Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images

Azar Zafari; Raúl Zurita-milla; Emma Izquierdo-verdiguier; Lorenzo Bruzzone; Francesca Bovolo; Jon Atli Benediktsson

doi:10.1117/12.2278421

Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images

Azar Zafari, Raúl Zurita-milla, Emma Izquierdo-verdiguier, Lorenzo Bruzzone, Francesca Bovolo, Jon Atli Benediktsson

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

Original language	English
Title of host publication	Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland
Editors	L. Bruzzone
Publisher	SPIE
Number of pages	12
Volume	10427
DOIs	https://doi.org/10.1117/12.2278421
Publication status	Published - 4 Oct 2017
Event	Image and Signal Processing for Remote Sensing 2017 - DoubleTree by Hilton Hotel & Conference Centre Warsaw, Warsaw, Poland Duration: 11 Sept 2017 → 14 Sept 2017

Publication series

Name	Proceedings of SPIE
Number	10427

Conference

Conference	Image and Signal Processing for Remote Sensing 2017
Country/Territory	Poland
City	Warsaw
Period	11/09/17 → 14/09/17

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10.1117/12.2278421

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10427/2278421/Integrating-support-vector-machines-and-random-forests-to-classify-crops/10.1117/12.2278421.full

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Zafari, A., Zurita-milla, R., Izquierdo-verdiguier, E., Bruzzone, L., Bovolo, F., & Benediktsson, J. A. (2017). Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images. In L. Bruzzone (Ed.), Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland (Vol. 10427). [104270W] (Proceedings of SPIE; No. 10427). SPIE. https://doi.org/10.1117/12.2278421

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author = "Azar Zafari and Ra{\'u}l Zurita-milla and Emma Izquierdo-verdiguier and Lorenzo Bruzzone and Francesca Bovolo and Benediktsson, {Jon Atli}",

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Zafari, A, Zurita-milla, R, Izquierdo-verdiguier, E, Bruzzone, L, Bovolo, F & Benediktsson, JA 2017, Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images. in L Bruzzone (ed.), Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland. vol. 10427, 104270W, Proceedings of SPIE, no. 10427, SPIE, Image and Signal Processing for Remote Sensing 2017, Warsaw, Poland, 11/09/17. https://doi.org/10.1117/12.2278421

Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images. / Zafari, Azar; Zurita-milla, Raúl; Izquierdo-verdiguier, Emma et al.
Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland. ed. / L. Bruzzone. Vol. 10427 SPIE, 2017. 104270W (Proceedings of SPIE; No. 10427).

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

TY - CHAP

T1 - Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images

AU - Zafari, Azar

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AU - Izquierdo-verdiguier, Emma

AU - Bruzzone, Lorenzo

AU - Bovolo, Francesca

AU - Benediktsson, Jon Atli

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M3 - Chapter

VL - 10427

T3 - Proceedings of SPIE

BT - Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland

A2 - Bruzzone, L.

PB - SPIE

T2 - Image and Signal Processing for Remote Sensing 2017

Y2 - 11 September 2017 through 14 September 2017

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Zafari A, Zurita-milla R, Izquierdo-verdiguier E, Bruzzone L, Bovolo F, Benediktsson JA. Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images. In Bruzzone L, editor, Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland. Vol. 10427. SPIE. 2017. 104270W. (Proceedings of SPIE; 10427). doi: 10.1117/12.2278421

Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images

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Crop Classification of Worldview-2 Time Series using Support Vector Machine (SVM) and Random Forest (RF)

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