added links to published paper

Author: samarinm

README.md

@@ -1,20 +1,21 @@
-# Segmentation of Soil Erosion
+# Semantic Segmentation of Soil Erosion Sites
 
 This repository contains a basic implementation for segmenting soil erosion sites on aerial imagery 
-with a U-Net. The code was developped in the context of our paper on "**Identifying Soil Erosion Processes 
-in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network**" (currently under review 
-in Remote Sensing).
+with a U-Net. The code was developped in the context of our paper on "[**Identifying Soil Erosion Processes 
+in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network**](https://www.mdpi.com/2072-4292/12/24/4149)" (*Remote Sensing*, 2020).
 
+![U-Net for Soil Erosion Segmentation](https://www.mdpi.com/remotesensing/remotesensing-12-04149/article_deploy/html/images/remotesensing-12-04149-g005.png "U-Net for Soil Erosion Segmentation")
+This image is available under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) (author: Maxim Samarin); please cite reference below. 
 
 
-## Setup your environment 
+## Set up your environment 
 
-Our implementation is written in Python (3.6) and uses TensorFlow (V1.10). If you use the 
+Our implementation is written in Python (3.6) and uses TensorFlow (version 1.10). If you use the 
 [Anaconda distribution](https://www.anaconda.com/) (recommended), you can set up your local environment by executing
 
 ```conda env create -f requirements.yml``` 
 
-or, for execution on a GPU (recommended), 
+or, in case you use a GPU (recommended), 
 
 
 ```conda env create -f requirements_gpu.yml``` 
@@ -43,7 +44,13 @@ cite our paper:
 @article{SamarinZweifel2020,
   title={Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network},
   author={Samarin*, Maxim and Zweifel*, Lauren and Roth, Volker and Alewell, Christine},
-  journal={Under review in Remote Sensing},
+  journal={Remote Sensing},
+  volume={12},
+  number={24},
+  pages={4149},
   year={2020},
+  publisher={Multidisciplinary Digital Publishing Institute}
 }
-```
+```
+
+![Graphical Abstract](https://www.mdpi.com/remotesensing/remotesensing-12-04149/article_deploy/html/images/remotesensing-12-04149-ag.png "Graphical Abstract")