A Python package to fusion LR and HR imagery
Project description
sathybrid
A Python package to fusion LR and HR imagery
Installation
pip install sathybrid
Usage
import sathybrid
import pathlib
# Select the HR image
PATH = pathlib.Path("/home/cesar/demo/NA5120_E1186N0724/")
HRfile = PATH / "naip" / "m_3812243_nw_10_060_20220524.tif"
# Find the most similar LR image
data_stats = sathybrid.utils.find_similar_lr(
hr_file=HRfile,
lr_folder=PATH / "s2",
hr_bands=[1, 2, 3],
hr_normalization=255,
lr_bands=[3, 2, 1],
lr_normalization=10_000,
downsampling_method="lanczos3",
method="fft_l1",
)
# Select the best LR image
LRfile = PATH / "s2" / (data_stats.iloc[0]["lr_img"] + ".tif")
# Define the output path
OUTfile = PATH / "fusion.tif"
# Fusion
sathybrid.image_fusion(
hr_file=HRfile,
lr_file=LRfile,
output_file=OUTfile,
hr_bands=[1, 2, 3],
hr_normalization=255,
lr_bands=[3, 2, 1],
lr_normalization=10_000,
upsampling_method="lanczos3",
fourier=True,
fourier_params={"method": "ideal", "order": 6, "sharpness": 3},
scale_factor=8,
denoise=True,
)
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