xdem.coreg.CoregPipeline

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(elev[, bias_vars, resample, ...])

Apply the estimated transform to a DEM.

copy()

Return an identical copy of the class.

error(reference_elev, to_be_aligned_elev[, ...])

Calculate the error of a coregistration approach.

fit(reference_elev, to_be_aligned_elev[, ...])

Estimate the coregistration transform on the given DEMs.

fit_and_apply(reference_elev, to_be_aligned_elev)

Estimate and apply the coregistration to a pair of elevation data.

residuals(reference_elev, to_be_aligned_elev)

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.

meta

Metadata dictionary of the coregistration.