def update_image_data(sicd, band_name):
# type: (SICDType, str) -> Tuple[float, float, float, float, int]
cols, rows = shape_dict[band_name]
# zero doppler time of first/last columns
t_az_first_time = band_dict[band_name][
'Zero Doppler Azimuth First Time']
t_az_last_time = band_dict[band_name][
'Zero Doppler Azimuth Last Time']
t_ss_az_s = band_dict[band_name]['Line Time Interval']
t_use_sign2 = 1
if h5_dict['Look Side'].upper() == 'LEFT':
t_use_sign2 = -1
t_az_first_time, t_az_last_time = t_az_last_time, t_az_first_time
# zero doppler time of first row
t_rg_first_time = band_dict[band_name][
'Zero Doppler Range First Time']
# row spacing in range time (seconds)
t_ss_rg_s = band_dict[band_name]['Column Time Interval']
sicd.ImageData = ImageDataType(NumRows=rows,
NumCols=cols,
FirstRow=0,
FirstCol=0,
FullImage=(rows, cols),
PixelType=dtype_dict[band_name],
SCPPixel=RowColType(
Row=int(rows / 2),
Col=int(cols / 2)))
return t_rg_first_time, t_ss_rg_s, t_az_first_time, t_ss_az_s, t_use_sign2
def get_sicd(self):
"""
Extract the SICD details.
Returns
-------
SICDType
"""
if self._sicd is not None:
return self._sicd
if self._user_data is None:
self._read_user_data()
if self._caspr_data is None:
self._find_caspr_data()
# Check if the user data contains a sicd structure.
sicd_string = None
for nam in ['SICDMETA', 'SICD_META', 'SICD']:
if sicd_string is None:
sicd_string = self._user_data.get(nam, None)
# If so, assume that this SICD is valid and simply present it
if sicd_string is not None:
root_node, xml_ns = parse_xml_from_string(sicd_string)
self._sicd = SICDType.from_node(root_node, xml_ns)
self._sicd.derive()
else:
# otherwise, we populate a really minimal sicd structure
num_rows, num_cols = self.data_size
self._sicd = SICDType(ImageData=ImageDataType(NumRows=num_rows,
NumCols=num_cols,
FirstRow=0,
FirstCol=0,
PixelType=self.pixel_type,
FullImage=FullImageType(NumRows=num_rows,
NumCols=num_cols),
SCPPixel=RowColType(Row=num_rows/2,
Col=num_cols/2)))
return self._sicd
def update_image_data(sicd, band_name):
# type: (SICDType, str) -> Tuple[float, float, float, float]
cols, rows = shape_dict[band_name]
t_az_first_time = band_dict[band_name]['Zero Doppler Azimuth First Time']
# zero doppler time of first column
t_ss_az_s = band_dict[band_name]['Line Time Interval']
if base_sicd.SCPCOA.SideOfTrack == 'L':
# we need to reverse time order
t_ss_az_s *= -1
t_az_first_time = band_dict[band_name]['Zero Doppler Azimuth Last Time']
# zero doppler time of first row
t_rg_first_time = band_dict[band_name]['Zero Doppler Range First Time']
# row spacing in range time (seconds)
t_ss_rg_s = band_dict[band_name]['Column Time Interval']
sicd.ImageData = ImageDataType(NumRows=rows,
NumCols=cols,
FirstRow=0,
FirstCol=0,
PixelType='RE16I_IM16I',
SCPPixel=RowColType(Row=int(rows/2),
Col=int(cols/2)))
return t_rg_first_time, t_ss_rg_s, t_az_first_time, t_ss_az_s