arosics 0.4.33

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 and the nosetests HTML report.

Features

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

Installation

AROSICS depends on some open source packages which are usually installed without problems by the automatic install routine. However, for some projects, we strongly recommend resolving the dependency before the automatic installer is run. This approach avoids problems with conflicting versions of the same software. Using conda, the recommended approach is:

# create virtual environment for arosics, this is optional
conda create -y -q --name arosics python=3
source activate arosics
conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely
conda install -y -q -c conda-forge pyfftw basemap pykrige  # these libraries are optional

To install AROSICS, 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.