Knowledge Base & Support

Aerial Mapping Classification Model

 

Description

This is a general classification model that finds typical objects that are required for segmenting aerial data into different classes for management and mapping purposes.

Optimal Scene

Large scale aerial coverage of regions

Optimal Scanner Type

Aerial laser scan or photogrammetric point cloud data

Optimal Average Point Spacing

350 mm or closer

Current Model Name

outdoor_aerial_mapping

 

Examples

 

Class List

 

Class NameLAS/Z code
unclassified1
ground2
vegetation5
buildings6
low_point7
power_lines14
transmission_tower15
high_noise18
vehicles64
fences65
transmission_tower_top145
transmission_tower_bottom146