Metamodellerin Tarimsal Izlemelerde Kullanilmasi

Onur Yüzügüllü; Esra Erten; Irena Hajnsek

doi:10.1109/SIU.2016.7495730

Metamodellerin Tarimsal Izlemelerde Kullanilmasi

Onur Yüzügüllü
, Esra Erten
, Irena Hajnsek

Harita Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Tercüme edilen katkı başlığı	Using metamodels for agricultural monitoring
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	273-276
Sayfa sayısı	4
ISBN (Elektronik)	9781509016792
DOI'lar	https://doi.org/10.1109/SIU.2016.7495730
Yayın durumu	Yayınlandı - 20 Haz 2016
Etkinlik	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Süre: 16 May 2016 → 19 May 2016

Yayın serisi

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

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???event.eventtypes.event.conference???	24th Signal Processing and Communication Application Conference, SIU 2016
Ülke/Bölge	Turkey
Şehir	Zonguldak
Periyot	16/05/16 → 19/05/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

BM SKH

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Keywords

Polarimetry
SAR
metamodel
optimization
plant morphology
precision agriculture monitoring

Belgeye Erişim

10.1109/SIU.2016.7495730

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 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",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",

year = "2016",

month = jun,

day = "20",

doi = "10.1109/SIU.2016.7495730",

language = "T{\"u}rk{\c c}e",

series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "273--276",

booktitle = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

address = "United States",

}

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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

UR - https://www.scopus.com/pages/publications/84982843405

U2 - 10.1109/SIU.2016.7495730

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap