Point cloud classification how to?

Hi I tried to use the point cloud classification but it seems like its not doing it these are my settings is there anything else I need to change?

FO]    Initializing ODM 2.7.1 - Sat Jan 22 16:41:43  2022
[INFO]    ==============
[INFO]    auto_boundary: True
[INFO]    boundary: {}
[INFO]    build_overviews: False
[INFO]    camera_lens: auto
[INFO]    cameras: {}
[INFO]    cog: True
[INFO]    copy_to: None
[INFO]    crop: 3
[INFO]    debug: True
[INFO]    dem_decimation: 1
[INFO]    dem_euclidean_map: False
[INFO]    dem_gapfill_steps: 3
[INFO]    dem_resolution: 5
[INFO]    depthmap_resolution: 640
[INFO]    dsm: True
[INFO]    dtm: True
[INFO]    end_with: odm_postprocess
[INFO]    fast_orthophoto: False
[INFO]    feature_quality: ultra
[INFO]    feature_type: sift
[INFO]    force_gps: False
[INFO]    gcp: None
[INFO]    geo: None
[INFO]    gps_accuracy: 10
[INFO]    ignore_gsd: True
[INFO]    matcher_neighbors: 16
[INFO]    matcher_type: flann
[INFO]    max_concurrency: 16
[INFO]    merge: all
[INFO]    mesh_octree_depth: 12
[INFO]    mesh_size: 400000
[INFO]    min_num_features: 20000
[INFO]    name: 7a335c76-ec07-4ca1-a1ad-c2264f2e63e6
[INFO]    optimize_disk_space: False
[INFO]    orthophoto_compression: DEFLATE
[INFO]    orthophoto_cutline: False
[INFO]    orthophoto_kmz: False
[INFO]    orthophoto_no_tiled: False
[INFO]    orthophoto_png: False
[INFO]    orthophoto_resolution: 0.6
[INFO]    pc_classify: True
[INFO]    pc_csv: False
[INFO]    pc_ept: True
[INFO]    pc_filter: 2.5
[INFO]    pc_geometric: True
[INFO]    pc_las: False
[INFO]    pc_quality: ultra
[INFO]    pc_rectify: False
[INFO]    pc_sample: 0
[INFO]    pc_tile: False
[INFO]    primary_band: auto
[INFO]    project_path: /var/www/data
[INFO]    radiometric_calibration: none
[INFO]    rerun: None
[INFO]    rerun_all: False
[INFO]    rerun_from: ['dataset', 'split', 'merge', 'opensfm', 'openmvs', 'odm_filterpoints', 'odm_meshing', 'mvs_texturing', 'odm_georeferencing', 'odm_dem', 'odm_orthophoto', 'odm_report', 'odm_postprocess']
[INFO]    resize_to: -1
[INFO]    sfm_algorithm: incremental
[INFO]    skip_3dmodel: False
[INFO]    skip_band_alignment: False
[INFO]    skip_orthophoto: True
[INFO]    skip_report: True
[INFO]    sm_cluster: None
[INFO]    smrf_scalar: 1.25
[INFO]    smrf_slope: 0.15
[INFO]    smrf_threshold: 0.5
[INFO]    smrf_window: 18.0
[INFO]    split: 999999
[INFO]    split_image_groups: None
[INFO]    split_overlap: 150
[INFO]    texturing_data_term: gmi
[INFO]    texturing_keep_unseen_faces: False
[INFO]    texturing_outlier_removal_type: gauss_clamping
[INFO]    texturing_skip_global_seam_leveling: False
[INFO]    texturing_skip_local_seam_leveling: False
[INFO]    texturing_tone_mapping: none
[INFO]    tiles: False
[INFO]    time: False
[INFO]    use_3dmesh: False
[INFO]    use_exif: False
[INFO]    use_fixed_camera_params: False
[INFO]    use_hybrid_bundle_adjustment: False
[INFO]    verbose: True
1 Like

What do you want it to do?

1 Like

Well on the viewer it shows you can view buildings, vegetation, water, ground etc

so some of that if possible.


It tries to separate buildings/stuff from the ground.
I find CloudCompare to be better at that and it’s also very good for sampling down the point count.

To classify land I thing it’s easier to do a supervised classification in QGis of the raster.

1 Like

You’ll need to tune the smrf variables to change how sensitive it is to classificaiton. Right now, you’ll mostly get ground/unclassified.


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