• 3 Citations
  • 1 h-Index
20172019
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Research Output 2017 2019

2019
3 Citations (Scopus)
44 Downloads (Pure)

Evaluating the performance of a Random Forest Kernel for land cover classification

Zafari, A., Zurita-Milla, R. & Izquierdo-Verdiguier, E., 1 Mar 2019, In : Remote sensing. 11, 5, p. 1-20 20 p., 575.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
land cover
support vector machine
vegetation index
AVIRIS
matrix

Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective

Zafari, A., Zurita-Milla, R. & Izquierdo-Verdiguier, E., 28 Nov 2019, In : IEEE geoscience and remote sensing letters. 5 p.

Research output: Contribution to journalLetterAcademicpeer-review

Support vector machines
land cover
Classifiers
smallholder
Parameterization
2018

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

Zafari, A., 29 Nov 2018, p. 3. 1 p.

Research output: Contribution to conferenceAbstractOther research output

land cover
time series
crop
integrated approach
remote sensing
2017

Evaluating the Performance of a Random Forest Kernel for Land Cover Classification: powerpoint

Zafari, A., Zurita-Milla, R. & Izquierdo-Verdiguier, E., Nov 2017, p. s1-s16. 16 p.

Research output: Contribution to conferenceOtherOther research output

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

Zafari, A., Zurita-milla, R., Izquierdo-verdiguier, E., Bruzzone, L., Bovolo, F. & Benediktsson, J. A., 4 Oct 2017, Proceedings of Image and Signal Processing for Remote Sensing XXIII, 11-14 September 2017, Warsaw, Poland. Bruzzone, L. (ed.). SPIE - The International Society for Optical Engineering, Vol. 10427. 12 p. 104270W. (Proceedings of SPIE; no. 10427).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review