On the role of non-local filtering in forest vertical structure characterization using SAR tomography

Hossein Aghababaee; Alessandra Budillon; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi

doi:10.1109/IGARSS.2017.8128385

On the role of non-local filtering in forest vertical structure characterization using SAR tomography

Hossein Aghababaee, Alessandra Budillon, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi

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

2 Citations (Scopus)

Abstract

SAR tomography (TomoSAR) allows facing the problem related to the interference of coherent scatterers within the same pixels due to the occurrence of layover. Whereas, full imaging the continuous reflectivity profile along the elevation dimension is a typical framework to deal with the non-coherent volumetric scatterers in the forested area. Layover usually arises in volumetric scenario and leads to discontinuity in the reconstructed vertical reflectivity image. This paper aims to investigate the possibility of addressing layover issue in forested area by exploiting the unified non-local (NL) filtering of multi-baseline (MB) covariance matrix. To this aim, the performance of non-parametric Capon spectral estimation technique has been analyzed using the NL filtered MB covariance matrix and efficient vertical reflectivity profile reconstruction is demonstrated, which almost addressed the layover issues.

Original language	English
Title of host publication	2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
Place of Publication	Fort Worth
Publisher	IEEE
Pages	6032-6035
Number of pages	4
ISBN (Electronic)	9781509049516
DOIs	https://doi.org/10.1109/IGARSS.2017.8128385
Publication status	Published - 1 Dec 2017
Externally published	Yes
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth Convention Center, Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017 Conference number: 37

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2017-July

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Abbreviated title	IGARSS 2017
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17

Keywords

n/a OA procedure
Non-local filtering
SAR tomography
Vertical structure of forest
ITC-CV
Layover

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10.1109/IGARSS.2017.8128385

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Aghababaee, H., Budillon, A., Ferraioli, G., Pascazio, V., & Schirinzi, G. (2017). On the role of non-local filtering in forest vertical structure characterization using SAR tomography. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (pp. 6032-6035). Article 8128385 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July). IEEE. https://doi.org/10.1109/IGARSS.2017.8128385

Aghababaee, Hossein ; Budillon, Alessandra ; Ferraioli, Giampaolo et al. / On the role of non-local filtering in forest vertical structure characterization using SAR tomography. 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Fort Worth : IEEE, 2017. pp. 6032-6035 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "On the role of non-local filtering in forest vertical structure characterization using SAR tomography",

abstract = "SAR tomography (TomoSAR) allows facing the problem related to the interference of coherent scatterers within the same pixels due to the occurrence of layover. Whereas, full imaging the continuous reflectivity profile along the elevation dimension is a typical framework to deal with the non-coherent volumetric scatterers in the forested area. Layover usually arises in volumetric scenario and leads to discontinuity in the reconstructed vertical reflectivity image. This paper aims to investigate the possibility of addressing layover issue in forested area by exploiting the unified non-local (NL) filtering of multi-baseline (MB) covariance matrix. To this aim, the performance of non-parametric Capon spectral estimation technique has been analyzed using the NL filtered MB covariance matrix and efficient vertical reflectivity profile reconstruction is demonstrated, which almost addressed the layover issues.",

keywords = "n/a OA procedure, Non-local filtering, SAR tomography, Vertical structure of forest, ITC-CV, Layover",

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

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Aghababaee, H, Budillon, A, Ferraioli, G, Pascazio, V & Schirinzi, G 2017, On the role of non-local filtering in forest vertical structure characterization using SAR tomography. in 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings., 8128385, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2017-July, IEEE, Fort Worth, pp. 6032-6035, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, Texas, United States, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8128385

On the role of non-local filtering in forest vertical structure characterization using SAR tomography. / Aghababaee, Hossein; Budillon, Alessandra; Ferraioli, Giampaolo et al.
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Fort Worth: IEEE, 2017. p. 6032-6035 8128385 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July).

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

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AU - Budillon, Alessandra

AU - Ferraioli, Giampaolo

AU - Pascazio, Vito

AU - Schirinzi, Gilda

N1 - Conference code: 37

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N2 - SAR tomography (TomoSAR) allows facing the problem related to the interference of coherent scatterers within the same pixels due to the occurrence of layover. Whereas, full imaging the continuous reflectivity profile along the elevation dimension is a typical framework to deal with the non-coherent volumetric scatterers in the forested area. Layover usually arises in volumetric scenario and leads to discontinuity in the reconstructed vertical reflectivity image. This paper aims to investigate the possibility of addressing layover issue in forested area by exploiting the unified non-local (NL) filtering of multi-baseline (MB) covariance matrix. To this aim, the performance of non-parametric Capon spectral estimation technique has been analyzed using the NL filtered MB covariance matrix and efficient vertical reflectivity profile reconstruction is demonstrated, which almost addressed the layover issues.

AB - SAR tomography (TomoSAR) allows facing the problem related to the interference of coherent scatterers within the same pixels due to the occurrence of layover. Whereas, full imaging the continuous reflectivity profile along the elevation dimension is a typical framework to deal with the non-coherent volumetric scatterers in the forested area. Layover usually arises in volumetric scenario and leads to discontinuity in the reconstructed vertical reflectivity image. This paper aims to investigate the possibility of addressing layover issue in forested area by exploiting the unified non-local (NL) filtering of multi-baseline (MB) covariance matrix. To this aim, the performance of non-parametric Capon spectral estimation technique has been analyzed using the NL filtered MB covariance matrix and efficient vertical reflectivity profile reconstruction is demonstrated, which almost addressed the layover issues.

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Aghababaee H, Budillon A, Ferraioli G, Pascazio V, Schirinzi G. On the role of non-local filtering in forest vertical structure characterization using SAR tomography. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Fort Worth: IEEE. 2017. p. 6032-6035. 8128385. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2017.8128385

On the role of non-local filtering in forest vertical structure characterization using SAR tomography

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Keywords

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