Nonlocal low-rank SAR stack despeckling

Code for the paper Robust nonlocal low-rank SAR time series despeckling considering speckle correlation by total variation regularization.

Installation

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

Tests

Execute pytest in the root directory to run all unit tests.

Examples

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.

Citation

@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},
}