xdem.coreg.Coreg

class xdem.coreg.Coreg(meta=None)

Generic co-registration processing class.

Used to implement methods common to all processing steps (rigid alignment, bias corrections, filtering). Those are: instantiation, copying and addition (which casts to a Pipeline object).

Made to be subclassed.

__init__(meta=None)

Instantiate a generic processing step method.

Methods

__init__([meta])	Instantiate a generic processing step method.
apply(elev[, bias_vars, resample, ...])
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)
info([as_str])

Attributes

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