edit readme

README.md

@@ -8,28 +8,28 @@ It will be manual work, but maybe we can semi-automatize it.
 ### How it works
 
 The process has three steps:  
-1. Putting the tiles onto an SVG-canvas using a python script.  
+1. Putting the tiles onto an SVG-canvas using the `gis-svg-stitcher.py` script.  
    You may want to try around with the settings (scaling, rotation, etc) of the CLI tool until you get a useful SVG.
 2. Manual Editing of the SVG.  
    There are errors in the GPS data and FLIR data.
    Correct them manually using Inkscape or similar Vector Graphics software.
-3. Converting the SVG canvas into a GeoTIFF  
+3. Converting the SVG canvas into a GeoTIFF using the `convert-svg-to-geotiff.py` script.  
    The script produces 16-bit greyscale PNG-Files, representing the temperature, and exports the SVG into a big PNG image.  
    This PNG image gets then projected and converted into a GeoTIFF, using temperature information from the grey-scale value of the PNG 
 
-The two python scripts:
+#### The two python scripts:
 
 * `gis-svg-stitcher.py` for putting the tiles onto an SVG canvas  
   Example usage:
   ```
-  python3 gis-svg-stitcher.py relative_path_to_the_imagefiles --scale=15 --base_rotation=115 --rotation_corr_left=28
+  python3 gis-svg-stitcher.py relative_path/to/the/image_files --scale=15 --base_rotation=115 --rotation_corr_left=28
   ```
   It produces a file called `map.svg`
 
 * `convert-svg-to-geotiff.py` for converting the (edited) SVG canvas 
   Example usage:
   ```
-  python3 convert-svg-to-geotiff.py relative_path_to_the_imagefiles/map.svg output.tiff
+  python3 convert-svg-to-geotiff.py relative_path/to/the/image_files/map.svg output.tiff
   ```