Global sensitivity analysis of a morphology based electromagnetic scattering model

Onur Yuzugullu; Stefano Marelli; Esra Erten; Bruno Sudret; Irena Hajnsek

doi:10.1109/IGARSS.2015.7326381

Global sensitivity analysis of a morphology based electromagnetic scattering model

Onur Yuzugullu, Stefano Marelli, Esra Erten, Bruno Sudret, Irena Hajnsek

Department of Geomatics Engineering

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

15 Citations (Scopus)

Abstract

Remote sensing techniques with Synthetic Aperture Radar (SAR) provides detailed information of the electromagnetic scattering behaviour of their targets. It is broadly used for agricultural monitoring due to their all-weather acquisition possibility. Based on the nature of SAR systems, they are known to be sensitive to physical changes in the targets, such as plant growth. An uncertainty analysis for a plant morphology based electromagnetic scattering model is assessed in this study. The global sensitiveness of the model to the input variables are tested with respect to their total Sobol' indices. This helps to understand the parameters for each growth stage and polarization channel, which can be used to reduce the complexity of the scattering model.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2743-2746
Number of pages	4
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7326381
Publication status	Published - 10 Nov 2015
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2015-November

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/Territory	Italy
City	Milan
Period	26/07/15 → 31/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

agriculture
growth stage
paddy rice
Polarimetric Synthetic Aperture Radar (PolSAR)
Sobol' indices
uncertainty

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10.1109/IGARSS.2015.7326381

Cite this

Yuzugullu, O., Marelli, S., Erten, E., Sudret, B., & Hajnsek, I. (2015). Global sensitivity analysis of a morphology based electromagnetic scattering model. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 2743-2746). Article 7326381 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7326381

Yuzugullu, Onur ; Marelli, Stefano ; Erten, Esra et al. / Global sensitivity analysis of a morphology based electromagnetic scattering model. 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2743-2746 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Global sensitivity analysis of a morphology based electromagnetic scattering model",

abstract = "Remote sensing techniques with Synthetic Aperture Radar (SAR) provides detailed information of the electromagnetic scattering behaviour of their targets. It is broadly used for agricultural monitoring due to their all-weather acquisition possibility. Based on the nature of SAR systems, they are known to be sensitive to physical changes in the targets, such as plant growth. An uncertainty analysis for a plant morphology based electromagnetic scattering model is assessed in this study. The global sensitiveness of the model to the input variables are tested with respect to their total Sobol' indices. This helps to understand the parameters for each growth stage and polarization channel, which can be used to reduce the complexity of the scattering model.",

keywords = "agriculture, growth stage, paddy rice, Polarimetric Synthetic Aperture Radar (PolSAR), Sobol' indices, uncertainty",

author = "Onur Yuzugullu and Stefano Marelli and Esra Erten and Bruno Sudret and Irena Hajnsek",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",

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Yuzugullu, O, Marelli, S, Erten, E, Sudret, B & Hajnsek, I 2015, Global sensitivity analysis of a morphology based electromagnetic scattering model. in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings., 7326381, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 2743-2746, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7326381

Global sensitivity analysis of a morphology based electromagnetic scattering model. / Yuzugullu, Onur; Marelli, Stefano; Erten, Esra et al.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2743-2746 7326381 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November).

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

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AU - Marelli, Stefano

AU - Erten, Esra

AU - Sudret, Bruno

AU - Hajnsek, Irena

PY - 2015/11/10

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AB - Remote sensing techniques with Synthetic Aperture Radar (SAR) provides detailed information of the electromagnetic scattering behaviour of their targets. It is broadly used for agricultural monitoring due to their all-weather acquisition possibility. Based on the nature of SAR systems, they are known to be sensitive to physical changes in the targets, such as plant growth. An uncertainty analysis for a plant morphology based electromagnetic scattering model is assessed in this study. The global sensitiveness of the model to the input variables are tested with respect to their total Sobol' indices. This helps to understand the parameters for each growth stage and polarization channel, which can be used to reduce the complexity of the scattering model.

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KW - growth stage

KW - paddy rice

KW - Polarimetric Synthetic Aperture Radar (PolSAR)

KW - Sobol' indices

KW - uncertainty

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Yuzugullu O, Marelli S, Erten E, Sudret B, Hajnsek I. Global sensitivity analysis of a morphology based electromagnetic scattering model. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2743-2746. 7326381. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2015.7326381

Global sensitivity analysis of a morphology based electromagnetic scattering model

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