aws.osml.gdal.sicd_sensor_model_builder module

aws.osml.gdal.sicd_sensor_model_builder.xyztype_to_ndarray(xyztype: XYZType | XYZType) → ndarray

Convert the XYZType to a 1-d NumPy array.

Parameters:

xyztype – the XYZType dataclass

Returns:

the NumPy array

aws.osml.gdal.sicd_sensor_model_builder.poly1d_to_native(poly1d: Poly1DType | XYZType) → Polynomial

Convert the Poly1DType to a NumPy Polynomial.

Parameters:

poly1d – the Poly1D dataclass

Returns:

the NumPy polynomial with matching coefficients

aws.osml.gdal.sicd_sensor_model_builder.poly2d_to_native(poly2d: Poly2DType | Poly2DType) → Polynomial2D

Convert the Poly2D dataclass to a Polynomial2D.

Parameters:

poly2d – the Poly2D dataclass

Returns:

the Polynomial2D with matching coefficients

aws.osml.gdal.sicd_sensor_model_builder.xyzpoly_to_native(xyzpoly: XYZPolyType | XYZPolyType) → PolynomialXYZ

Convert the XYZPoly dataclass into a PolynomialXYZ.

Parameters:

xyzpoly – the XYZPoly dataclass

Returns:

the PolynomialXYZ with matching coefficients

class aws.osml.gdal.sicd_sensor_model_builder.SICDSensorModelBuilder(sicd_xml: str)

Bases: SensorModelBuilder

This builder is used to create sensor models for images that have SICD metadata. The metadata is provided as XML that conforms to the SICD specifications. We intend to support multiple SICD versions but the current software was implemented using the v1.2.1 and v1.3.0 specifications.

build() → SensorModel | None

Attempt to build a precise SAR sensor model. This sensor model handles chipped images natively.

Returns:

the sensor model; if available

static from_dataclass(sicd: SICD | SICD) → SensorModel | None

This method constructs a SICD sensor model from the python dataclasses generated when parsing the XML.

Parameters:

sicd – the dataclass object constructed from the XML

Returns:

the sensor model; if available