Metamodellerin Tarimsal Izlemelerde Kullanilmasi

Onur Yüzügüllü; Esra Erten; Irena Hajnsek

doi:10.1109/SIU.2016.7495730

Metamodellerin Tarimsal Izlemelerde Kullanilmasi

Translated title of the contribution: Using metamodels for agricultural monitoring

Onur Yüzügüllü, Esra Erten, Irena Hajnsek

Department of Geomatics Engineering

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

Abstract

Polarimetric Synthetic Aperture Radar (PolSAR) data is sensitive to physical structure of agricultural crops. In line with this fact radiative transfer theory based backscattering models have been used to explain the complicated interaction between electromagnetic waves and vegetation canopy. However, high degree of computational complexity of such models causes challenging inversion process. In this study, sparse Polynomial Chaos Expansion (PCE) metamodel is used for the inversion and the evaluation of the Global Sensitivity Analysis (GSA) of the model parameters. Finally promising results have been obtained for the estimation of height and diameter of stalks, length and width of leaves and growth stages for X-band PolSAR data.

Translated title of the contribution	Using metamodels for agricultural monitoring
Original language	Turkish
Title of host publication	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	273-276
Number of pages	4
ISBN (Electronic)	9781509016792
DOIs	https://doi.org/10.1109/SIU.2016.7495730
Publication status	Published - 20 Jun 2016
Event	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016

Publication series

Name	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

Conference

Conference	24th Signal Processing and Communication Application Conference, SIU 2016
Country/Territory	Turkey
City	Zonguldak
Period	16/05/16 → 19/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/SIU.2016.7495730

Cite this

Yüzügüllü, O., Erten, E., & Hajnsek, I. (2016). Metamodellerin Tarimsal Izlemelerde Kullanilmasi. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 273-276). Article 7495730 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2016.7495730

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title = "Metamodellerin Tarimsal Izlemelerde Kullanilmasi",

abstract = "Polarimetric Synthetic Aperture Radar (PolSAR) data is sensitive to physical structure of agricultural crops. In line with this fact radiative transfer theory based backscattering models have been used to explain the complicated interaction between electromagnetic waves and vegetation canopy. However, high degree of computational complexity of such models causes challenging inversion process. In this study, sparse Polynomial Chaos Expansion (PCE) metamodel is used for the inversion and the evaluation of the Global Sensitivity Analysis (GSA) of the model parameters. Finally promising results have been obtained for the estimation of height and diameter of stalks, length and width of leaves and growth stages for X-band PolSAR data.",

keywords = "Polarimetry, SAR, metamodel, optimization, plant morphology, precision agriculture monitoring",

author = "Onur Y{\"u}z{\"u}g{\"u}ll{\"u} and Esra Erten and Irena Hajnsek",

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Yüzügüllü, O, Erten, E & Hajnsek, I 2016, Metamodellerin Tarimsal Izlemelerde Kullanilmasi. in 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings., 7495730, 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 273-276, 24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16/05/16. https://doi.org/10.1109/SIU.2016.7495730

Metamodellerin Tarimsal Izlemelerde Kullanilmasi. / Yüzügüllü, Onur; Erten, Esra; Hajnsek, Irena.
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 273-276 7495730 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

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

TY - GEN

T1 - Metamodellerin Tarimsal Izlemelerde Kullanilmasi

AU - Yüzügüllü, Onur

AU - Erten, Esra

AU - Hajnsek, Irena

PY - 2016/6/20

Y1 - 2016/6/20

N2 - Polarimetric Synthetic Aperture Radar (PolSAR) data is sensitive to physical structure of agricultural crops. In line with this fact radiative transfer theory based backscattering models have been used to explain the complicated interaction between electromagnetic waves and vegetation canopy. However, high degree of computational complexity of such models causes challenging inversion process. In this study, sparse Polynomial Chaos Expansion (PCE) metamodel is used for the inversion and the evaluation of the Global Sensitivity Analysis (GSA) of the model parameters. Finally promising results have been obtained for the estimation of height and diameter of stalks, length and width of leaves and growth stages for X-band PolSAR data.

AB - Polarimetric Synthetic Aperture Radar (PolSAR) data is sensitive to physical structure of agricultural crops. In line with this fact radiative transfer theory based backscattering models have been used to explain the complicated interaction between electromagnetic waves and vegetation canopy. However, high degree of computational complexity of such models causes challenging inversion process. In this study, sparse Polynomial Chaos Expansion (PCE) metamodel is used for the inversion and the evaluation of the Global Sensitivity Analysis (GSA) of the model parameters. Finally promising results have been obtained for the estimation of height and diameter of stalks, length and width of leaves and growth stages for X-band PolSAR data.

KW - Polarimetry

KW - SAR

KW - metamodel

KW - optimization

KW - plant morphology

KW - precision agriculture monitoring

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DO - 10.1109/SIU.2016.7495730

M3 - Konferans katkısı

AN - SCOPUS:84982843405

T3 - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

SP - 273

EP - 276

BT - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th Signal Processing and Communication Application Conference, SIU 2016

Y2 - 16 May 2016 through 19 May 2016

ER -

Yüzügüllü O, Erten E, Hajnsek I. Metamodellerin Tarimsal Izlemelerde Kullanilmasi. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 273-276. 7495730. (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). doi: 10.1109/SIU.2016.7495730

Metamodellerin Tarimsal Izlemelerde Kullanilmasi

Abstract

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Bibliographical note

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