arosics 0.4.17

An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

• Free software: GNU General Public License v3

• Documentation: http://danschef.gitext.gfz-potsdam.de/arosics/doc/

Status

See also the latest coverage report.

Features

• Detection and correction of local or global geometric displacements between two input images.

Installation

Use the pip installer:

pip install arosics

Or clone the repository via GIT and update the PATH environment variable:

cd /your/installation/folder

git clone https://gitext.gfz-potsdam.de/danschef/arosics.git

git clone https://gitext.gfz-potsdam.de/danschef/geoarray.git

git clone https://gitext.gfz-potsdam.de/danschef/py_tools_ds.git

PATH=$PATH:/path/to/your/installation/folder/arosics:/path/to/your/installation/folder/geoarray:/path/to/your/installation/folder/py_tools_ds

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template. The test data represent modified Copernicus Sentinel data (2016).

History

0.1.0 (2017-06-15)

• Package creation.

0.2.1 (2017-07-03)

• First release on PyPI.

0.4.0 (2017-07-07)

New features:

• added a logo

• added auto-deploy to PyPI

• added test cases for local co-registration

Fixes and improvements:

• fixed warping issues in case only very few tie points could be identified

0.5.0 (coming soon)

Fixes and improvements:

• Coverage now also working in multiprocessing.

• Replaced test data of test case INTER1 with LZW compressed GeoTIFFs to speed up testing.