Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575

Zafari, Azar; Zurita-Milla, Raul; Izquierdo-Verdiguier, Emma

doi:10.3390/rs11121489

Open AccessCorrection

Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575

by

Azar Zafari

^1,*

,

Raul Zurita-Milla

¹

and

Emma Izquierdo-Verdiguier

²

¹

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands

²

Institute for Surveying, Remote Sensing and Land Information (IVFL), University of Natural Resources and Life Science (BOKU), A-1190 Vienna, Austria

^*

Author to whom correspondence should be addressed.

Remote Sens. 2019, 11(12), 1489; https://doi.org/10.3390/rs11121489

Submission received: 12 June 2019 / Accepted: 19 June 2019 / Published: 24 June 2019

(This article belongs to the Special Issue Remote Sensing in Support of Transforming Smallholder Agriculture)

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Versions Notes

The authors wish to make the following correction to the paper [1]: Figure 6 is incomplete and should be replaced by the one below:

Figure 6. Classification time required by SVM classifiers.

This change does not affect the scientific results and discussion. We apologize for any inconvenience caused to the readers.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Reference

Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sens. 2019, 11, 575. [Google Scholar] [CrossRef]

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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MDPI and ACS Style

Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575. Remote Sens. 2019, 11, 1489. https://doi.org/10.3390/rs11121489

AMA Style

Zafari A, Zurita-Milla R, Izquierdo-Verdiguier E. Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575. Remote Sensing. 2019; 11(12):1489. https://doi.org/10.3390/rs11121489

Chicago/Turabian Style

Zafari, Azar, Raul Zurita-Milla, and Emma Izquierdo-Verdiguier. 2019. "Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575" Remote Sensing 11, no. 12: 1489. https://doi.org/10.3390/rs11121489

APA Style

Zafari, A., Zurita-Milla, R., & Izquierdo-Verdiguier, E. (2019). Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575. Remote Sensing, 11(12), 1489. https://doi.org/10.3390/rs11121489

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Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575

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