xdem.coreg.Coreg#

class xdem.coreg.Coreg(meta=None)[source]#

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)[source]#

Instantiate a generic processing step method.

Methods

__init__([meta])

Instantiate a generic processing step method.

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.

Attributes

is_affine

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