cars_mesh.tools.rpc
===================

.. py:module:: cars_mesh.tools.rpc

.. autoapi-nested-parse::

   Rational Polynomial Coefficients (RPC) tools



Classes
-------

.. autoapisummary::

   cars_mesh.tools.rpc.RPC
   cars_mesh.tools.rpc.PleiadesRPC


Functions
---------

.. autoapisummary::

   cars_mesh.tools.rpc.apply_rpc_list


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

.. py:class:: RPC(polynomials: Union[list, tuple, numpy.ndarray], degrees: Union[list, tuple, numpy.ndarray], rpc_type: str)

   Rational Polynomial Coefficients


   .. py:attribute:: polynomials


   .. py:attribute:: degrees


   .. py:attribute:: rpc_type


   .. py:attribute:: ref_offset
      :value: []



   .. py:attribute:: ref_scale
      :value: []



   .. py:attribute:: out_offset
      :value: []



   .. py:attribute:: out_scale
      :value: []



   .. py:method:: set_normalisation_coefs(coefs: Union[list, tuple, numpy.ndarray]) -> None

      Set normalisation coefficients for RPC



.. py:class:: PleiadesRPC(rpc_type: str, polynomials: Union[list, tuple, numpy.ndarray] = None, path_rpc: str = None)

   Bases: :py:obj:`RPC`


   RPC for Pleiades


   .. py:attribute:: degrees
      :value: [[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 1, 0], [1, 0, 1], [0, 1, 1], [2, 0, 0], [0, 2,...



   .. py:method:: _parse_rpc_xml(path_inverse_rpc: str) -> tuple

      Function that parses the xml file to get the RPC



   .. py:method:: set_inverse_rpc(path_rpc: str) -> None

      Set RPC for inverse location from a XML RPC file



.. py:function:: apply_rpc_list(rpc: RPC, input_coords: Union[tuple, list, numpy.ndarray]) -> numpy.ndarray

   Function that computes inverse locations using rpc

   :param rpc: RPC parameters
   :type rpc: RPC
   :param input_coords: Coordinates expressed in geo (lon, lat) if ground coordinates, or
                        (row, col) for image coordinates
   :type input_coords: (N, 3) or (N, 2) tuple or list or np.ndarray

   :returns: **res** -- Coordinates transformed by direct (lon, lat, alt) or inverse
             (col, row) location
   :rtype: (N, 3) or (N, 2) tuple or list or np.ndarray