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

Translated title of the contribution: Determination of rice plant morphology by stochastic optimization using X-band polsar data

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

Department of Geomatics Engineering

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

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.

Translated title of the contribution	Determination of rice plant morphology by stochastic optimization using X-band polsar data
Original language	Turkish
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404582
Publication status	Published - 5 Jul 2018
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018

Publication series

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

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	2/05/18 → 5/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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

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10.1109/SIU.2018.8404582

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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",

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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).

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

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AU - Şahin, M. Zehra

AU - Hajnsek, Irena

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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.

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KW - Scattering models

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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

Abstract

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