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valentinitnelav · Apr 2, 2019 · b0d8115 · b0d8115
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+This repository is a sandbox for experimenting with the R [caret][caret] package - using *Random Forests*, *Support Vector Machines* and *Neural Networks* for a classic [pixel based][px-b] [supervised classification][sup-cl]/[supervised learning][sup-ln] of [Sentinel-2 multispectral images][s2].
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+**View page at https://valentinitnelav.github.io/satellite-image-classification-r/ **
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+[caret]: https://cran.r-project.org/web/packages/caret/index.html
+[px-b]: https://gis.stackexchange.com/questions/237461/distinction-between-pixel-based-and-object-based-classification
+[sup-cl]: https://articles.extension.org/pages/40214/whats-the-difference-between-a-supervised-and-unsupervised-image-classification
+[sup-ln]: https://stackoverflow.com/questions/1832076/what-is-the-difference-between-supervised-learning-and-unsupervised-learning
+[s2]: https://sentinel.esa.int/web/sentinel/missions/sentinel-2
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