xdem.coreg.DhMinimize

class xdem.coreg.DhMinimize(fit_minimizer=<function minimize>, fit_loss_func=<function nmad>, subsample=500000.0)

Elevation difference minimization coregistration.

Estimates vertical and horizontal translations.

The translation parameters are stored in the self.meta[“outputs”][“affine”] 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__(fit_minimizer=<function minimize>, fit_loss_func=<function nmad>, subsample=500000.0)

Instantiate dh minimization object.

Parameters:

• fit_minimizer (Callable[..., tuple[ndarray[Any, dtype[floating[Any]]], Any]]) – Minimizer for the coregistration function.

• fit_loss_func (Callable[[ndarray[Any, dtype[floating[Any]]]], floating[Any]]) – Loss function for the minimization of residuals.

• subsample (int | float) – Subsample the input for speed-up. <1 is parsed as a fraction. >1 is a pixel count.

Methods

__init__([fit_minimizer, fit_loss_func, ...])	Instantiate dh minimization 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_rotations([x_rot, y_rot, z_rot])	Instantiate a generic Coreg class from a X/Y/Z rotation.
from_translations([x_off, y_off, z_off])	Instantiate a generic Coreg class from a X/Y/Z translation.
info([as_str])	Summarize information about this coregistration.
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.
to_rotations()	Extract X/Y/Z euler rotations (extrinsic convention) from the affine transformation matrix.
to_translations()	Extract X/Y/Z translations from the affine transformation matrix.

Attributes

is_affine	Check if the transform be explained by a 3D affine transform.
is_translation
meta	Metadata dictionary of the coregistration.