Keep confidence channel as unsignec char (Reliability in TS) (#85)

configs/data_format/default.yaml

@@ -5,6 +5,7 @@ las_dimensions:
   terrascan_normal: Normal
   terrascan_distance: Distance
   terrascan_deviation: Deviation
+  terrascan_reliability: confidence  # Appears as "Reliability" in TerraScan. Unsigned char according to LASinfo.
 
   # Extra dims
   # ATTENTION: If extra dimensions are added, you may want to add them in cleaning.in parameter as well.
@@ -69,6 +70,7 @@ cleaning:
       - "${data_format.las_dimensions.terrascan_normal}=uint"
       - "${data_format.las_dimensions.terrascan_distance}=int"
       - "${data_format.las_dimensions.terrascan_deviation}=ushort"
+      - "${data_format.las_dimensions.terrascan_reliability}=uchar"
       # - "${data_format.las_dimensions.ai_vegetation_proba}=float"
       # - "${data_format.las_dimensions.ai_unclassified_proba}=float"
   output_building:
@@ -83,6 +85,7 @@ cleaning:
       - "${data_format.las_dimensions.terrascan_normal}=uint"
       - "${data_format.las_dimensions.terrascan_distance}=int"
       - "${data_format.las_dimensions.terrascan_deviation}=ushort"
+      - "${data_format.las_dimensions.terrascan_reliability}=uchar"
       # - "${data_format.las_dimensions.ai_vegetation_unclassified_groups}=uint"
   input_vegetation_unclassified:
     # Extra dims added for storing the result of the vegetation/unclassified detection.

package_metadata.yaml

@@ -1,4 +1,4 @@
-__version__: "M11.1V1.9.7"
+__version__: "M11.1V1.9.8"
 __name__: "lidar_prod"
 __url__: "https://github.com/IGNF/lidar-prod-quality-control"
 __description__: "A 3D semantic segmentation production tool to augment rule- based Lidar classification with AI and databases."