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0.10.3 (2023-08-11)

  • !21: Fixed some warnings during package build process and 'make docs'.

0.10.2 (2021-12-16)

  • Replaced deprecated numpy data types.

0.10.1 (2021-12-15)

  • Migrated test calls from nosetests to pytest (!20).

0.10.0 (2021-09-27)

  • Solved matplotlib DeprecationWarning.
  • 'make lint' now directly prints the log output.
  • Revised RSImage_ClusterPredictor.predict() to improve speed (reduced processing time to 70-50% of the previous version).
  • Added weights attribute to prediction result.
  • RSImage_ClusterPredictor.predict now logs the fractions of nodata, global and optimized regressors.
  • Added 'progress' keyword to SpectralHomogenizer and RSImage_ClusterPredictor. Improved log output.
  • Fixed TypeError in case the input image for the prediction has no nodata pixels and no in- and output nodata value is given.
  • Fixed type error in case non-kNN regressors are used for prediction.
  • Fixed Exception in case a ClassifierCollection does not have the requested key (LBA).
  • Revised test_spechomo_install CI job (now uses mamba).
  • Added sphinx plugin requirements to environment_spechomo.yml.
  • Updated minimal versions of py_tools_ds and geoarray to 0.18.0 and 0.15.0. Added minimal version 0.5.0 of pyrsr.
  • Switched to Apache 2.0 license.
  • The CI runner now uses Mambaforge. Revised CI jobs accordingly.

0.9.3 (2020-12-15)

  • Fixed incorrect handling of classification map nodata value in SpectralHomogenizer (default is now -9999).
  • Updated minimal version of specclassify to 0.2.8. This fixes issue #8 (Homogenization using kNN classifiers uses faulty weights in case SpectralHomogenizer.predict_by_machine_learner() is called with global_clf_threshold=None.).
  • Changed minimum and maximum values used for normalization of spectral distance measures. SAM values are now normalized between 0 and 15 degrees SA and all other measures use the 90% percentile as maximum value. This fixes issue #9 (Harmonization weights are affected by extreme values in the computed spectral distances between spectrum and available regressors.).

0.9.2 (2020-12-15)

  • Cluster classifiers can now be saved as JSON files (relates to issue #5).
  • Added attributes 'spechomo_version' and 'spechomo_versionalias' to ClusterLearner.

0.9.1 (2020-12-11)

  • Added URL checker and corresponding CI job.
  • Removed travis related files.
  • Replaced hard-coded links in documentation by cross-linking directives.

0.9.0 (2020-11-02)

  • Replaced deprecated 'source activate' by 'conda activate.'
  • Updated installation instructions.
  • Revised requirements.
  • Added doc, test, lint and dev requirements to optional requirements in setup.py.
  • Updated LR and QR classifiers.
  • Added sklearn import to avoid static TLS ImportError.
  • Improved code style of SpectralHomogenizer.interpolate_cube() and SpectralHomogenizer.predict().
  • Bugfix for also predicting spectral information for pixels that contain nodata in any band (causes faulty predictions).
  • Bugfix for only choosing 25 spectra in classifier creation in case the maximum angle threshold is automatically set to 0 because there are many well matching spectra.
  • Added minimal version of geoarray.

0.8.2 (2020-10-12)

  • Use SPDX license identifier and set all files to GLP3+ to be consistent with license headers in the source files.

0.8.1 (2020-10-08)

  • Added latest QR classifiers.

0.8.0 (2020-10-07)

  • SpecHomo is now on conda-forge! Updated the installation instructions accordingly.

0.7.0 (2020-10-01)

  • Re-trained LR classifiers.
  • Updated classifiers within test data.
  • Classifiers are no longer stored in the repository (resources directory) but are automatically downloaded on demand at the first run (added corresponding code).
  • Fixed TemporaryDirectory bug in Test_Utils.test_export_classifiers_as_JSON().
  • Re-enabled CI job 'deploy_pypi'.

0.6.10 (2020-09-25)

  • Fixed an AssertionError within ClusterClassifier_Generator.create_classifiers() caused by nodata pixels in the target sensor reference cube that were not dropped before creating the classifier.

0.6.9 (2020-09-25)

  • Moved matplotlib imports function/class level to avoid static TLS ImportError.

0.6.8 (2020-09-25)

  • Moved scipy imports function/class level to avoid static TLS ImportError.
  • environment_spechomo.yml now uses Python 3.7+.
  • scikit-learn is now pinned to 0.23.2+ due to classifier recreation.

0.6.7 (2020-09-24)

  • Fixed a DeprecationWarning in case of scikit-learn>=0.23.
  • Dumped regressors now use the second highest dill protocol in order to have some downwards compatibility.

0.6.6 (2020-09-24)

  • Moved imports of scikit-learn to function/class level to avoid static TLS ImportError.

0.6.5 (2020-09-15)

  • Replaced deprecated HTTP links.

0.6.4 (2020-04-09)

  • Fixed test_spechomo_install CI job.

0.6.3 (2020-04-09)

  • Fixed create_github_release CI job.

0.6.2 (2020-04-09)

  • Releases in the GitHub-Mirror-Repository are now created automatically (added create_release_from_gitlab_ci.sh and create_github_release CI job).
  • Added GitHub issue template.

0.6.1 (2020-04-07)

  • Revised CITATION file and .zenodo.json.

0.6.0 (2020-04-04)

  • Added functionality to export existing .dill classifiers to JSON format to make them also usable in different programming environments.
  • The documentation now contains links to the published version of the research paper corresponding to SpecHomo.
  • Changed Zenodo title and description.
  • Fixed fallback algorithm in SpectralHomogenizer.predict_by_machine_learner() and added corresponding tests.
  • SpectralHomogenizer.interpolate_cube() now returns a GeoArray instead of a numpy array.

0.5.0 (2020-02-20)

  • Removed pyresample dependency (not needed anymore).
  • Updated README.rst and setup.py.
  • Pinned geopandas to below version 0.6.3 to fix an incompatibility with pyproj.
  • Updated CI runner setup scripts and CI jobs.
  • Updated LR and QR classifiers.

0.4.0 (2019-10-07)

  • Added Sphinx documentation.
  • Improved usability by adding functions to explore available spectral tansformations.

0.3.0 (2019-09-25)

  • All tests are working properly now.
  • Added license texts.
  • Revised global classifiers.
  • Added harmonization using weighted averaging.

0.2.0 (2019-07-22)

  • A lot of algorithm improvements. Refer to the commits for details.

0.1.0 (2019-03-26)

  • First version working separately from geomultisens.