Metadata-Version: 2.1
Name: specclassify
Version: 0.3.0
Summary: A Python package for multi- or hyperspectral image classification.
Home-page: https://git.gfz-potsdam.de/geomultisens/specclassify
Author: Daniel Scheffler
Author-email: daniel.scheffler@gfz-potsdam.de
License: Apache-2.0
Keywords: specclassify,remote sensing,multispectral,hyperspectral,image classification
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
License-File: LICENSE
License-File: AUTHORS.rst

============
specclassify
============

A Python package for multi- or hyperspectral image classification.

* Free software: Apache-2.0
* **Documentation:** https://geomultisens.git-pages.gfz-potsdam.de/specclassify/doc/
* Submit feedback by filing an issue `here <https://git.gfz-potsdam.de/geomultisens/specclassify/issues>`__.


Status
------

.. image:: https://git.gfz-potsdam.de/geomultisens/specclassify/badges/master/pipeline.svg
        :target: https://git.gfz-potsdam.de/geomultisens/specclassify/commits/master
.. image:: https://git.gfz-potsdam.de/geomultisens/specclassify/badges/master/coverage.svg
        :target: https://geomultisens.git-pages.gfz-potsdam.de/specclassify/coverage/
.. image:: https://img.shields.io/pypi/v/specclassify.svg
        :target: https://pypi.python.org/pypi/specclassify
.. image:: https://img.shields.io/pypi/l/specclassify.svg
        :target: https://git.gfz-potsdam.de/geomultisens/specclassify/blob/master/LICENSE
.. image:: https://img.shields.io/pypi/pyversions/specclassify.svg
        :target: https://img.shields.io/pypi/pyversions/specclassify.svg

See also the latest coverage_ report and the nosetests_ HTML report.


Features
--------

* TODO


Credits
-------

The specclassify package was developed within the context of the GeoMultiSens project funded
by the German Federal Ministry of Education and Research (project grant code: 01 IS 14 010 A-C)

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
.. _coverage: https://geomultisens.git-pages.gfz-potsdam.de/specclassify/coverage/
.. _nosetests: https://geomultisens.git-pages.gfz-potsdam.de/specclassify/nosetests_reports/nosetests.html


=======
History
=======

0.1.0 (2019-08-14)
------------------

* First release on PyPI.


