Update README.md

README.md

@@ -124,9 +124,14 @@ For inference, a preprocessing as close as possible should be used. Refer to the
   * random sampling: 40,000 (if higher)
   * horizontal normalization: mean xy substraction
   * vertical normalization: min z substraction
-  * coordinates normalization: 25 meters division
-  * occlusion: nullify color channels if echo_number > 1
-  * 
+  * coordinates normalization: division by 25 meters
+  * basic occlusion model: nullify color channels if echo_number > 1
+  * features scaling (0-1 range):
+    * echo number and number of echos: division by 7
+    * color (r, g, b, near-infrared, average color): division by 65280 (i.e. 255*256)
+  * features normalization:
+    * reflectance: log-normalization, standardization, clipping of amplitude above 3 standard deviations.
+    * average color: same as reflectance. 
 * Batch size: 10
 * Number of epochs : 100 (min) - 150 (max)
 * Early stopping : patience 6 and val_loss as monitor criterium