Knowledge Base & Support
TOPICS
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 Name | LAS/Z code |
|---|---|
| unclassified | 1 |
| ground | 2 |
| vegetation | 5 |
| buildings | 6 |
| low_point | 7 |
| power_lines | 14 |
| transmission_tower | 15 |
| high_noise | 18 |
| vehicles | 64 |
| fences | 65 |
| transmission_tower_top | 145 |
| transmission_tower_bottom | 146 |