cars.applications.sparse_matching.methods.abstract_sparse_matching_method

This module contains the abstract sparse matching method class

Classes

AbstractSparseMatchingMethod

AbstractSparseMatchingMethod

Module Contents

class cars.applications.sparse_matching.methods.abstract_sparse_matching_method.AbstractSparseMatchingMethod(conf=None)

AbstractSparseMatchingMethod This class is an abstraction for the low-level sparse matching method concept.

available_methods: Dict

default_method = 'sift'

classmethod __init_subclass__(short_name, **kwargs)

schema = None

used_config = None

abstract get_required_bands()

Get bands required by this method.

Returns:

required bands for left and right image

Return type:

dict

abstract run(left_image_object: xarray.Dataset, right_image_object: xarray.Dataset, saving_info_left=None, disp_lower_bound=None, disp_upper_bound=None, classif_bands_to_mask=None)

Run sparse matching on a pair of epipolar tiles.

Parameters:

• left_image_object (xr.Dataset) – left epipolar tile

• right_image_object (xr.Dataset) – right epipolar tile

• saving_info_left (dict) – saving information for outputs

• disp_lower_bound (float or None) – lower disparity bound

• disp_upper_bound (float or None) – upper disparity bound

• classif_bands_to_mask (list of str / int) – bands from classification to mask

Returns:

left matches dataframe