Metadata-Version: 2.1
Name: spurs
Version: 0.0.2
Summary: Sparse phase unwrapping for InSAR interferograms
Home-page: https://github.com/scottstanie/spurs/tree/master/
Author: Scott Staniewicz
Author-email: scott.stanie@utexas.edu
License: Apache Software License 2.0
Keywords: insar phase unwrap admm optimization
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: scipy
Requires-Dist: numpy

# spurs



## Install

`pip install spurs`

`conda install spurs`

## How to use

Installation will create a command line script `spurs`:

```bash
spurs 20150608_20170808.int
```
By default, will output to file `20150608_20170808.unw` matching the name.

To increase the tolerance (from `pi/10` radians) for faster convergence, showing iteration stats:
```bash
spurs 20150608_20170808.int -o 20150608_20170808.unw --tol .5 --debug
```

See `spurs --help` for all options.

Note that for input interferograms which aren't complex, float32 binary format, `gdal` must be installed. E.g. for a VRT input:

```bash
spurs 20150608_20170808.vrt -o 20150608_20170808.unw
```



spurs is an open source implementation of [1]:

## References

1. Chartrand, Rick, Matthew T. Calef, and Michael S. Warren. "Exploiting Sparsity for Phase Unwrapping." IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019.


