xdem.coreg.NuthKaab#
- class xdem.coreg.NuthKaab(max_iterations=10, offset_threshold=0.05, subsample=500000.0)[source]#
Nuth and Kääb (2011) DEM coregistration.
Implemented after the paper: https://doi.org/10.5194/tc-5-271-2011
- __init__(max_iterations=10, offset_threshold=0.05, subsample=500000.0)[source]#
Instantiate a new Nuth and Kääb (2011) coregistration object.
Methods
__init__
([max_iterations, offset_threshold, ...])Instantiate a new Nuth and Kääb (2011) coregistration object.
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.
centroid
()Get the centroid of the coregistration, if defined.
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.
from_matrix
(matrix)Instantiate a generic Coreg class from a transformation matrix.
from_translation
([x_off, y_off, z_off])Instantiate a generic Coreg class from a X/Y/Z translation.
residuals
(reference_dem, dem_to_be_aligned)Calculate the residual offsets (the difference) between two DEMs after applying the transformation.
to_matrix
()Convert the transform to a 4x4 transformation matrix.
Attributes
is_affine
Check if the transform be explained by a 3D affine transform.