aws.osml.photogrammetry.composite_sensor_model module

class aws.osml.photogrammetry.composite_sensor_model.CompositeSensorModel(approximate_sensor_model: SensorModel, precision_sensor_model: SensorModel)

Bases: SensorModel

A CompositeSensorModel is a SensorModel that combines an approximate but fast model with an accurate but slower model.

image_to_world(image_coordinate: ImageCoordinate, elevation_model: ElevationModel | None = None, options: Dict[str, Any] | None = None) → GeodeticWorldCoordinate

This function first calls the approximate model’s image_to_world function to get an initial guess and then passes that information to the more accurate model through the options parameter’s ‘initial_guess’ and ‘initial_search_distance’ options.

Parameters:

• image_coordinate – the x, y image coordinate

• elevation_model – an optional elevation model used to transform the coordinate

• options – the options that will be augmented and then passed along

Returns:

the longitude, latitude, elevation world coordinate

world_to_image(world_coordinate: GeodeticWorldCoordinate) → ImageCoordinate

This is just a pass through to the more accurate sensor model’s world_to_image. These calculations tend to be quicker so there is no need to involve the approximate model.

Parameters:

world_coordinate – the longitude, latitude, elevation world coordinate

Returns:

the x, y image coordinate