Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery

M. F. Celik; O. Yuzugullu; E. Erten

doi:10.1109/IGARSS.2018.8651417

Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery

M. F. Celik
, O. Yuzugullu
, E. Erten

Harita Mühendisliği Bölümü

Istanbul Technical University
AgriCircle AG
Open University Milton Keynes

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

1 Atıf (Scopus)

Özet

Crop phenology monitoring using Synthetic Aperture Radar (SAR) data is gaining popularity within the remote sensing community due to SAR's all weather and large coverage imaging capability. This paper introduces a polynomial chaos expansion (PCE) based regression algorithm to retrieve BBCH scale of crops, which identifies the phenology of crops in a standardized system. The impact and applicability of the proposed methodology is successfully illustrated using the TerraSAR-X dual-pol imagery that was acquired over the cultivation period of paddy-rice fields located in Turkey. To assess the applicability of the methodology, root mean square and correlation analysis were performed under different amount of training data and number of inputs.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	9363-9366
Sayfa sayısı	4
ISBN (Elektronik)	9781538671504
DOI'lar	https://doi.org/10.1109/IGARSS.2018.8651417
Yayın durumu	Yayınlandı - 31 Eki 2018
Etkinlik	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Süre: 22 Tem 2018 → 27 Tem 2018

Yayın serisi

Adı	International Geoscience and Remote Sensing Symposium (IGARSS)
Hacim	2018-July

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

???event.eventtypes.event.conference???	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Ülke/Bölge	Spain
Şehir	Valencia
Periyot	22/07/18 → 27/07/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

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Belgeye Erişim

10.1109/IGARSS.2018.8651417

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Celik, M. F., Yuzugullu, O., & Erten, E. (2018). Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 9363-9366). Makale 8651417 (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8651417

Celik, M. F. ; Yuzugullu, O. ; Erten, E. / Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 9363-9366 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{a4458d7964cb48f1a7222dca847187eb,

title = "Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery",

abstract = "Crop phenology monitoring using Synthetic Aperture Radar (SAR) data is gaining popularity within the remote sensing community due to SAR's all weather and large coverage imaging capability. This paper introduces a polynomial chaos expansion (PCE) based regression algorithm to retrieve BBCH scale of crops, which identifies the phenology of crops in a standardized system. The impact and applicability of the proposed methodology is successfully illustrated using the TerraSAR-X dual-pol imagery that was acquired over the cultivation period of paddy-rice fields located in Turkey. To assess the applicability of the methodology, root mean square and correlation analysis were performed under different amount of training data and number of inputs.",

keywords = "Crop phenology, Metamodels, Monitoring, Optimization, Polarimetry, Precision agriculture, SAR",

author = "Celik, \{M. F.\} and O. Yuzugullu and E. Erten",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "31",

doi = "10.1109/IGARSS.2018.8651417",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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

pages = "9363--9366",

booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",

address = "United States",

}

Celik, MF, Yuzugullu, O & Erten, E 2018, Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8651417, International Geoscience and Remote Sensing Symposium (IGARSS), hac. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 9363-9366, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8651417

Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. / Celik, M. F.; Yuzugullu, O.; Erten, E.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 9363-9366 8651417 (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 2018-July).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery

AU - Celik, M. F.

AU - Yuzugullu, O.

AU - Erten, E.

PY - 2018/10/31

Y1 - 2018/10/31

N2 - Crop phenology monitoring using Synthetic Aperture Radar (SAR) data is gaining popularity within the remote sensing community due to SAR's all weather and large coverage imaging capability. This paper introduces a polynomial chaos expansion (PCE) based regression algorithm to retrieve BBCH scale of crops, which identifies the phenology of crops in a standardized system. The impact and applicability of the proposed methodology is successfully illustrated using the TerraSAR-X dual-pol imagery that was acquired over the cultivation period of paddy-rice fields located in Turkey. To assess the applicability of the methodology, root mean square and correlation analysis were performed under different amount of training data and number of inputs.

AB - Crop phenology monitoring using Synthetic Aperture Radar (SAR) data is gaining popularity within the remote sensing community due to SAR's all weather and large coverage imaging capability. This paper introduces a polynomial chaos expansion (PCE) based regression algorithm to retrieve BBCH scale of crops, which identifies the phenology of crops in a standardized system. The impact and applicability of the proposed methodology is successfully illustrated using the TerraSAR-X dual-pol imagery that was acquired over the cultivation period of paddy-rice fields located in Turkey. To assess the applicability of the methodology, root mean square and correlation analysis were performed under different amount of training data and number of inputs.

KW - Crop phenology

KW - Metamodels

KW - Monitoring

KW - Optimization

KW - Polarimetry

KW - Precision agriculture

KW - SAR

UR - https://www.scopus.com/pages/publications/85063136103

U2 - 10.1109/IGARSS.2018.8651417

DO - 10.1109/IGARSS.2018.8651417

M3 - Conference contribution

AN - SCOPUS:85063136103

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 9363

EP - 9366

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

Y2 - 22 July 2018 through 27 July 2018

ER -

Celik MF, Yuzugullu O, Erten E. Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 9363-9366. 8651417. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8651417

Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery

Özet

Yayın serisi

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

Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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