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import logging
import numpy as np
import xarray as xr
from pathlib import Path
log = logging.getLogger(__name__)
def read_T3_psp(input_dir: str):
"""Reads a T3 matrix in the PolSARPro format.
Args:
input_dir (str): Input directory containing the elements of the T3 matrix and the configuration file config.txt.
"""
input_path = Path(input_dir)
if not input_path.is_dir():
raise FileNotFoundError(f"Directory {input_dir} not found.")
pth_cfg = input_path / "config.txt"
if pth_cfg.is_file():
# read config and store in a dict
dict_cfg = {}
with open(pth_cfg, "r") as f:
lines = f.readlines()
lines = [line.replace("\n", "") for line in lines if "---" not in line]
for i in range(0, len(lines), 2):
dict_cfg[lines[i]] = lines[i + 1]
else:
raise FileNotFoundError("Configuration file config.txt does not exist.")
valid_mask_path = input_path / "mask_valid_pixels.bin"
is_valid_mask = True
if valid_mask_path.is_file():
valid_mask = read_psp_bin(valid_mask_path).astype(bool)
else:
is_valid_mask = False
log.info("Valid pixel mask not found, skipping.")
# image dimensions (azimuth, range)
naz = int(dict_cfg["Nrow"])
nrg = int(dict_cfg["Ncol"])
T3 = {}
for c in range(3):
for r in range(c + 1):
elt = f"T{r+1}{c+1}"
if r == c:
data = read_psp_bin(input_path / f"{elt}.bin", dtype="float32")
if is_valid_mask:
data = np.where(valid_mask, data, np.nan)
T3[f"m{r+1}{c+1}"] = (("y", "x"), data)
else:
data_real = read_psp_bin(
input_path / f"{elt}_real.bin", dtype="float32"
)
data_imag = read_psp_bin(
input_path / f"{elt}_imag.bin", dtype="float32"
)
if is_valid_mask:
data = np.where(valid_mask, data, np.nan + 1j * np.nan)
T3[f"m{r+1}{c+1}"] = (("y", "x"), data_real + 1j * data_imag)
attrs = {"poltype": "T3", "description": "Coherency matrix (3x3)"}
return xr.Dataset(T3, attrs=attrs).chunk({"x": 512, "y": 512})
def read_C3_psp(input_dir: str):
"""Reads a C3 matrix in the PolSARpro format.
Args:
input_dir (str): Input directory containing the elements of the C3 matrix and the configuration file config.txt.
"""
input_path = Path(input_dir)
if not input_path.is_dir():
raise FileNotFoundError(f"Directory {input_dir} not found.")
pth_cfg = input_path / "config.txt"
if pth_cfg.is_file():
# read config and store in a dict
dict_cfg = {}
with open(pth_cfg, "r") as f:
lines = f.readlines()
lines = [line.replace("\n", "") for line in lines if "---" not in line]
for i in range(0, len(lines), 2):
dict_cfg[lines[i]] = lines[i + 1]
else:
raise FileNotFoundError("Configuration file config.txt does not exist.")
valid_mask_path = input_path / "mask_valid_pixels.bin"
is_valid_mask = True
if valid_mask_path.is_file():
valid_mask = read_psp_bin(valid_mask_path).astype(bool)
else:
is_valid_mask = False
log.info("Valid pixel mask not found, skipping.")
# image dimensions (azimuth, range)
naz = int(dict_cfg["Nrow"])
nrg = int(dict_cfg["Ncol"])
C3 = {}
for c in range(3):
for r in range(c + 1):
elt = f"C{r+1}{c+1}"
if r == c:
data = read_psp_bin(input_path / f"{elt}.bin", dtype="float32")
if is_valid_mask:
data = np.where(valid_mask, data, np.nan)
C3[f"m{r+1}{c+1}"] = (("y", "x"), data)
else:
data_real = read_psp_bin(
input_path / f"{elt}_real.bin", dtype="float32"
)
data_imag = read_psp_bin(
input_path / f"{elt}_imag.bin", dtype="float32"
)
if is_valid_mask:
data = np.where(valid_mask, data, np.nan + 1j * np.nan)
C3[f"m{r+1}{c+1}"] = (("y", "x"), data_real + 1j * data_imag)
attrs = {"poltype": "C3", "description": "Covariance matrix (3x3)"}
return xr.Dataset(C3, attrs=attrs).chunk("auto").chunk({"x": 512, "y": 512})
def read_psp_bin(file_name: str, dtype: str = "float32"):
"""Reads a raster bin file in the PolSARPro format.
Args:
file_name (str): Input file.
Note:
The parent directory must contain a config.txt file.
"""
file_path = Path(file_name)
input_dir = file_path.parent
pth_cfg = input_dir / "config.txt"
if pth_cfg.exists():
# read config and store in a dict
cfg = {}
with open(pth_cfg, "r") as f:
lines = f.readlines()
lines = [line.replace("\n", "") for line in lines if "---" not in line]
for i in range(0, len(lines), 2):
cfg[lines[i]] = lines[i + 1]
else:
raise FileNotFoundError("Configuration file config.txt does not exist.")
# image dimensions (azimuth, range)
naz = int(cfg["Nrow"])
nrg = int(cfg["Ncol"])
return np.fromfile(file_path, dtype=dtype, count=naz * nrg).reshape((naz, nrg))
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