Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography

H. Aghababaei; A. Budillon; G. Ferraioli; A. C. Johnsy; V. Pascazio; G. Schirinzi

doi:10.1109/IGARSS.2018.8517929

Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography

H. Aghababaei, A. Budillon, G. Ferraioli, A. C. Johnsy, V. Pascazio, G. Schirinzi

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

3 Citations (Scopus)

Abstract

This paper addresses the problem of SAR Tomographic (TomoSAR) imaging, allowing the detection of multiple scatterers in presence of partially correlated Gaussian clutter. TomoSAR is a multidimensional imaging technique that has proven its ability in localizing the scatterers, reconstructing the elevation profile of the structures on the ground (3D reconstruction) and estimating the temporal deformations and thermal dilations of the scene (5D reconstruction). In the literature statistical based TomoSAR reconstruction refers to a signal model where in each range-azimuth resolution cell one or more scatterers are interfering in presence of noise and clutter signals, modeled as zero-mean complex circular white Gaussian random vectors. In this paper, we propose to extend a generalized likelihood ratio test (GLRT) detector, proposed by the authors and denoted Fast-Sup-GLRT, to a different signal model, where a correlated clutter model is considered. Results on TerraSAR-X real data are presented.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Place of Publication	Valencia
Publisher	IEEE
Pages	8691-8694
Number of pages	4
ISBN (Electronic)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8517929
Publication status	Published - 4 Nov 2018
Externally published	Yes
Event	38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 Conference number: 38 https://www.igarss2018.org/

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2018-July

Conference

Conference	38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Abbreviated title	2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18
Internet address	https://www.igarss2018.org/

Keywords

Differential Interferometry
GLRT
SAR Interferometry
SAR Tomography
Scatterers detection
ITC-CV
n/a OA procedure

Access to Document

10.1109/IGARSS.2018.8517929

Cite this

Aghababaei, H., Budillon, A., Ferraioli, G., Johnsy, A. C., Pascazio, V., & Schirinzi, G. (2018). Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 8691-8694). Article 8517929 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). IEEE. https://doi.org/10.1109/IGARSS.2018.8517929

@inproceedings{fc54035557c04ee4817b97bdc304d410,

title = "Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography",

abstract = "This paper addresses the problem of SAR Tomographic (TomoSAR) imaging, allowing the detection of multiple scatterers in presence of partially correlated Gaussian clutter. TomoSAR is a multidimensional imaging technique that has proven its ability in localizing the scatterers, reconstructing the elevation profile of the structures on the ground (3D reconstruction) and estimating the temporal deformations and thermal dilations of the scene (5D reconstruction). In the literature statistical based TomoSAR reconstruction refers to a signal model where in each range-azimuth resolution cell one or more scatterers are interfering in presence of noise and clutter signals, modeled as zero-mean complex circular white Gaussian random vectors. In this paper, we propose to extend a generalized likelihood ratio test (GLRT) detector, proposed by the authors and denoted Fast-Sup-GLRT, to a different signal model, where a correlated clutter model is considered. Results on TerraSAR-X real data are presented.",

keywords = "Differential Interferometry, GLRT, SAR Interferometry, SAR Tomography, Scatterers detection, ITC-CV, n/a OA procedure",

author = "H. Aghababaei and A. Budillon and G. Ferraioli and Johnsy, {A. C.} and V. Pascazio and G. Schirinzi",

year = "2018",

month = nov,

day = "4",

doi = "10.1109/IGARSS.2018.8517929",

language = "English",

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

publisher = "IEEE",

pages = "8691--8694",

booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",

address = "United States",

note = "38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Observing, Understanding and Forcasting the Dynamics of Our Planet, 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

url = "https://www.igarss2018.org/",

}

Aghababaei, H, Budillon, A, Ferraioli, G, Johnsy, AC, Pascazio, V & Schirinzi, G 2018, Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8517929, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, IEEE, Valencia, pp. 8691-8694, 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8517929

Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography. / Aghababaei, H.; Budillon, A.; Ferraioli, G. et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Valencia: IEEE, 2018. p. 8691-8694 8517929 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

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

TY - GEN

T1 - Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography

AU - Aghababaei, H.

AU - Budillon, A.

AU - Ferraioli, G.

AU - Johnsy, A. C.

AU - Pascazio, V.

AU - Schirinzi, G.

N1 - Conference code: 38

PY - 2018/11/4

Y1 - 2018/11/4

N2 - This paper addresses the problem of SAR Tomographic (TomoSAR) imaging, allowing the detection of multiple scatterers in presence of partially correlated Gaussian clutter. TomoSAR is a multidimensional imaging technique that has proven its ability in localizing the scatterers, reconstructing the elevation profile of the structures on the ground (3D reconstruction) and estimating the temporal deformations and thermal dilations of the scene (5D reconstruction). In the literature statistical based TomoSAR reconstruction refers to a signal model where in each range-azimuth resolution cell one or more scatterers are interfering in presence of noise and clutter signals, modeled as zero-mean complex circular white Gaussian random vectors. In this paper, we propose to extend a generalized likelihood ratio test (GLRT) detector, proposed by the authors and denoted Fast-Sup-GLRT, to a different signal model, where a correlated clutter model is considered. Results on TerraSAR-X real data are presented.

AB - This paper addresses the problem of SAR Tomographic (TomoSAR) imaging, allowing the detection of multiple scatterers in presence of partially correlated Gaussian clutter. TomoSAR is a multidimensional imaging technique that has proven its ability in localizing the scatterers, reconstructing the elevation profile of the structures on the ground (3D reconstruction) and estimating the temporal deformations and thermal dilations of the scene (5D reconstruction). In the literature statistical based TomoSAR reconstruction refers to a signal model where in each range-azimuth resolution cell one or more scatterers are interfering in presence of noise and clutter signals, modeled as zero-mean complex circular white Gaussian random vectors. In this paper, we propose to extend a generalized likelihood ratio test (GLRT) detector, proposed by the authors and denoted Fast-Sup-GLRT, to a different signal model, where a correlated clutter model is considered. Results on TerraSAR-X real data are presented.

KW - Differential Interferometry

KW - GLRT

KW - SAR Interferometry

KW - SAR Tomography

KW - Scatterers detection

KW - ITC-CV

KW - n/a OA procedure

U2 - 10.1109/IGARSS.2018.8517929

DO - 10.1109/IGARSS.2018.8517929

M3 - Conference contribution

AN - SCOPUS:85063133436

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 8691

EP - 8694

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

PB - IEEE

CY - Valencia

T2 - 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

Y2 - 22 July 2018 through 27 July 2018

ER -

Aghababaei H, Budillon A, Ferraioli G, Johnsy AC, Pascazio V, Schirinzi G. Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Valencia: IEEE. 2018. p. 8691-8694. 8517929. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8517929

Multiple scatterers detection based on signal correlation eploitation in urban SAR tomography

Abstract

Publication series

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Keywords

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