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

Project description

http://danschef.gitext.gfz-potsdam.de/arosics/images/arosics_logo.png

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

Status

https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/build.svg https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/coverage.svg https://img.shields.io/pypi/v/arosics.svg

See also the latest coverage report.

Features

  • TODO

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

Bugfixes:

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

Project details


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This version

0.4.8

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arosics-0.4.8.tar.gz (7.7 MB view hashes)

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