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', bias_var_names=None, subsample=1.0)[source]#
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', bias_var_names=None, subsample=1.0)[source]#
Instantiate a bias correction object.
Methods
__init__
([fit_or_bin, fit_func, ...])Instantiate a bias correction object.
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.
residuals
(reference_elev, to_be_aligned_elev)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.