xdem.coreg.CoregPipeline#

class xdem.coreg.CoregPipeline(pipeline)[source]#

A sequential set of co-registration processing steps.

__init__(pipeline)[source]#

Instantiate a new processing pipeline.

Param:

Processing steps to run in the sequence they are given.

Methods

__init__(pipeline)

Instantiate a new processing pipeline.

apply(dem[, transform, crs, bias_vars, resample])

Apply the estimated transform to a DEM.

apply_pts(coords)

Apply the estimated transform to a set of 3D points.

copy()

Return an identical copy of the class.

error(reference_dem, dem_to_be_aligned[, ...])

Calculate the error of a coregistration approach.

fit(reference_dem, dem_to_be_aligned[, ...])

Estimate the coregistration transform on the given DEMs.

fit_pts(reference_dem, dem_to_be_aligned[, ...])

Estimate the coregistration transform between a DEM and a reference point elevation data.

residuals(reference_dem, dem_to_be_aligned)

Calculate the residual offsets (the difference) between two DEMs after applying the transformation.

to_matrix()

Convert the transform to a 4x4 transformation matrix.

Attributes

is_affine

Check if the transform be explained by a 3D affine transform.