Metadata-Version: 1.1
Name: arosics
Version: 0.4.17
Summary: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data
Home-page: https://gitext.gfz-potsdam.de/danschef/arosics
Author: Daniel Scheffler
Author-email: daniel.scheffler@gfz-potsdam.de
License: GNU General Public License v3
Description: .. figure:: http://danschef.gitext.gfz-potsdam.de/arosics/images/arosics_logo.png
                :target: https://gitext.gfz-potsdam.de/danschef/arosics
        
        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
        ------
        
        .. .. image:: https://img.shields.io/travis/danschef/arosics.svg
                :target: https://travis-ci.org/danschef/arosics
        
        .. .. image:: https://readthedocs.org/projects/arosics/badge/?version=latest
                :target: https://arosics.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. .. image:: https://pyup.io/repos/github/danschef/arosics/shield.svg
             :target: https://pyup.io/repos/github/danschef/arosics/
             :alt: Updates
        
        
        .. image:: https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/build.svg
                :target: https://gitext.gfz-potsdam.de/danschef/arosics/commits/master
        .. image:: https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/coverage.svg
                :target: http://danschef.gitext.gfz-potsdam.de/arosics/coverage/
        .. image:: https://img.shields.io/pypi/v/arosics.svg
                :target: https://pypi.python.org/pypi/arosics
        
        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).
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        .. _coverage: http://danschef.gitext.gfz-potsdam.de/arosics/coverage/
        
        
        
        =======
        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.
        
Keywords: arosics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
