xdem.coreg.BiasCorr

class xdem.coreg.BiasCorr(fit_or_bin='fit', fit_func='norder_polynomial', fit_optimizer=<function curve_fit>, bin_sizes=10, bin_statistic=<function nanmedian>, bin_apply_method='linear')

Parent class of bias correction methods: non-rigid coregistrations.

Made to be subclassed to pass default parameters/dimensions more intuitively, or to provide wrappers for specific types of bias corrections (directional, terrain, etc).

__init__(fit_or_bin='fit', fit_func='norder_polynomial', fit_optimizer=<function curve_fit>, bin_sizes=10, bin_statistic=<function nanmedian>, bin_apply_method='linear')

Instantiate a bias correction object.

Methods

__init__([fit_or_bin, fit_func, ...])	Instantiate a bias correction object.
apply(dem[, bias_vars, transform, crs, 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.