cars.applications.rasterization.simple_gaussian

this module contains the dense_matching application class.

Module Contents

Classes

SimpleGaussian

PointsCloudRasterisation

Functions

rasterization_wrapper(cloud, resolution, epsg, window, ...)

Wrapper for rasterization step :

class cars.applications.rasterization.simple_gaussian.SimpleGaussian(conf=None)

Bases: cars.applications.rasterization.point_cloud_rasterization.PointCloudRasterization

PointsCloudRasterisation

check_conf(conf)

Check configuration

Parameters

conf (dict) – configuration to check

Returns

overloaded configuration

Return type

dict

get_resolution()

get_margins()

run(merged_points_cloud, epsg, orchestrator=None, dsm_file_name=None, color_file_name=None)

Run PointsCloudRasterisation application.

Creates a CarsDataset filled with dsm tiles.

Parameters

• merged_points_cloud (CarsDataset filled with pandas.DataFrame) –

  merged point cloud. CarsDataset contains:

  • Z x W Delayed tiles. Each tile will be a future pandas DataFrame containing:

    • data with keys “x”, “y”, “z”, “corr_msk” optional: “clr”, “msk”, “data_valid”, “coord_epi_geom_i”, “coord_epi_geom_j”,”idx_im_epi”

    • attrs with keys “epsg”, “ysize”, “xsize”, “xstart”, “ystart”

  • attributes contraining “bounds”, “ysize”, “xsize”, “epsg”

• epsg (str) – epsg of raster data

• orchestrator – orchestrator used

• dsm_file_name (str) – path of dsm

• color_file_name (str) – path of color

Returns

raster DSM. CarsDataset contains:

• Z x W Delayed tiles. Each tile will be a future xarray Dataset containing:

  • data : with keys : “hgt”, “img”, “raster_msk”,optional : “n_pts”, “pts_in_cell”, “hgt_mean”, “hgt_stdev”

  • attrs with keys: “epsg”

• attributes contraining: None

:rtype : CarsDataset filled with xr.Dataset

cars.applications.rasterization.simple_gaussian.rasterization_wrapper(cloud, resolution, epsg, window, profile, saving_info=None, **kwargs)

Wrapper for rasterization step : - Convert a list of clouds to correct epsg - Rasterize it with associated colors

Parameters

• cloud (pandas.DataFrame) – combined cloud

• resolution (float) – Produced DSM resolution (meter, degree [EPSG dependent])

• epsg_code (int) – epsg code for the CRS of the output DSM

• window (int) – Window considered

• profile (dict) – rasterio profile

• saving_info (dict) – informations about CarsDataset ID.

Returns

digital surface model + projected colors

Return type

xr.Dataset