Code for the paper Robust nonlocal low-rank SAR time series despeckling considering speckle correlation by total variation regularization.
If necessary create a new Python environment. Install requirements.
pip install -r requirements.txt
Install package.
pip install .
Sphinx documentation can be built using
python setup.py build_sphinx
Execute pytest in the root directory to run all unit tests.
Examples show the impact of TV regularization along the x or y axes, the benefit of the weighted nuclear norm normalization, and how to use the code for despeckling a stack.
@article{baier2020nllrtv,
author = {G. {Baier} and W. {He} and N. {Yokoya}},
title = {Robust nonlocal low-rank {SAR} time series despeckling considering speckle correlation by total variation regularization},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {2020},
month = {Early access},
volume = {Early access},
number = {Early access},
doi = {10.1109/TGRS.2020.2985400},
url = {https://ieeexplore.ieee.org/document/9079477},
}