.1109/IGARSS.2019.8898719

M3 - Conference contribution

AN - SCOPUS:85077674894

SN - 978-1-5386-9155-7

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 986

EP - 989

BT - IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

CY - Piscataway, NJ

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Aghababaee H, Budillon A, Ferraioli G, Pascazio V, Schirinzi G. Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing. In IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings. Piscataway, NJ: IEEE. 2019. p. 986-989. 8898719. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2019.8898719

Three-dimensional target scattering classification using full-rank polarimetric tomographic SAR focusing

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this