xdem.coreg.CoregPipeline

class xdem.coreg.CoregPipeline(pipeline)

A sequential set of co-registration processing steps.

__init__(pipeline)

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.
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.
info([as_str])	Summarize information about this coregistration.
to_matrix()	Convert the transform to a 4x4 transformation matrix.

Attributes

is_affine	Check if the transform be explained by a 3D affine transform.
is_translation
meta	Metadata dictionary of the coregistration.