Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi

Onur Yüzügüllü; Esra Erten; M. Zehra Şahin; Irena Hajnsek

doi:10.1109/SIU.2018.8404582

Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi

Onur Yüzügüllü
, Esra Erten
, M. Zehra Şahin
, Irena Hajnsek

Harita Mühendisliği Bölümü

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

Özet

The development of plants in rice fields has been monitored for years with remote sensing. The current trend in remote sensing research is towards precision agriculture, which aims to provide vitality information of plants in meter-scale resolution. Polarimetric Synthetic Aperture Radar (PolSAR) plays a significant role in rice monitoring by relating the plant morphology to scattering behavior of electromagnetic waves. This relation can be used to improve rice monitoring applications by making the estimation of detailed plant morphology possible. In this study, we present the stochastic optimization of a metamodel-driven electromagnetic scattering model. This study involves the estimation accuracies for stalk height, leaf length and leaf width using co-polar TerraSAR-X data. The results that have been obtained are found to be successful for stalk height and leaf length with R² higher than 0.78 from the in-situ measured values.

Tercüme edilen katkı başlığı	Determination of rice plant morphology by stochastic optimization using X-band polsar data
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1-4
Sayfa sayısı	4
ISBN (Elektronik)	9781538615010
DOI'lar	https://doi.org/10.1109/SIU.2018.8404582
Yayın durumu	Yayınlandı - 5 Tem 2018
Etkinlik	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Süre: 2 May 2018 → 5 May 2018

Yayın serisi

Adı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

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

???event.eventtypes.event.conference???	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	2/05/18 → 5/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

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Keywords

Crop monitoring
Metamodel
Polarimetry
SAR
Scattering models
Stochastic optimization

Belgeye Erişim

10.1109/SIU.2018.8404582

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yüzügüllü, O., Erten, E., Şahin, M. Z., & Hajnsek, I. (2018). Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404582

Yüzügüllü, Onur ; Erten, Esra ; Şahin, M. Zehra et al. / Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

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abstract = "The development of plants in rice fields has been monitored for years with remote sensing. The current trend in remote sensing research is towards precision agriculture, which aims to provide vitality information of plants in meter-scale resolution. Polarimetric Synthetic Aperture Radar (PolSAR) plays a significant role in rice monitoring by relating the plant morphology to scattering behavior of electromagnetic waves. This relation can be used to improve rice monitoring applications by making the estimation of detailed plant morphology possible. In this study, we present the stochastic optimization of a metamodel-driven electromagnetic scattering model. This study involves the estimation accuracies for stalk height, leaf length and leaf width using co-polar TerraSAR-X data. The results that have been obtained are found to be successful for stalk height and leaf length with R2 higher than 0.78 from the in-situ measured values.",

keywords = "Crop monitoring, Metamodel, Polarimetry, SAR, Scattering models, Stochastic optimization",

author = "Onur Y{\"u}z{\"u}g{\"u}ll{\"u} and Esra Erten and {\c S}ahin, \{M. Zehra\} and Irena Hajnsek",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 ; Conference date: 02-05-2018 Through 05-05-2018",

year = "2018",

month = jul,

day = "5",

doi = "10.1109/SIU.2018.8404582",

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Yüzügüllü, O, Erten, E, Şahin, MZ & Hajnsek, I 2018, Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 2/05/18. https://doi.org/10.1109/SIU.2018.8404582

Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi. / Yüzügüllü, Onur; Erten, Esra; Şahin, M. Zehra et al.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

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

TY - GEN

T1 - Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi

AU - Yüzügüllü, Onur

AU - Erten, Esra

AU - Şahin, M. Zehra

AU - Hajnsek, Irena

PY - 2018/7/5

Y1 - 2018/7/5

N2 - The development of plants in rice fields has been monitored for years with remote sensing. The current trend in remote sensing research is towards precision agriculture, which aims to provide vitality information of plants in meter-scale resolution. Polarimetric Synthetic Aperture Radar (PolSAR) plays a significant role in rice monitoring by relating the plant morphology to scattering behavior of electromagnetic waves. This relation can be used to improve rice monitoring applications by making the estimation of detailed plant morphology possible. In this study, we present the stochastic optimization of a metamodel-driven electromagnetic scattering model. This study involves the estimation accuracies for stalk height, leaf length and leaf width using co-polar TerraSAR-X data. The results that have been obtained are found to be successful for stalk height and leaf length with R2 higher than 0.78 from the in-situ measured values.

AB - The development of plants in rice fields has been monitored for years with remote sensing. The current trend in remote sensing research is towards precision agriculture, which aims to provide vitality information of plants in meter-scale resolution. Polarimetric Synthetic Aperture Radar (PolSAR) plays a significant role in rice monitoring by relating the plant morphology to scattering behavior of electromagnetic waves. This relation can be used to improve rice monitoring applications by making the estimation of detailed plant morphology possible. In this study, we present the stochastic optimization of a metamodel-driven electromagnetic scattering model. This study involves the estimation accuracies for stalk height, leaf length and leaf width using co-polar TerraSAR-X data. The results that have been obtained are found to be successful for stalk height and leaf length with R2 higher than 0.78 from the in-situ measured values.

KW - Crop monitoring

KW - Metamodel

KW - Polarimetry

KW - SAR

KW - Scattering models

KW - Stochastic optimization

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DO - 10.1109/SIU.2018.8404582

M3 - Konferans katkısı

AN - SCOPUS:85050797675

T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

SP - 1

EP - 4

BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Y2 - 2 May 2018 through 5 May 2018

ER -

Yüzügüllü O, Erten E, Şahin MZ, Hajnsek I. Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). doi: 10.1109/SIU.2018.8404582

Çeltik bitki morfolojisinin x-band polsar verisi kullanilarak stokastik optimizasyon ile belirlenmesi

Özet

Yayın serisi

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

Bibliyografik not

BM SKH

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap