On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography

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

doi:10.1109/IGARSS.2019.8898313

On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography

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

Backscattering separation coming from ground and canopy is one of the main aims in dealing with forest scenario using synthetic aperture radar (SAR) tomography. Theoretically SAR tomography (TomoSAR) provides layover solution, but in practice, insufficient vertical resolution using typical reconstruction approaches may not be sufficient for identification of the vertically aligned scatterers. To cope with this intrinsic issue, we proposed a method that separates the ground and canopy backscatterings based on Random- Volume-over-Ground (RVOG) model and by employing the generalized likelihood ratio test (GLRT) detection schemes over the covariance matrix. Such a separation allows identification of interference of the backscattering, which simply brings the possibility to resolve and separate ground and canopy superposition in the tomogram. Experimental validation of the proposed methodology is provided using a real data set acquired by the ONERA SETHI in the framework of the ESA's campaign, TropiSAR.

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	975-978
Number of pages	4
ISBN (Electronic)	978-1-5386-9154-0, 978-1-5386-9153-3
ISBN (Print)	978-1-5386-9155-7
DOIs	https://doi.org/10.1109/IGARSS.2019.8898313
Publication status	Published - 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	Proceedings IEEE 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

Forest
GLRT
RVOG
SAR tomography
ITC-CV
n/a OA procedure

Access to Document

10.1109/IGARSS.2019.8898313

Cite this

Aghababaee, H., Budillon, A., Ferraioli, G., Pascazio, V., & Schirinzi, G. (2019). On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography. In IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 975-978). Article 8898313 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019). IEEE. https://doi.org/10.1109/IGARSS.2019.8898313

Aghababaee, H. ; Budillon, Alessandra ; Ferraioli, Giampaolo et al. / On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography. IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings . Piscataway, NJ : IEEE, 2019. pp. 975-978 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography",

abstract = "Backscattering separation coming from ground and canopy is one of the main aims in dealing with forest scenario using synthetic aperture radar (SAR) tomography. Theoretically SAR tomography (TomoSAR) provides layover solution, but in practice, insufficient vertical resolution using typical reconstruction approaches may not be sufficient for identification of the vertically aligned scatterers. To cope with this intrinsic issue, we proposed a method that separates the ground and canopy backscatterings based on Random- Volume-over-Ground (RVOG) model and by employing the generalized likelihood ratio test (GLRT) detection schemes over the covariance matrix. Such a separation allows identification of interference of the backscattering, which simply brings the possibility to resolve and separate ground and canopy superposition in the tomogram. Experimental validation of the proposed methodology is provided using a real data set acquired by the ONERA SETHI in the framework of the ESA's campaign, TropiSAR.",

keywords = "Forest, GLRT, RVOG, 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,

doi = "10.1109/IGARSS.2019.8898313",

language = "English",

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

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

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Aghababaee, H, Budillon, A, Ferraioli, G, Pascazio, V & Schirinzi, G 2019, On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography. in IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings ., 8898313, Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2019, IEEE, Piscataway, NJ, pp. 975-978, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8898313

On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography. / Aghababaee, H.; Budillon, Alessandra; Ferraioli, Giampaolo et al.
IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings . Piscataway, NJ: IEEE, 2019. p. 975-978 8898313 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019).

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

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AU - Aghababaee, H.

AU - Budillon, Alessandra

AU - Ferraioli, Giampaolo

AU - Pascazio, Vito

AU - Schirinzi, Gilda

N1 - Conference code: 39

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N2 - Backscattering separation coming from ground and canopy is one of the main aims in dealing with forest scenario using synthetic aperture radar (SAR) tomography. Theoretically SAR tomography (TomoSAR) provides layover solution, but in practice, insufficient vertical resolution using typical reconstruction approaches may not be sufficient for identification of the vertically aligned scatterers. To cope with this intrinsic issue, we proposed a method that separates the ground and canopy backscatterings based on Random- Volume-over-Ground (RVOG) model and by employing the generalized likelihood ratio test (GLRT) detection schemes over the covariance matrix. Such a separation allows identification of interference of the backscattering, which simply brings the possibility to resolve and separate ground and canopy superposition in the tomogram. Experimental validation of the proposed methodology is provided using a real data set acquired by the ONERA SETHI in the framework of the ESA's campaign, TropiSAR.

AB - Backscattering separation coming from ground and canopy is one of the main aims in dealing with forest scenario using synthetic aperture radar (SAR) tomography. Theoretically SAR tomography (TomoSAR) provides layover solution, but in practice, insufficient vertical resolution using typical reconstruction approaches may not be sufficient for identification of the vertically aligned scatterers. To cope with this intrinsic issue, we proposed a method that separates the ground and canopy backscatterings based on Random- Volume-over-Ground (RVOG) model and by employing the generalized likelihood ratio test (GLRT) detection schemes over the covariance matrix. Such a separation allows identification of interference of the backscattering, which simply brings the possibility to resolve and separate ground and canopy superposition in the tomogram. Experimental validation of the proposed methodology is provided using a real data set acquired by the ONERA SETHI in the framework of the ESA's campaign, TropiSAR.

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KW - ITC-CV

KW - n/a OA procedure

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T3 - Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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

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CY - Piscataway, NJ

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Y2 - 28 July 2019 through 2 August 2019

ER -

Aghababaee H, Budillon A, Ferraioli G, Pascazio V, Schirinzi G. On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography. In IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium: Proceedings . Piscataway, NJ: IEEE. 2019. p. 975-978. 8898313. (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2019.8898313

On the separation of ground and canopy scatterings using single polarimetric multi-baseline SAR tomography

Abstract

Publication series

Conference

Keywords

Access to Document

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