Point Cloud Canopy Segmentation

OPTICS/DBSCAN point cloud canopy cluster: Normalized point cloud >> Nonground points (> 1m HAG) >> Vegetation clusters (clustered using OPTICS)

Watershed method clusters:

^^Tends to over-segment in shrubby environment

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
__pycache__		__pycache__
figures		figures
raster		raster
.gitignore		.gitignore
0]		0]
DBSCAN_Segment_Canopy.py		DBSCAN_Segment_Canopy.py
OPTICS_Cluster_from_csv.py		OPTICS_Cluster_from_csv.py
OPTICS_Cluster_from_csv_auto_extract.py		OPTICS_Cluster_from_csv_auto_extract.py
OPTICS_Segment_Canopy_from_csv.py		OPTICS_Segment_Canopy_from_csv.py
OPTICS_example.ipynb		OPTICS_example.ipynb
README.md		README.md
Segment_Canopy.py		Segment_Canopy.py
adding OPTICS to scitkit learn.sh		adding OPTICS to scitkit learn.sh
find_nonground_points.R		find_nonground_points.R
graph_OPTICS_clusters.R		graph_OPTICS_clusters.R
graph_OPTICS_clusters.py		graph_OPTICS_clusters.py
plot.py		plot.py
run_OPTICS.sh		run_OPTICS.sh
setup_OPTICS_venv.sh		setup_OPTICS_venv.sh
test.py		test.py

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