From b72c6afa9234601d8ff7e2fde0afcba9c8a4b194 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Valentin=20=C8=98tefan?= Date: Fri, 7 Oct 2022 08:44:41 +0200 Subject: [PATCH] Update readme.md --- readme.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/readme.md b/readme.md index 55ecb3f..193e568 100644 --- a/readme.md +++ b/readme.md @@ -1,6 +1,12 @@ +[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7155593.svg)](https://doi.org/10.5281/zenodo.7155593) + 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]. -View page at https://valentinitnelav.github.io/satellite-image-classification-r/ +This repository is rendered as a web page at https://valentinitnelav.github.io/satellite-image-classification-r/ + +If this work was helpful in any way and you like to cite it, you can do so like: + +> Valentin Ștefan. (2019). Exercise with pixel based supervised classification of Sentinel-2 multispectral images in R. Comparing Random Forests, SVM and Neural Networks. Zenodo. https://doi.org/10.5281/zenodo.7155593 [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