cars.bundleadjustment
=====================

.. py:module:: cars.bundleadjustment

.. autoapi-nested-parse::

   cars-bundleadjustment



Functions
---------

.. autoapisummary::

   cars.bundleadjustment.matches_concatenation
   cars.bundleadjustment.estimate_intersection_residues_from_matches
   cars.bundleadjustment.aggregate_matches_by_cell
   cars.bundleadjustment.plane_regression
   cars.bundleadjustment.create_deformation_grid
   cars.bundleadjustment.refine_rpc
   cars.bundleadjustment.write_rpcs_as_geom
   cars.bundleadjustment.new_rpcs_from_matches
   cars.bundleadjustment.cars_bundle_adjustment
   cars.bundleadjustment.cli


Module Contents
---------------

.. py:function:: matches_concatenation(matches_list, pairing, nb_decimals)

   Concatenate matches computed by pair: for the second and
   subsequent pairs, the first image must be included in the list
   of previous images.


.. py:function:: estimate_intersection_residues_from_matches(geomodels, matches_dataframe, ignored=None)

   Compute intersections from multiple matches and estimate the
   residues as the difference between the previous sensor position and
   the inverse location of the multiple views intersection.


.. py:function:: aggregate_matches_by_cell(matches_dataframe, step, min_matches)

   Aggregate matches with a step computing from matches density
   matches density: footprint divided by number of matches
   to deduce a "resolution


.. py:function:: plane_regression(points, values)

   Deduce a plane fitting points / values


.. py:function:: create_deformation_grid(images, regular_matches, interp_mode, step, aggregate_step)

   Compute the deformation grid with a defined step
   if interp_mode is True, nan is replaced by the row mean
   else the deformation is a plane deformation


.. py:function:: refine_rpc(geomodels, old_coordinates, new_coordinates)

   Compute new rpc matching old and new coordinates


.. py:function:: write_rpcs_as_geom(refined_rpcs, out_dir)

   Write RPCs as geomfiles


.. py:function:: new_rpcs_from_matches(sensors, config_directory, sparse_matching_directory, pairing=None, nb_decimals=0, min_matches=50, step=5, aggregate_matches=True, interp_mode=False)

   Main function of cars-bundleadjustement for new RPCs estimation:
   - Retrieve matches from pairs and concatenate
   - Estimate residues by inverse location
   - Compute new RPCs


.. py:function:: cars_bundle_adjustment(conf, no_run_sparse, output_format='yaml')

   cars-bundleadjustement main:
   - Launch CARS to compute homologous points (run sparse matching)
   - Compute new RPCs


.. py:function:: cli()

   Command Line Interface