xdem.coreg.NuthKaab#
- class xdem.coreg.NuthKaab(max_iterations=10, offset_threshold=0.05, subsample=500000.0)[source]#
Nuth and Kääb (2011) coregistration, https://doi.org/10.5194/tc-5-271-2011.
Estimate horizontal and vertical translations by iterative slope/aspect alignment.
The translation parameters are stored in the self.meta keys “shift_x”, “shift_y” and “shift_z” (in georeferenced units for horizontal shifts, and unit of the elevation dataset inputs for the vertical shift), as well as in the “matrix” transform.
- __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(elev[, bias_vars, resample, ...])Apply the estimated transform to a DEM.
centroid()Get the centroid of the coregistration, if defined.
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.
fit_and_apply(reference_elev, to_be_aligned_elev)Estimate and apply the coregistration to a pair of 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_elev, to_be_aligned_elev)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_affineCheck if the transform be explained by a 3D affine transform.
metaMetadata dictionary of the coregistration.