Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini

Z. Meltem Sahin; Esra Erten; Nebiye Musaoglu; D. Ekin Canbay; Gulsen Kaya

doi:10.1109/SIU.2018.8404409

Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini

Z. Meltem Sahin, Esra Erten, Nebiye Musaoglu, D. Ekin Canbay, Gulsen Kaya

Istanbul Technical University

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

Özet

Estimation of biophysical parameters based on regression models is of interest for the remote sensing community since it is one of the key elements for agricultural purposes. Numerically, this problem is solved separately for each biophysical parameter such as Leaf Area Index-LAI, soil moisture, crop height and etc. However, this approach ignores tight relationship among the biophysical parameters, which is essential for driving estimation performance with a limited number of in-situ measurements. As an alternative strategy, a multi-target regression, which also learns the relationship among biophysical parameters in regression model, is considered. In order to see how multitarget regression models capture plausible physical relationship between crop's biophysical parameters and polarimetric features, RadarSAT-2 images acquired over agriculture fields in the context of AgriSAR 2009 campaign were used.

Tercüme edilen katkı başlığı	Using single-and multi-target regression to estimate biophysical parameters of crops
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.2018.8404409
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.

Keywords

Biophysical parameter estimation
Multi-output SVM
Polarimetry
Precision agriculture
RadarSAT-2
SAR

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1109/SIU.2018.8404409

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Sahin, Z. M., Erten, E., Musaoglu, N., Canbay, D. E., & Kaya, G. (2018). Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini. 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.2018.8404409

Sahin, Z. Meltem ; Erten, Esra ; Musaoglu, Nebiye et al. / Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini. 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).

@inproceedings{671832366c6f4d0f9f1a56a4049443c3,

title = "Tek ve {\c C}ok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini",

abstract = "Estimation of biophysical parameters based on regression models is of interest for the remote sensing community since it is one of the key elements for agricultural purposes. Numerically, this problem is solved separately for each biophysical parameter such as Leaf Area Index-LAI, soil moisture, crop height and etc. However, this approach ignores tight relationship among the biophysical parameters, which is essential for driving estimation performance with a limited number of in-situ measurements. As an alternative strategy, a multi-target regression, which also learns the relationship among biophysical parameters in regression model, is considered. In order to see how multitarget regression models capture plausible physical relationship between crop's biophysical parameters and polarimetric features, RadarSAT-2 images acquired over agriculture fields in the context of AgriSAR 2009 campaign were used.",

keywords = "Biophysical parameter estimation, Multi-output SVM, Polarimetry, Precision agriculture, RadarSAT-2, SAR",

author = "Sahin, {Z. Meltem} and Esra Erten and Nebiye Musaoglu and Canbay, {D. Ekin} and Gulsen Kaya",

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.2018.8404409",

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

series = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

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

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booktitle = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

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Sahin, ZM, Erten, E , Musaoglu, N, Canbay, DE & Kaya, G 2018, Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini. 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.2018.8404409

Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini. / Sahin, Z. Meltem; Erten, Esra ; Musaoglu, Nebiye 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 - Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini

AU - Sahin, Z. Meltem

AU - Erten, Esra

AU - Musaoglu, Nebiye

AU - Canbay, D. Ekin

AU - Kaya, Gulsen

PY - 2018/7/5

Y1 - 2018/7/5

N2 - Estimation of biophysical parameters based on regression models is of interest for the remote sensing community since it is one of the key elements for agricultural purposes. Numerically, this problem is solved separately for each biophysical parameter such as Leaf Area Index-LAI, soil moisture, crop height and etc. However, this approach ignores tight relationship among the biophysical parameters, which is essential for driving estimation performance with a limited number of in-situ measurements. As an alternative strategy, a multi-target regression, which also learns the relationship among biophysical parameters in regression model, is considered. In order to see how multitarget regression models capture plausible physical relationship between crop's biophysical parameters and polarimetric features, RadarSAT-2 images acquired over agriculture fields in the context of AgriSAR 2009 campaign were used.

AB - Estimation of biophysical parameters based on regression models is of interest for the remote sensing community since it is one of the key elements for agricultural purposes. Numerically, this problem is solved separately for each biophysical parameter such as Leaf Area Index-LAI, soil moisture, crop height and etc. However, this approach ignores tight relationship among the biophysical parameters, which is essential for driving estimation performance with a limited number of in-situ measurements. As an alternative strategy, a multi-target regression, which also learns the relationship among biophysical parameters in regression model, is considered. In order to see how multitarget regression models capture plausible physical relationship between crop's biophysical parameters and polarimetric features, RadarSAT-2 images acquired over agriculture fields in the context of AgriSAR 2009 campaign were used.

KW - Biophysical parameter estimation

KW - Multi-output SVM

KW - Polarimetry

KW - Precision agriculture

KW - RadarSAT-2

KW - SAR

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U2 - 10.1109/SIU.2018.8404409

DO - 10.1109/SIU.2018.8404409

M3 - Konferans katkısı

AN - SCOPUS:85050818322

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 -

Sahin ZM, Erten E , Musaoglu N, Canbay DE, Kaya G. Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini. 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.2018.8404409

Tek ve Çok Hedefli Regresyon Analizi ile Ekinlerin Biyofiziksel Parametrelerinin Tahmini

Özet

Yayın serisi

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

Bibliyografik not

Keywords

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap